Industrial & Manufacturing Energy, Utilities & Sustainability Carbon & Climate Reporting

Climate Disclosure

Long-cycle programs where regulation, capital, and grid reliability define the pace.

Persefoni Watershed Measurabl Microsoft Sustainability Cloud
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm decision roles (sustainability, finance, legal, audit committee), timelines, and what ‘good’ looks like for disclosures and assurance.

      Alignment Questions

      Quick Intro: Who’s in the Room?

      • To kick off—who are the people on your internal team that will be directly involved in decision-making for climate disclosures? Options: Chief Sustainability Officer, Controller, VP Financial Reporting, Corporate Secretary, CFO, General Counsel, Head of ESG, Audit Committee Chair, External Auditor, Other
      • Who currently 'owns' the sustainability disclosure program day-to-day (data collection, narrative, and submission)? Options: CSO / Head of Sustainability, Controller / Accounting, VP Financial Reporting, Corporate Secretary, Legal / Compliance, Shared team, Other
      • How urgent is your need to produce an auditable climate disclosure (e.g., next SEC filing, CSRD cycle)? Options: Immediate – within 1–3 months, This quarter, Within 6 months, Within 12 months, No fixed deadline yet
      • What is the single biggest worry on your mind about the upcoming disclosure process?
      • Who in your organization will ultimately sign off on the final disclosure (select primary and backups)? Options: CSO / Head of Sustainability, Controller / CFO, Corporate Secretary, Audit Committee Chair, General Counsel, Other

      Why Are We Still Waiting?

      • If delays are the default, what’s the single assumption people keep making that keeps pushing decisions downstream? Options: We can retrofit data at the end, Assurance can be added later without cost, Internal systems will be sufficient, Regulation will be delayed/softened, Other
      • What specific bottlenecks have repeatedly slowed previous disclosure projects (people, systems, budget, governance, audit readiness)? Options: Lack of data owners, IT/ERP integration backlog, Budget approval delays, Legal review timelines, Audit readiness gaps, Supplier data collection, Other
      • Where do you tend to get stuck when trying to accelerate—process, approval, technical integration, or risk tolerance? Options: Process, Approvals/Board, Technical integration, Risk/Legal concerns, Budget, Other
      • How long have these bottlenecks been holding your team back, and what have you tried that worked even a little?
      • On a scale from 1–5, how would you describe internal alignment today on making a binding decision (1 = misaligned, 5 = fully aligned)? Options: 1, 2, 3, 4, 5

      If the Audit Committee Could Snap Its Fingers…

      • What would the audit committee consider an unacceptable outcome from your next climate disclosure? Options: Material misstatement, Insufficient audit trail, Missed filing deadline, Investor backlash, Reputational risk, Other
      • What level of external assurance do stakeholders and the board expect right now (if any)? Options: No external assurance, Internal control review only, Limited assurance, Reasonable assurance, Undecided / open
      • How confident are you that your current controls and documentation would withstand reasonable assurance from a Big Four firm? Options: Very confident, Somewhat confident, Not confident, Unsure
      • Have you faced audit findings or regulatory questions about non-financial disclosures in the past? If yes, please describe what they focused on. Options: Yes – data completeness, Yes – calculation methodology, Yes – governance/control gaps, No, Prefer not to say
      • If pursuing higher assurance requires investment, what trade-offs are your board or finance team willing to accept (time, budget, scope reduction)?

      Where Your Data Hides — and What It Won’t Tell You

      • What primary systems hold the emissions-related inputs we would need to connect to (select all that apply)? Options: ERP (SAP/Oracle), Utility billing system, Travel & expense / booking tools, EAM / maintenance systems, Procurement / P2P, Supplier questionnaires / CDP responses, HR systems, Other
      • Which scopes (1, 2, 3) do you currently report on, and where are the largest blind spots? Options: Scope 1, Scope 2, Scope 3 - Purchased goods & services, Scope 3 - T&E & logistics, Scope 3 - Use of sold products, We don’t currently report
      • How documented and repeatable are your calculation methods today (e.g., emission factors, allocation rules)? Options: Fully documented and version-controlled, Partially documented, Ad-hoc spreadsheets, Undocumented / tribal knowledge
      • Who are the system owners for the data sources you just selected, and how easy is it to get their time and access?
      • Roughly what percentage of your disclosure data collection is manual vs automated today? Options: >90% manual, 50–90% manual, 10–50% manual, <10% manual

      What Would 'Good' Actually Look Like Here?

      • If a regulator, auditor, and an investor all reviewed your disclosure tomorrow—what three things would you want them to say?
      • Which reporting frameworks and regulations are you targeting or required to meet in the near term? Options: SEC climate rules, EU CSRD, TCFD, ISSB / IFRS S1-S2, CDP, GHG Protocol, Other
      • What does a successful first auditable filing look like for you (on-time, zero audit adjustments, limited assurance achieved, board endorsement)? Options: On-time filing, Zero audit adjustments, Achieve limited assurance, Achieve reasonable assurance, Board and investor endorsement, Other
      • Who are the primary external audiences whose confidence matters most (investors, regulators, customers, lenders), and why? Options: Investors, Regulators, Customers, Lenders / banks, Rating agencies, Other
      • What internal metrics would prove to you and the board that the disclosure program is working over the next 12 months?

      Who Owns What When the Contract Starts?

      • If we handed you a runbook tomorrow, who would be responsible for implementing connectors, owning calculations, and approving outputs? Options: Sustainability team, Finance / Controller, IT / Data team, External consultants, Shared responsibilities
      • How comfortable are your IT and data teams with granting third-party access to the systems listed earlier (from 'fully comfortable' to 'requires lengthy approvals')? Options: Fully comfortable, Comfortable with SLA, Requires approvals but doable, Major security/legal barriers
      • What SLAs or response times would your team require for remediation or data issues during build and post-launch? Options: <24 hours, <72 hours, <1 week, Monthly updates only
      • Who in your organization will approve commercial and legal terms, and how long does that approval normally take?
      • Are there internal standards or audit protocols our implementation must meet (internal audit checklist, SOX linkage, data retention policies)? If so, please list them.

      The Decision Moment — How Will You Choose?

      • What would make you walk away from a vendor even if the product technically met your needs (e.g., lack of assurance expertise, poor references, data security doubts)?
      • Which evaluation criteria will carry the most weight in your decision (select top three)? Options: Track record with similar peers, Audit/assurance experience (Big Four), Ease of data integration, Speed to filing-ready outputs, Total cost of ownership, Customer support / SLA, Flexibility for bespoke calculations
      • What demonstrations or proofs would you need to feel comfortable (dry-run, reference calls, pilot, sample audit trail)? Options: Full disclosure dry-run, Reference calls with similar companies, Sample audited reports, Technical security review, Pilot connector build
      • Who must be present or consulted during the final vendor selection conversation (names/titles)?
      • What procurement or budget milestones remain before a commercial commit can be made? Options: Budget approval pending, Legal review pending, Board sign-off required, No milestones — ready to proceed

      Ready to Commit — What Would Give You Confidence?

      • If you could change one thing about your current disclosure process overnight, what would it be and why?
      • What are your top three remaining unknowns that, if answered, would make you comfortable moving forward?
      • Which formats of support would most reduce your perceived risk (select all that apply)? Options: Assurance advisory with former Big Four, Dry-run with audit trail, Dedicated implementation manager, Custom data connectors, Training for approvers
      • Practically speaking, what is the earliest your team could commit to a mutual commercial and legal agreement if all blockers are addressed? Options: Immediately, Within 2 weeks, 1–2 months, 3+ months, Undecided
      • Who should we schedule as the next meeting attendees (names/titles), and what outcome should that meeting produce?
    2. Current State Mapping

      Document existing data sources, controls, calculation methods, and gaps versus target frameworks and audit expectations.

      Current State

      Starting Where You Are: A Quick Snapshot

      • Who is on the core team currently responsible for climate disclosures and day-to-day data collection? Options: Chief Sustainability Officer, Controller / VP Financial Reporting, Corporate Secretary, Head of Sustainability, IT/Data Owner, Procurement Lead, External Auditor / Assurance Partner, No dedicated team yet, Other
      • Which systems currently hold emissions-relevant data in your organization? Options: ERP (SAP/Oracle/etc.), Utility billing system, Metering/SCADA/IoT, Travel & expense platform, Procurement/SRM, Sustainability/ESG platform, Manual spreadsheets (Excel/CSV), Third‑party data vendors, Other
      • Tell us briefly about the most recent climate disclosure you produced (frameworks reported, whether it was internally or externally assured, and who signed off).
      • How confident are you that the source data feeding your Scope 1, Scope 2 and main Scope 3 categories is complete today? Options: Very confident, Somewhat confident, Low confidence, Not confident / unknown
      • Which Scope 3 categories do you currently attempt to quantify (select all that apply)? Options: Purchased goods & services, Capital goods, Fuel- and energy-related (upstream), Upstream transportation & distribution, Waste generated, Business travel, Employee commuting, Use of sold products, End-of-life treatment, Other
      • Who prepares calculations and who performs final review/approval today? List roles or titles.

      Is Your Data Actually Trustworthy — Or Are We Pretending?

      • When was the last time someone traced a disclosed emissions number all the way back to a primary source document? Options: Within the last 3 months, 3–12 months ago, Over a year ago, Never / not possible
      • What formal controls exist today for data capture, validation, and change management? Options: Data quality rules / thresholds, Named data owners with sign-off, Automated reconciliation scripts, Version control / audit logs, Approval workflow for manual edits, No formal controls, Other
      • Describe a recent instance when a data correction or restatement was needed—what caused it and how was it resolved?
      • Are your emissions calculation methodologies documented, approved, and stored centrally? Options: Fully documented and approved, Partially documented, Ad hoc / maintained in spreadsheets, Not documented
      • How are emission factors selected, governed, and updated in your process? Options: Central factor library with versioning, Sourced per calculation and noted ad hoc, Managed by a third‑party data vendor, Embedded in spreadsheets only, Not formalized / unclear
      • Do you maintain an accessible audit trail (who changed what and when) for inputs and calculations? Options: Yes — system-based audit trail, Partial — some logs/manual records, No — changes not tracked, Unsure

      Where The Gaps Bite the Hardest

      • If an auditor asked for evidence of your Scope 3 calculations tomorrow, what specific gap or weakness would keep you awake? Options: Missing supplier invoices/source docs, Undocumented assumptions / methods, Inconsistent emission factors, No formal ownership for categories, System integration failures, Manual/one-off spreadsheets, Other
      • Which regulatory or framework requirements feel most out of reach for your current state? Options: SEC climate rules, EU CSRD, ISSB (IFRS S1/S2), TCFD-aligned disclosures, CDP, Multiple overlapping frameworks, None/Unsure
      • Where do sustainability, finance, and legal most frequently disagree about reported figures or methods? Give one concrete example.
      • How often do cross-functional escalations occur because of disputes over climate numbers or methodology? Options: Weekly, Monthly, Quarterly, Rarely, Never
      • What manual workarounds (spreadsheets, email reconciliations, offline approvals) do you depend on to complete disclosures?

      How Calculations Really Happen (Not How We Wish They Did)

      • Which specific calculations are you most worried would fail an assurance review? Options: Scope 1 combustion, Scope 1 fugitive emissions, Scope 2 market-based, Scope 2 location-based, Purchased goods & services (Scope 3 Category 1), Business travel (Scope 3 Category 6), Use of sold products (Category 11), Offsets / removals accounting, Other
      • What tools or environments run those calculations today? Options: Spreadsheets (Excel) only, Homegrown scripts / macros, Sustainability SaaS platform, ERP native calculations, External consultants perform calculations, Hybrid (mix of the above)
      • Walk me through one calculation from raw input to the final disclosure line — what systems, people, and validations touch it?
      • Do you capture version history and traceability for calculation formulas and templates? Options: Yes — full versioning and provenance, Partial — some manual records, No — not tracked, Unsure
      • What’s your current process for updating calculation methods after a change in guidance or factor updates? Options: Formal change control with approvals, Ad hoc updates with email notes, Third‑party updates applied automatically, No defined process

      Who Truly Owns Each Piece — And Who's Missing

      • Which role would you expect an auditor to ask to explain your disclosures—and could that person confidently do so with evidence today? Options: CSO / Head of Sustainability, Controller / VP Reporting, CFO, IT/Data Owner, Procurement Lead, No single accountable person, Other
      • List the named owners (by role/title) for data collection, calculation maintenance, quality review, and final sign-off; note any vacant or shared responsibilities.
      • Do you have defined escalation and sign-off matrices for unresolved data issues? Options: Yes — formal matrix, Informal / ad hoc escalation, No defined escalation path, Unsure
      • How do you currently engage suppliers to obtain Scope 3 inputs, and what response rates do you see? Options: Automated supplier portal / API, Manual supplier outreach (email/forms), Leverage procurement contracts, Rely on spend-based proxies, Minimal supplier engagement
      • Which external parties regularly support your disclosures (select all that apply)? Options: Big Four assurance firm, Boutique sustainability assurance, Data vendors (emission factors, spend models), Consultants (methodology), Software vendors, No external support

      Friction You Won't Admit In Public

      • What's the messy internal truth about why your climate disclosures feel risky, delayed, or inconsistent?
      • How often do filing or audit timelines get shifted because of data availability or control issues? Options: Always / every filing, Often, Sometimes, Rarely, Never
      • Describe a recent internal debate over boundary decisions (e.g., organizational boundaries, consolidation, or materiality) and how it was resolved.
      • Which internal teams most commonly resist changes to data collection or disclosure processes? Options: Finance, Legal/Compliance, Sustainability, Procurement / Supply Chain, IT / Security, Operations, Investor Relations, Other
      • How does investor or board pressure influence decisions you make about timing, disclosures, or assurance?

      If We Could Patch One Thing Today, What Would Move The Needle?

      • What’s the single smallest change that would significantly reduce your audit or filing risk?
      • Which of the following would likely deliver the biggest immediate lift for you? Options: Automated data connectors (ERP, bills, travel), Formalized and versioned calculation methods, Robust QA & controls with audit trail, Supplier engagement program for Scope 3, Third‑party assurance dry‑run, Targeted training for owners
      • Which of those improvements is realistic to implement within the next 3 months given current sponsorship and budget? Options: Connectors/automation, Controls & process, Methodology documentation, Supplier outreach, Assurance dry‑run, None realistic
      • What budget, executive sponsor, or internal mandate would unlock that change?
      • Who would need to sign off on a remediation backlog or systems integration to move forward quickly? Options: CFO, Controller / VP Reporting, CSO / Head of Sustainability, CIO / Head of IT, General Counsel, Procurement Head, Board / Audit Committee, Other

      What 'Good' Looks Like to Your Board and Auditor

      • If your audit committee asked what would make them feel confident about your disclosures, which single piece of evidence would reassure them most? Options: System-generated audit trail with source documents, Third‑party assurance statement, Management reconciliations and controls evidence, Formal methodology & governance documentation, All of the above
      • What level of assurance are you targeting (or being asked to target) for upcoming filings? Options: No assurance (management only), Limited assurance, Reasonable assurance, Undecided / unsure
      • By what filing or board deadline does the organization need to be 'filing-ready' with auditable records? Options: Next filing cycle (next 3 months), Within 6 months, Within 12 months, Multi‑year roadmap, Unsure
      • What would you include as minimum acceptance criteria to call a disclosure 'filing-ready'?

      Let’s Talk About Data Access and Integration — The Painful Details

      • Which single system or data feed, if unavailable, would break your ability to produce the disclosure? Options: ERP, Utility billing system, Metering/SCADA, Travel & expense platform, Procurement / SRM, Supplier portal, Master Excel workbook, Other
      • Which connectors or integrations do you already have versus which are missing? Options: ERP connector(s) in place, Utility billing integration, Travel/expense API, Procurement / spend data connector, Supplier data portal, Manual upload templates only, No connectors
      • Describe typical timelines and blockers for granting read-only access or API credentials to those systems.
      • Who controls credentials and approves data access requests in your organization? Options: IT Security, Application Owner, Finance, Sustainability Team, Procurement, Other
      • Are there legal, security or contractual constraints we should know about that limit data transfer or storage?

      Next Steps — How We Would Work Together

      • If we ran a focused 6–8 week Current State Mapping engagement with you, what single deliverable would you insist we deliver at the end?
      • Which output would you prefer first: a prioritized remediation backlog, a detailed data map with lineage, or a controls gap & audit trail readiness report? Options: Prioritized remediation backlog, Detailed data map with lineage, Controls gap & audit trail readiness report, Executive summary + combined outputs
      • Which stakeholders must be present in discovery workshops to make them productive? Options: CSO / Head of Sustainability, Controller / VP Reporting, CFO, IT / Data Owner, Procurement / Supply Chain, Legal / Compliance, External assurance rep, Other
      • What concerns or risks should we flag before starting the mapping so we can plan mitigations up front?
      • What cadence of check-ins would you prefer during the mapping phase? Options: Weekly, Bi-weekly, Twice monthly, Monthly, Ad-hoc / as-needed
  2. Outcome Discovery

    Define target frameworks, desired assurance level, filing deadlines, success signals, and provider evaluation criteria.

    Discovery Questions

    Starting Point: Tell Us About Today

    • Quick snapshot—what disclosure frameworks or rules are you already preparing for this year? Options: SEC climate rules (US), EU CSRD, ISSB / IFRS S1-S2, TCFD, CDP, Voluntary only / none yet, Other
    • Who currently owns the work to produce climate disclosures in your organization? Options: Chief Sustainability Officer, Controller / Financial Reporting, Head of ESG, Legal / Compliance, Investor Relations, Shared cross-functional team, Other
    • What are the filing or reporting deadlines we need to know about in the next 12 months?
    • How would you describe your current level of confidence that your data and narrative will withstand external assurance or audit? Options: Very confident, Somewhat confident, Unsure, Not confident
    • Who will be involved in reviewing and signing off disclosure outputs before they go external? Options: C-Suite, Controller / CFO, Audit Committee, Legal, Sustainability Team, External advisors, Other

    Why Keep Doing This the Same Way?

    • If your current process had to survive an external assurance engagement tomorrow, what would worry you most?
    • How much of your disclosure workflow is manual (spreadsheets, emailed files, manual reconciliations) versus automated? Options: Mostly manual (>75%), Mixed (40–75% manual), Mostly automated (<40% manual), Unsure / not measured
    • When data issues surface, how long does it typically take to trace, correct, and re-run calculations? Options: Days, Weeks, Months, Varies widely
    • Tell us about a recent disclosure or audit moment that felt stressful—what happened and why did it stand out?
    • Which internal stakeholders express the loudest concerns about the current approach (and what are they afraid might happen)? Options: Finance / Controller, Audit Committee, Legal, Sustainability, Investors / IR, Other

    What Would 'Audit-Ready' Actually Feel Like?

    • If an assurance provider said you were 'audit-ready' today, what tangible differences would you notice in your day-to-day work?
    • What level of assurance are you aiming for (or required to obtain) for your next filing? Options: No assurance / internal only, Limited assurance, Reasonable assurance, Undecided / need guidance
    • Which outcomes would make you declare the engagement a success three months after filing? Options: Clear audit trail & controls, Acceptable assurance opinion, On-time filing without restatements, Minimal audit queries, Improved cross-functional workflow, Other
    • What evidence or artifacts would you expect to have in place to satisfy auditors (examples: reconciliations, data lineage, calculation logs, control narratives)? Options: Data lineage documentation, Calculation engine logs, External emission factors & citations, Control testing evidence, User access & change logs, Other
    • How would a failed assurance or significant auditor query affect your business (reputational, regulatory, financial timelines)?

    Picking the Right Standard — Are We Choosing What's Safe or What's Strategic?

    • Are we pursuing a single primary framework because it's most applicable, or multiple frameworks because different stakeholders demand it? Options: Single primary framework, Multiple frameworks in parallel, Phased approach (start with one then add), Undecided / need help
    • Which frameworks must be covered for compliance versus which are prioritized for investor or market signaling? Options: Regulatory compliance (e.g., SEC, CSRD), Investor-driven (e.g., ISSB, TCFD), Voluntary reporting (e.g., CDP), Sector-specific reporting, Other
    • Are there jurisdictional conflicts or differences that could force different methodologies across regions? Options: Yes—significant differences, Yes—minor differences, No—largely aligned, Unsure / need analysis
    • What parts of the frameworks cause the most uncertainty for your team (Scope 3 boundary setting, materiality assessment, attribution methods, scenario analysis, etc.)? Options: Scope 3 emissions, Materiality assessment, Assurance requirements, Scenario analysis, Financial impacts / disclosures, Other
    • If we had to map one small pilot to a single framework to prove the approach, which framework and disclosure area would you choose?

    Who Needs To Be Comfortable Before We Move Forward?

    • If we presented a vendor that met technical requirements but required organizational change, who is most likely to push back—and why? Options: Finance / Controller, Audit Committee, Legal, IT / Data Owners, Sustainability, Procurement, Other
    • What are the top three criteria you’ll use to evaluate a provider for this program? Options: Assurance experience (Big Four backgrounds), Data integration capabilities, Calculation accuracy & transparency, Regulatory knowledge, Cost, Implementation timeline, Customer references / similar clients, Other
    • What red flags from past vendor experiences would cause you to stop a proof-of-concept mid-flight? Options: Poor data governance, Lack of audit trail, Overpromising functionality, Slow implementation, Security concerns, Undefined responsibilities, Other
    • Which internal committees or approvals must sign off before contracting (choose all that apply)? Options: Procurement, Legal, Finance / Purchasing, Audit Committee, Sustainability Leadership, C-Suite / Board, Other
    • How important is having advisors with prior assurance experience as part of the vendor team in your decision? Options: Critical, Very important, Nice to have, Not important

    Reality Check — Data, Controls, and Gaps That Break Deals

    • What systems hold the data you’ll need to produce disclosures (select all that apply)? Options: ERP / Finance systems, Utility & metering systems, Travel & expense platforms, Procurement / P2P, Manufacturing MES / SCADA, Vendor / supplier portals, Sustainability platforms, Other
    • Which datasets do you trust least today (and why)—activity data, emissions factors, spend-to‑activity mappings, supplier estimates, or internal allocations? Options: Activity/data collection, Emission factors, Spend-to-activity mappings, Supplier data, Allocation methodologies, Other
    • Do you have documented calculation methodologies and version-controlled calculation logic for key metrics? Options: Yes, fully documented, Partially documented, No, We rely on external advisors only
    • How mature are your internal control processes that would support assurance testing (access controls, change management, reconciliation routines)? Options: Mature and tested, Some controls but not tested, Minimal controls, No controls documented
    • If we asked for a small sample of raw source files and a reconciled output for a past period, how quickly could your team deliver them? Options: Within days, Within weeks, More than a month, Cannot readily produce

    If We Could Snap Our Fingers, What's the Minimum That Must Change?

    • What is the smallest viable scope that would materially reduce risk for your next filing (e.g., Scope 1+2 only, select Scope 3 categories, a single material business unit)?
    • Which platform modules would be required for that minimum scope to be successful? Options: Data connectors, Calculation engine, Control & evidence repository, Assurance advisory, Formatted disclosure templates, Dry‑run & remediation plan
    • What internal roles would you expect to own each part of the minimum scope (data provisioning, calculation review, control testing, sign-off)?
    • What would be a realistic, conservative timeline to get that minimum scope filing-ready (from kickoff to dry‑run)? Options: 4–8 weeks, 2–4 months, 4–6 months, 6+ months
    • What are absolute deal-breakers for the minimum scope (examples: no access to certain systems, unwillingness to adopt shared controls, budget caps)?

    What Would Success Look Like After Go‑Live?

    • Beyond the first filing, what ongoing capabilities would make you feel like the program is delivering long-term value? Options: Automated monthly reconciliations, Continuous control evidence capture, Quarterly assurance readiness checks, Supplier data improvement programs, Regulatory change alerts and updates, Other
    • Which KPIs would you track to prove the program is working (reduction in manual effort, time-to-close, audit queries, number of exceptions, assurance cost)? Options: Time-to-close, Manual hours saved, Number of audit findings, Assurance fees, Percent automated data flows, Other
    • How do you want the vendor to support you during the first assurance engagement (hands-on fieldwork support, control testing, liaison with auditors, training)? Options: Hands-on assurance advisory, Control testing support, Liaison with external auditors, Training for internal teams, All of the above, Other
    • What would make you confident to renew or expand the program after 12 months? Options: Clear ROI / cost savings, Clean assurance outcomes, Operational efficiency gains, Improved data quality, Strategic capability built internally, Other
    • How do you prefer to monitor ongoing issues and enhancements post-go-live (regular governance calls, shared issue tracker, monthly dashboard, quarterly business reviews)? Options: Weekly governance calls, Monthly dashboards, Shared issue tracker (ticketing), Quarterly business reviews, Ad-hoc as needed

    Next Steps — Can We Build Confidence Now?

    • If we proposed a focused pilot to demonstrate audit-readiness for one material disclosure area, how likely are you to greenlight it? Options: Ready now, Likely in next 1–2 months, Would need approvals, Not ready / need more info
    • Which commercial model would be most comfortable for a pilot-to-scale approach? Options: Fixed-fee pilot + fixed implementation, Time & materials, Subscription + implementation fee, Outcome-based / milestone payments, Undecided
    • What key legal or procurement terms would halt progress if they cannot be met (data residency, liability limits, audit rights, confidentiality)?
    • What would you like us to deliver as proof points from a 6–8 week pilot (examples: populated disclosure template, control evidence pack, sample assurance memo)? Options: Populated disclosure template, Control evidence pack, Sample assurance memo, Data connector prototypes, Implementation plan with responsibilities, Other
    • Who should we invite to the next scoping meeting so we can move from conversation to an actionable pilot plan?
  3. Solution Experience

    Walk through how our software, data architecture, and advisory services deliver auditable disclosures in your real scenarios.

    Experience Meetings

    • Solution Experience Prep: Current State Confirmation
    • Consequence & Prioritization Workshop
    • Live Solution Experience — Customer Scenario Dry‑Run
    • Assurance Readiness & Controls Review
    • Validation, Scope Alignment & Next Steps
    • Align advisory engagement steps needed to support the assurance process.
    • Introductions & objectives
    • Seller: Map how platform capabilities address each quantified consequence and circulate a short mapping memo.
    • Customer: Confirm attending stakeholders for the live experience who can validate results against the decision criteria.
    • One‑sentence future state re-affirmation
    • Prove the platform delivers the agreed future-state outcomes for the customer's scenario.
    • Validate calculation outputs, traceability, and audit artifacts with customer decision makers.
    • Identify remediation items and estimate work required to reach filing‑ready state.
    • Seller: Provide step-by-step demo artifacts (log files, calculation worksheets, audit trail exports) used in the dry‑run.
    • Customer: Confirm validation responses and sign off on which results are acceptable or require remediation.
    • Seller & Customer: Document remediation backlog with owners and SLA targets.
    • Control requirements recap
    • Confirm the control framework and evidence package meet assurance provider expectations.
    • Agree on control ownership and remediation SLAs to close dry‑run findings.
    • Customer: Provide the agreed sample datasets and grant connector/test access.
    • Seller: Deliver the audit-ready documentation package template and control mapping spreadsheet.
    • Customer: Assign control owners and confirm SLA commitments for remediation.
    • Seller & Customer: Schedule a joint call with the selected assurance provider to validate expectations.
    • Summary of validation outcomes
    • Obtain explicit customer confirmation that the Solution Experience proves the desired future state.
    • Agree final scope, measurable deliverables, and acceptance criteria for the SOW.
    • Set a clear path to Mutual Commit with owners, dates, and necessary procurement/legal actions.
    • Seller: Draft and circulate a Mutual Commit summary including scope, deliverables, acceptance criteria, and remediation backlog.
    • Customer: Provide procurement/legal input and any required contract templates or risk items to address.
    • Seller & Customer: Schedule the Mutual Commit meeting and assign pre-meeting deliverables.
    • Produce a single, crystal-clear current state sentence the team agrees on.
    • Document explicit consequences linked to the current state (cost, timing, audit risk).
    • Confirm sample scenarios and data access for the live Solution Experience.
    • Agree on success signals and validation checkpoints for the dry‑run.
    • Seller: Draft and circulate the one-sentence current state and consequence summary.
    • Seller: Prepare the dry-run script mapping each validation checkpoint to demo steps.
    • Customer: Identify primary decision maker(s) who will validate results.
    • Recap current state and evidence
    • Convert gaps into explicit, quantified consequences across cost, timing, and audit risk.
    • Align stakeholders on which outcomes are highest priority and measurable.
    • Set decision criteria the team will use to accept the solution demonstration.
    • Customer: Provide any available cost/time/risk estimates or examples of rework for prioritized areas.
    • One‑sentence current state
    • Platform control workflows demonstration
    • Live data ingest and architecture walkthrough
    • Quantify consequence
    • Confirm measurable deliverables and acceptance criteria
    • Review proposed solution scope and responsibilities
    • Calculation engine run with company methodologies
    • Audit evidence package walkthrough
    • Stakeholder impact mapping
    • Consequence snapshot
    • Prioritization exercise
    • Audit trail & controls proof
    • Assurance provider expectations & mock audit Q&A
    • Confirm scenarios & sample datasets
    • Commercial and legal pre-checks
    • Formatted disclosure output and comparability to filing requirements
    • Agree immediate next steps and timeline to Mutual Commit
    • Data access & pre-demo checklist
    • Define top 3 measurable outcomes
    • Agree control owners, SLAs, and remediation timelines
    • Validation checkpoints and success signals
    • Validation checkpoints and forced confirmations
    • Wrap up and immediate decisions
  4. Solution Scope

    Define modules (data connectors, calculation engine, assurance advisory, dry-run), responsibilities, and measurable deliverables.

    Scope Configuration

    • Configure ERP and Utility Data Connectors
    • Ingest and Normalize Energy, Fuel, and Travel Data
    • Map and Apply Emissions Factors Library
    • Calculate Scope 1 Emissions by Facility and Source
    • Calculate Scope 2 (Location‑and Market‑Based)
    • Calculate Scope 3: Purchased Goods & Services
    • Calculate Scope 3: Business Travel & Employee Commuting
    • Calculate Scope 3: Transportation & Distribution
    • Calculate Scope 3: Use of Sold Products & End‑of‑Life
    • Build Assurance‑Grade Data Lineage and Audit Trail
    • Populate SEC‑formatted Climate Disclosure Outputs
    • Generate IFRS S1/S2 and TCFD Disclosure Files
    • Assemble Assurance Evidence Package for Auditors
    • Deliver Platform Training for Finance and Sustainability Teams

    Scope Questions

    Configure ERP and Utility Data Connectors

    • Do you want us to configure connectors to your ERP(s) and utility portals? Options: Yes, No, Partially / Only utilities
    • Which source systems should be connected (select all that apply)? Options: SAP ECC / S/4HANA, Oracle E-Business Suite / Cloud, Workday (Financials), NetSuite, Custom AP/GL export, Utility provider portals (e.g., Aramark, Engie), Travel/TMC systems, Other
    • What is the preferred integration method for each system (API, SFTP, flat file, direct DB)? Please list by system.
    • How much historical data should be pulled during onboarding? Options: None (start from go-live), 12 months, 24 months, 36+ months, Custom range
    • How frequently should connectors sync (near‑real time / daily / weekly / monthly)? Options: Near-real time, Daily, Weekly, Monthly, Ad-hoc/manual
    • Are there security or network constraints (e.g., IP allowlists, VPN, data residency) we must accommodate? Options: Yes, No

    Ingest and Normalize Energy, Fuel, and Travel Data

    • Which data categories will you ingest for this scope module? Options: Electricity (kWh), Natural gas (therms/m³), Fuel (diesel, gasoline), District heating, Air travel bookings, Ground travel (mileage), Other
    • What file formats or structures do your sources provide (CSV, XML, JSON, EDI, other)? Options: CSV / Excel, XML / JSON, EDI, API payloads, PDF / scanned bills, Other
    • Do data require unit conversions, timezone normalization, or consolidation by facility? Options: Yes, No
    • How do you currently handle missing or estimated consumption data (imputation rules, averages, nulls)?
    • What minimum data quality thresholds should be applied (e.g., >90% meter coverage per facility)?
    • Who owns data validation and exception remediation (Sustainability, Finance, Facilities, IT)? Options: Sustainability, Finance / Controller, Facilities / Operations, IT / Data Team, Shared / Other

    Map and Apply Emissions Factors Library

    • Which emissions factor sources do you require (select all that apply)? Options: EPA / eGRID / US regional, Defra / UK, IPCC (GWP versions), IEA, Country / supplier-specific factors, Customer-supplied custom factors, Other
    • Do you need both market-based and location-based factor libraries maintained and versioned? Options: Yes, both, Location-based only, Market-based only, No
    • How often should factors be updated and timestamped in the library (annually, quarterly, ad-hoc)? Options: Annually, Quarterly, Ad-hoc on release, Manual approval required
    • Will you provide any custom emission factors or adjustment rules per supplier/product? Options: Yes, many, Yes, a few, No
    • What governance/approval process do you require for factor changes (who signs off)?
    • Do you need traceability from factor selection back to authoritative source documents for audit purposes? Options: Yes, No

    Calculate Scope 1 Emissions by Facility and Source

    • Do you require facility-level Scope 1 granularity (facility, site, or plant)? Options: Facility/site-level, BU/region-level only, Both
    • Which Scope 1 sources do you have (select all that apply)? Options: Stationary combustion (boilers), Mobile combustion (fleet), Fugitive emissions (refrigerants), Process emissions, On-site generation (CHP), Other
    • Are consumption data measured (metered) or estimated for each source? Options: Measured (metered), Estimated (factors/engineering), Mixed
    • How should shared/emergency equipment emissions be allocated across facilities or business units? Options: By usage hours, By headcount, By revenue, Custom allocation rule, Not allocated
    • Do you require per-source uncertainty or tolerance reporting (for assurance sampling)? Options: Yes, No
    • What acceptance criteria define a successful Scope 1 calculation (e.g., reconciles to AP/GL fuel spend within X%)?

    Calculate Scope 2 (Location‑and Market‑Based)

    • Do you require both location-based and market-based Scope 2 results published? Options: Yes, both, Location-based only, Market-based only
    • Do you have proof of attribute certificates (I-REC, GOs, RECs) and contract details for market-based calculations? Options: Yes, fully documented, Partially documented, No
    • At what granularity do you need grid factors applied (country, region, utility, substation)? Options: Country, Region/state/province, Utility/provider, Substation / meter-level, Custom
    • How should residual mix or supplier-specific factors be prioritized if multiple factor sources exist? Options: Supplier-specific preferred, Residual mix fallback, Hierarchy: supplier → regional → national, Other
    • Do you need certificate retirement tracking and reporting tied to specific consumption? Options: Yes, No
    • What reporting outputs are required for disclosures (tables, narrative statements, reconciliation notes)?

    Calculate Scope 3: Purchased Goods & Services

    • Do you plan to calculate Purchased Goods & Services from spend data, supplier LCA data, or hybrid methods? Options: Spend-based, Supplier-specific LCA, Hybrid, Not in-scope
    • Which procurement systems or datasets will be used (AP, POs, PCard, procurement catalogs)?
    • Do you have category mappings (e.g., to GHG Protocol categories) or do we need to create them? Options: Mappings exist, Mappings partial, Mappings required
    • What materiality threshold or prioritization should we apply to supplier categories (e.g., top X suppliers by spend)? Options: Top 10 suppliers, Top 20 suppliers, Top 30% by spend, Custom threshold
    • Will you engage suppliers for primary data or accept secondary/default factors? Options: Yes, supplier engagement, No, use defaults, Mix
    • What assurance evidence do you expect for Purchased Goods calculations (supplier attestations, invoices, LCA studies)?

    Calculate Scope 3: Business Travel & Employee Commuting

    • Which travel data sources are available for integration (TMC, Concur, Amadeus, expense system)? Options: Concur / SAP Concur, TMC / Travel Management Company, Expense system (e.g., Certify), HR systems (commuting surveys), Other
    • Do you want trip-level emissions (flight segment, cabin class, distance) or aggregated estimates? Options: Trip-level, Aggregated, Both
    • For commuting, do you have survey data, payroll/schedule data, or should we run a survey? Options: Survey data exists, Payroll / access card data, Need to run new survey, Estimate using defaults
    • How should business travel related to subsidiaries or affiliates be treated? Options: Include fully, Allocate by headcount, Exclude affiliates, Custom rule
    • Do you require privacy-preserving handling of employee-level travel data (masking, anonymization)? Options: Yes, No
    • What reporting cadence and drilldowns do you require for travel emissions (monthly, quarterly, by traveler, by cost center)? Options: Monthly, Quarterly, Annual, Ad-hoc

    Calculate Scope 3: Transportation & Distribution

    • What logistics data sources are available (TMS, carrier EDI, bills of lading, freight invoices)?
    • Which emission calculation method do you prefer for freight (fuel-based, distance-weighted, shipment-weight-distance)? Options: Fuel-based (carrier fuel reports), Distance × weight factors, Shipment-level factors, Carrier-specific emissions
    • Do you need to model empty miles, backhauls, and 3PL subcontracting emissions? Options: Yes, No, Partial
    • Do carriers provide shipment-level fuel/efficiency data or only invoices/spend? Options: Shipment-level fuel data, Invoices/spend only, Mixed
    • What allocation rules should be used for multi-stop shipments or consolidated freight? Options: Pro-rata by weight, Pro-rata by volume, Fixed allocation rules, Custom
    • Are contractual scopes with carriers required for market-based reporting (e.g., verified low-carbon carriers)? Options: Yes, No, Maybe

    Calculate Scope 3: Use of Sold Products & End‑of‑Life

    • Which product categories are in-scope for use-phase and end-of-life emissions?
    • Do you have product usage profiles, lifetimes, and user behavior data to model use-phase emissions? Options: Yes, detailed, Partial / representative, No, need assumptions
    • Which end-of-life scenarios should be modeled (landfill, recycling rate, incineration)? Options: Landfill, Recycling, Incineration/energy recovery, Composting / other, Multiple per product
    • Do you require product-level disclosures or aggregated portfolio-level metrics? Options: Product-level, Portfolio-level, Both
    • Will you provide primary supplier/manufacturer data for product emissions or rely on LCI databases? Options: Supplier data, LCI / secondary databases, Hybrid
    • What uncertainty allowances or sensitivity scenarios do you require for use-phase and EoL assumptions?

    Build Assurance‑Grade Data Lineage and Audit Trail

    • What level of assurance is being targeted for the engagement? Options: Limited assurance, Reasonable assurance, Not seeking assurance yet
    • What retention period is required for audit evidence and logs (e.g., 6 years)? Options: 1 year, 3 years, 6 years, Custom
    • Do you require immutable change-logs and versioning for source data, mappings, and calculated outputs? Options: Yes, No
    • Who will be the internal owner(s) responsible for maintaining the audit trail (Sustainability, Finance, Internal Audit)? Options: Sustainability, Finance / Controller, Internal Audit, IT / Data Governance, Shared
    • Are there specific control frameworks or SOC / SOX integrations required for auditors? Options: Yes, No
    • What sample sizes or transaction-level traceability will auditors require for verification (e.g., X% of facilities)?
  5. Mutual Commit

    Finalize commercial and legal terms, SLAs, assurance support commitments, and a go-live/filing-ready acceptance plan.

    Agreement Modules

    • Non-Disclosure Agreement (NDA)
    • Master Services Agreement (MSA)
    • Statement of Work (SOW)
    • Commercial Terms & Pricing Schedule
    • Purchase Order / Payment Schedule
    • Service Level Agreement (SLA)
    • Data Processing Agreement (DPA) & Security Addendum
    • Assurance Support Commitment
    • Go‑Live and Filing‑Readiness Acceptance Plan
    • Implementation Timeline & Milestones
    • Roles, Responsibilities & RACI
    • Change Order & Scope Management
    • Audit Trail & Evidence Retention Protocol
    • Escalation, Governance & Steering Committee Charter
    • Termination, Exit & Data Return Plan
    • Insurance, Indemnity & Regulatory Liability Addendum
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm data access, system owners, mapping plans, emission factors, and control requirements before build begins.

      Readiness Questions

      Quick Intro: Who’s in the Room?

      • Which of these best describes your role in the disclosure or deployment process? Options: Chief Sustainability Officer, Head of Financial Reporting / Controller, VP Finance, Corporate Secretary / Legal, IT / Data Engineering, Other
      • What is the primary regulatory or investor-driven filing you are preparing for (select the one that matters most now)? Options: SEC climate disclosure (US), EU CSRD, IFRS S1/S2 (ISSB), TCFD-aligned reporting, CDP / voluntary frameworks, Multiple / All of the above, Other
      • Roughly how many employees and/or revenue band best describes your company (this helps us size deployment assumptions)? Options: <1,000 employees, 1,000–5,000, 5,000–20,000, 20,000–100,000, >100,000, Prefer not to say
      • Who else (functions or committees) will be actively involved in data approvals and sign-offs for this project? Options: Finance / Controller, Audit Committee, Legal / Compliance, Procurement / Supply Chain, Operations / Facilities, External Assurance Provider, Other

      If You Can’t Get the Data, Nothing Else Matters

      • How confident are you that the stakeholders who control source systems will grant timely access for connector builds? Options: Very confident, Somewhat confident, Unsure, Unlikely
      • Which access patterns will be available for key systems we need to connect to? Options: Direct DB read, Secure API, SFTP / flat-file extracts, Manual spreadsheet uploads, No access yet / exploratory, Other
      • If access is restricted, what has typically blocked it in prior projects—policy, security reviews, vendor contracts, or something else? Options: Security approvals, Vendor contractual limits, Internal policy (data governance), Lack of dedicated IT resource, No prior experience with connectors, Other
      • How long does it typically take your IT/security team to approve a new data connector from request to production? Options: <2 weeks, 2–6 weeks, 6–12 weeks, 12+ weeks, Unsure
      • If granting access could be faster, what would need to change—additional resources, pre-approved security template, executive escalation, or something else?

      Where the Data Hides—and Why It’s Hard to Reach

      • How fragmented is your emissions and energy data today across systems and teams? Options: Highly centralized, Mostly centralized with a few silos, Evenly fragmented across many systems, Mostly manual spreadsheets
      • Which source systems contain the most relevant data we’ll need to map (select all that apply)? Options: ERP (SAP/Oracle), Utility billing platform, Facility management system / BMS, Travel & expense system, Fleet telematics, Procurement / P2P, Supplier submissions / portals, HR systems (headcount), Other
      • Do you already have sample extracts or data schemas from those systems that we can review? Options: Yes — full extracts available, Yes — partial extracts or schemas, No — can arrange if needed, No — not available
      • Describe the most awkward or manual step your team currently does when compiling emissions data (tell a short story).
      • How frequently do your source systems produce the data we’ll need (select all that apply)? Options: Real-time / near real-time, Daily, Weekly, Monthly, Quarterly, Ad-hoc manual extracts
      • What specific data quality problems have surfaced before—missing fields, mismatched units, duplicate records, or long reconciliation lead times? Options: Missing fields, Mismatched units, Duplicate records, Stale / outdated values, Inconsistent IDs / mappings, Other

      Do Your Numbers Tell a Courtroom‑Worthy Story?

      • How confident are you that your current data lineage, calculations, and controls would satisfy an external assurance provider? Options: Very confident, Somewhat confident, Not confident, We haven't asked an assurance provider yet
      • What formal controls and reconciliations do you already have in place for emissions and energy figures? Options: Automated reconciliation scripts, Period-end manual reconciliations, Accounting-style controls with sign-offs, No formal controls yet, Other
      • Have you previously had a third-party limited or reasonable assurance engagement on any climate or emissions data? Options: Yes — limited assurance achieved, Yes — reasonable assurance achieved, No, but we have discussed it, No and not planned
      • When you look back at the last time numbers were questioned, what root cause came up most often—data ingestion errors, methodology disagreement, supplier gaps, or governance issues? Options: Data ingestion errors, Methodology disagreement, Supplier data gaps, Governance / approvals, Other
      • What audit trail artifacts would be hardest for your team to produce quickly—source extracts, calculation logs, change history, or sign-off records? Options: Source extracts, Calculation logs, Change history / versioning, Approval sign-offs, Other
      • How would failing an assurance dry run affect your filing timeline or board confidence? Options: Minor delay, manageable, Major delay with executive escalation, Would push to next filing period, Unsure

      Emission Factors: Faith, Facts, or Fuzzy Math?

      • How confident are you that your current emission factor choices are defensible and aligned to the frameworks you’re targeting? Options: Highly confident, Somewhat confident, Not confident, We haven’t standardized factors yet
      • Which emission factor sources do you currently rely on (select all that apply)? Options: GHG Protocol, EPA / regional government factors, IETA / market data, Supplier-provided factors, Vendor commercial factors (e.g., S&P, CDP partners), Custom internal factors, Other
      • Do you version and date-stamp the emission factors used so past submissions can be reconstructed? Options: Yes, systematically, Partially — some factors are versioned, No
      • For scope 3 categories, how much of the factor selection is based on supplier data versus proxy / modelled factors? Options: Mostly supplier-provided, Mixed supplier and proxies, Mostly proxy/modelled, Not applicable / not yet assessed
      • Where have disagreements about factors or methodology caused delays or rework in the past?

      Mapping the Journey: From Source Field to Filing Line

      • Do you already have a documented field-to-disclosure mapping (source field → calculation → disclosure line)? Options: Complete and documented, Partial mapping exists, No mapping yet, We have informal notes only
      • If mapping is partial, which areas are the biggest gaps—scope 3 categories, travel data, utility normalization, or consolidation across legal entities? Options: Scope 3 categories, Travel / T&E, Utility normalization and M&V, Consolidation across entities, Other
      • Who would own maintaining the mapping and business rules after deployment? Options: Finance / Reporting, Sustainability / ESG team, IT / Data engineering, Shared ownership, Other
      • How long do you estimate it would take your team to complete mappings for your most material sources if dedicated resources were assigned? Options: <2 weeks, 2–6 weeks, 6–12 weeks, 12+ weeks, Unsure
      • Are there legal entity consolidations, carve-outs, or recent acquisitions that complicate mapping and reconciliation (briefly describe)?
      • What internal approvals are required to finalize mapping decisions (titles, committees, or cadence)?

      Acceptance, Dry‑Runs and the Moment of Truth

      • If a dry‑run surfaced material discrepancies, would you be willing to postpone filing to remediate, or must you meet the planned filing date at all costs? Options: Willing to postpone for remediation, Prefer to remediate and keep date if possible, Must meet the filing date no matter what, Unsure
      • What acceptance criteria would signal to you that the system is 'filing‑ready' (e.g., reconciliation within X%, audit trail complete, senior sign-off)?
      • Who will sign the final acceptance for go‑live and filing readiness? Options: CFO / Controller, CSO / Head of Sustainability, Audit Committee Chair, Head of Legal / Compliance, Shared sign-off, Other
      • What remediation window (days) do you need between dry‑run results and final filing to execute fixes and re-test? Options: <7 days, 7–14 days, 15–30 days, 30+ days, Unsure
      • Describe the most important improvement you’d expect to see after a successful dry‑run (accuracy, speed, auditability, confidence, or something else).

      People, Decision Rights, and Escalation Paths

      • Who are the three people we should expect to engage with regularly during deployment (name + role is ideal)?
      • Which stakeholder will be the single point of contact for urgent blocker escalation? Options: Finance lead, Sustainability lead, IT lead, Project Manager, Legal / Compliance, No single SPOC yet
      • How involved will your external auditors or assurance advisors be during the pre‑deployment phase? Options: Actively involved in testing, Advisory role only, Engaged later in process, Not engaged yet
      • When a cross‑functional conflict arises (e.g., legal vs. sustainability on method), what is your escalation path to make a final decision? Options: Executive sponsor decision, Steering committee, Audit committee approval, Workgroup consensus, Other
      • How does this project rank against other near-term priorities for those decision-makers (critical, important, nice-to-have, or low)? Options: Critical, Important, Nice-to-have, Low priority

      Practical Constraints, Timeline and Budget Reality

      • What is your target date for starting build (when connectors and config begin)? Options: Immediate / within 2 weeks, 1 month, 2–3 months, 3–6 months, No target yet
      • What internal bandwidth (FTEs or team percentage) can you realistically commit to the deployment during the first 90 days? Options: Dedicated 1+ FTEs, Partial 0.5–1 FTE equivalent, Light engagement (<0.5 FTE), No internal resources available
      • Have you allocated a budget band for implementation efforts, including advisory and connector work? Options: Yes — fully budgeted, Partially budgeted, Not yet budgeted, Budget under discussion
      • What single constraint (timeline, budget, headcount, executive attention) do you believe is most likely to slow deployment? Options: Timeline, Budget, Headcount / capacity, Executive alignment, Data access / security approvals, Other
      • If we were to propose a minimum viable deliverable that must be in place before build (e.g., signed access approvals, sample extracts, steering committee), which would you prioritize? Options: Signed access approvals, Sample data extracts, Mapping owner assignments, Steering committee charter, Other
    2. Deployment Enablement

      Schedule and execute connector builds, calculation configurations, advisory checkpoints, and the full disclosure dry run.

    3. Validation Checklist

      Verify acceptance criteria, audit trail completeness, formatted disclosure outputs, and remediation of dry-run findings.

      Validation Questions

      Getting Comfortable — Tell Us Who's in the Room

      • Which title best describes your role today? Options: Chief Sustainability Officer, Controller / Head of Finance, VP, Financial Reporting, Corporate Secretary / General Counsel, Head of Investor Relations, Head of ESG / CSR, Other (please specify)
      • Are you part of a public company, private company, or another entity type? Options: Public company, Large private company, Subsidiary of a public company, Not-for-profit / other
      • Roughly how large is your organization by revenue or market cap? Options: <$500M, $500M–$2B, $2B–$10B, >$10B, Prefer not to say
      • Which disclosure frameworks or rules are you actively preparing for? Options: SEC climate rules (US), EU CSRD / ESRS, ISSB (IFRS S1/S2), TCFD, CDP, Local/national regulations, We’re evaluating but undecided, Other (please specify)
      • Who are the key decision-makers for choosing a disclosure platform (names or roles)?
      • What is the single biggest reason you agreed to this conversation today? Options: Meet a filing deadline, Close data gaps, Prepare for assurance, Reduce manual effort, Align with board/investor expectations, Other (please specify)

      Are You Confident Your Numbers Will Hold Up?

      • If an auditor asked for the source, calculation and evidence behind any emissions number, how confident are you that your team could produce it within 48 hours? Options: Very confident, Somewhat confident, Not confident, We haven’t tried
      • Which Scopes do you currently calculate and disclose today? Options: Scope 1, Scope 2 (location-based), Scope 2 (market-based), Scope 3 — Purchased goods & services, Scope 3 — Other categories (transport, travel, waste, etc.), We do not disclose scopes yet
      • How would you describe your current internal controls over emissions data (ownership, reconciliation, approval)?
      • Have you previously obtained external assurance on any climate or emissions figures? Options: No external assurance, Limited assurance, Reasonable assurance, Internal assurance only, We’ve had audit inquiries but no formal assurance
      • When reviewers have challenged your disclosures in the past, what specific evidence or calculation issues came up most often?
      • How often do you reconcile key activity data (energy, fuel, miles, spend) to financial or operational ledgers? Options: Daily / real-time, Monthly, Quarterly, Annually, Ad-hoc / as needed

      What's the Story Behind Your Data?

      • How many different source systems (ERP, utility bills, travel, procurement, spreadsheets, meters) feed into your emissions calculations today? Options: 1–2, 3–5, 6–10, More than 10, Not sure
      • Name the top three data sources and indicate whether each connection is automated or manual.
      • Which of these sources do you currently ingest automatically? Options: ERP / GL, Utility bills, Travel management system, Procurement / P2P, Supplier reports, IoT / meters, Manual Excel uploads, None / mostly manual
      • Where do manual interventions or spreadsheets cause the most frequent errors or delays?
      • Do you have a single 'source of truth' dataset for emissions, or multiple datasets that are reconciled before reporting? Options: Single source of truth, Multiple datasets but reconciled, Multiple and not reconciled, No formal dataset
      • How confident are your IT/technical owners about building connectors and APIs for these systems? Options: Very confident — we can build quickly, Somewhat confident — will need support, Uncertain — depends on vendor, Prefer vendor-managed integrations

      Where the Clock Is Ticking

      • If a required filing deadline moved up by six weeks, what would break first in your process? Options: Data collection, Calculation reconciliation, Internal reviews / approvals, External assurance readiness, Narrative preparation / disclosure formatting, Not sure
      • List your firm’s absolute external reporting deadlines over the next 12 months (SEC filings, CSRD timelines, voluntary submissions).
      • Who has the final go/no-go authority for filing readiness? Options: CFO, Controller, Chief Sustainability Officer, Corporate Secretary, Audit Committee, CEO, Other (please specify)
      • How many full-time equivalent staff currently manage climate data and disclosures? Options: 0, 1–2, 3–5, 6–10, More than 10
      • When did you last run a full disclosure dry-run from source-data through formatted output? Options: Never, Attempted but incomplete, Within 3 months, 3–12 months ago, More than 12 months ago
      • If we agreed on a go-live date today, what would be an acceptable timeline to be filing-ready?

      How Much Risk Are You Willing to Carry?

      • Would you prioritize meeting a filing deadline with limited assurance, or delaying slightly to obtain reasonable assurance? Options: Meet deadline with limited assurance, Delay to obtain reasonable assurance, Depends on materiality and stakeholder pressure, Undecided / need guidance
      • What level of assurance is your board or audit committee currently leaning toward? Options: No assurance requested, Limited assurance, Reasonable assurance, Internal assurance only, Undecided
      • What keeps your audit committee awake at night when they think about climate disclosures?
      • Have you estimated financial or reputational exposure linked to potential disclosure errors or restatements? Options: Yes — we have a precise estimate, Yes — high-level estimate, No estimate yet, We’re in the process of evaluating
      • Which legal/compliance sign-offs are required before publishing climate disclosures? Options: Legal, Finance, Compliance, Corporate Secretary, Audit Committee, External counsel, Other (please specify)
      • How important is maintaining an immutable audit trail and version control for your team? Options: Critical, Important, Nice-to-have, Not a priority right now

      If You Could Wave a Wand

      • Imagine your first regulated filing was flawless and unchallenged — what single change made that possible?
      • Which formatted outputs are mission-critical for you (select all that must be automated)? Options: SEC Item 2 / MD&A disclosures, IFRS S1/S2 exhibits, TCFD tables, CDP questionnaire, ESEF / XBRL tagging, Custom investor templates, Other (please specify)
      • What does ‘filing-ready’ mean from your finance team’s perspective (ledger alignment, sign-offs, audit evidence)?
      • How tightly do you need emissions calculations integrated with your general ledger or financial systems? Options: Ledger-level integration required, Aggregated reconciled transfers sufficient, Manual uploads acceptable, Unsure—need vendor advice
      • If budget were no constraint, which mix would you choose: software only, advisory only, software + advisory, or software + advisory + assurance facilitation? Options: Software only, Advisory only, Software + Advisory, Software + Advisory + Assurance facilitation, Other (please specify)
      • Which measurable outcomes would convince you the solution is working (pick top three)? Options: On-time filing, External assurance achieved, Reduced manual hours, Fewer audit queries, Faster close cycle, Improved investor feedback, Lower ongoing cost

      What Would It Cost You to Do Nothing?

      • If you kept your current approach while regulations tightened for two years, what three risks would you expect to materialize?
      • Have investors, auditors, or regulators raised concerns about your climate data in the past 12 months? Options: Yes — material concerns, Yes — informational or minor, No, Not sure
      • How many hours per week does your team spend on manual collection, reconciliation, and preparing disclosure spreadsheets? Options: 0–5 hours, 6–15 hours, 16–30 hours, More than 30 hours
      • Have suppliers or third parties failed to provide required Scope 3 data, and how is that currently handled?
      • How important is reducing ongoing disclosure cost and headcount pressure to your leadership? Options: Critical — top priority, Important, Somewhat important, Low priority

      Deciding Who Sits Beside You

      • What would make a vendor feel like a true partner rather than 'just software' during your first year of engagement?
      • Which vendor evaluation criteria will carry the most weight in your decision? Options: Product functionality / templates, Audit pedigree / advisory expertise, Integration capability, Security & compliance, Price / TCO, References / case studies, Support & SLAs
      • How would you structure a pilot or proof-of-value so you could confidently evaluate us?
      • Who controls budget and procurement for this purchase, and what is your procurement timeline? Options: Finance controls budget, Procurement manages process, Sustainability owns budget, IT / Security holds approval, Other (please specify)
      • What vendor red flags would immediately disqualify a potential partner?
      • Would you want us to run a full dry-run with your auditors and key internal stakeholders present as part of onboarding? Options: Yes — essential, Maybe — conditional, No — not necessary

      A Practical Next Step — How Should We Start Together?

      • Based on what we’ve discussed, what single outcome would you like to achieve in the next 90 days?
      • Who should be on our core working group for a discovery and scoping workshop? Options: Sustainability / ESG lead, Finance / Controller, IT / Data owner, Legal / Compliance, Procurement, External audit liaison, Other (please specify)
      • What documents or artifacts should we review during discovery (e.g., current disclosures, methodology docs, supplier templates)?
      • How do you prefer to measure progress during implementation (weekly checkpoints, milestone sign-offs, steering committee)? Options: Weekly sprint checkpoints, Milestone-based sign-offs, Steering committee reviews, Ad-hoc / as needed
      • When would you be available to schedule an initial discovery workshop? Options: Within 1 week, 1–2 weeks, 2–4 weeks, More than 4 weeks
  7. Success

    Review outcomes against success signals, document learnings, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Success Review & Acceptance
    • Lessons Learned & Retrospective Workshop
    • Operational Handoff & Support Channel Setup
    • Enhancements Roadmap & Prioritization
    • Assurance & Audit Closeout

    Issues & Enhancements

    • Agree on governance checkpoints to review roadmap progress and re-prioritize if requirements or regulations change.
    • Handoff Overview
    • Establish a durable shared channel and clear protocols so operational issues and enhancement requests are tracked and responded to reliably.
    • Define SLAs and escalation paths to reduce response times and ensure appropriate visibility for critical issues.
    • Ensure platform owners have runbooks and training needed to operate the system without frequent ad-hoc support.
    • Create the shared channel and invite named owners from customer and vendor teams; post the SLA matrix and runbook links.
    • Publish an operational RACI and on-call roster with 24/7 or business-hour responsibilities as agreed.
    • Schedule knowledge transfer sessions and attach recordings to the knowledge repository.
    • Input Summary
    • Produce a dated roadmap for enhancements that balances regulatory urgency, audit risk, and available budget/effort.
    • Assign owners and acceptance criteria so each roadmap item can be executed and verified before the next filing.
    • Introductions & Meeting Objectives
    • Publish the prioritized roadmap with owners, target release windows, and acceptance criteria to the shared channel.
    • Create development tickets for the top 3 roadmap items and include test and verification tasks for assurance readiness.
    • Confirm budget approvals or PO issuance for enhancements requiring commercial commitment.
    • Assurance Findings Summary
    • Close out assurance findings with agreed remediation actions, owners, and timelines acceptable to auditors and finance.
    • Confirm that evidence retention and access meet corporate and auditor requirements for regulatory inspections.
    • Define pre-audit readiness checkpoints to minimize surprises in the next assurance engagement.
    • Record and circulate the assurance closeout memo with remediation actions and deadlines.
    • Store the certified evidence package in the agreed secure repository with access logs enabled.
    • Schedule a pre-audit readiness check-in 60 days before the next planned assurance engagement.
    • Confirm whether the delivery meets the pre-defined success signals and obtain formal acceptance or conditional acceptance.
    • Surface and assign remediation for any gaps that block acceptance with clear owners and deadlines.
    • Ensure executive alignment across sustainability, finance, legal and assurance stakeholders about the published outcome.
    • Produce a one-page acceptance record signed by designated approvers and circulate to stakeholders.
    • Create remediation tickets for any open findings with owners, target dates, and verification criteria.
    • Deliver the evidence package (audit trails, calculation outputs, narrative versions) to the corporate record repository and assurance team.
    • Set the Tone & Goals
    • Document concrete lessons and root causes that impacted disclosure quality, timeline, or assurance.
    • Create a prioritized improvement backlog with clear owners and success criteria for each item.
    • Agree on a cadence for tracking retrospective actions and verifying closure before the next filing cycle.
    • Publish the retrospective report with root causes, prioritized improvements, owners, and target dates.
    • Open tracked tickets (Jira/Asana) for the top 3 improvements and add them to the program roadmap.
    • Schedule a 30/60/90 day check-in cadence to review progress on retrospective actions.
    • Evidence Package Review
    • Prioritization Framework
    • Success Signals Recap
    • What Went Well
    • Shared Channel & Communication Protocols
    • Measured Outcomes vs Targets
    • Remediation Plan for Auditor Requests
    • SLAs, Escalation & On-call Roster
    • Estimate & Scheduling
    • What Didn't Go Well / Root Cause Analysis
    • Open Issues and Risks
    • Improvement Ideas & Prioritization
    • Control Improvements & Future Audit Readiness
    • Owner Commitments & Acceptance Criteria
    • Operational Runbooks & Knowledge Transfer
    • Documentation & Retention Compliance
    • Acceptance Decision & Sign-off
    • Recurring Cadence & Reporting
    • Action Planning & Owners
    • Governance & Funding
    • Next Steps & Immediate Actions
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