Compliance Reporting
Complex multi-party engagements where risk, regulation, and claim resolution require coordinated action.
Inside this journey
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Pre-Discovery
Align the room on decision roles, constraints, and data governance before deeper discovery.
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Stakeholder Alignment
Confirm decision roles, timeline, budget authority, and regulatory tolerance to ensure the right sponsors and approvers are engaged.
Alignment Questions
Start with the Story: Tell Us the Near-Miss
- In a sentence or two, tell us what happened with the most recent late filing or resubmission that sparked this project.
- Which filing(s) were involved in that incident?
- When was the failure first discovered relative to the filing deadline?
- Who initially flagged the issue?
- What immediate regulatory response did you receive (if any)?
- Estimate the tangible and intangible impacts this incident caused (time, cost, reputation). If unknown, describe what you suspect.
If This Keeps Happening, What Breaks First?
- Imagine the same fragility persists for the next 12 months—what outcome would be most damaging to the business or license?
- How often have you experienced filing near-misses or significant reconciliation failures in the past two years?
- How dependent is your current process on individual knowledge or a single person?
- Which parts of the filing workflow feel most fragile right now (pick all that apply)?
- Tell us about one example where a known weakness almost caused a material issue—what went wrong and why?
Who Holds the Keys — and Who’s Accountable?
- Who in your organization will ultimately sign off on filing accuracy and accept the residual risk?
- Who is sponsoring this initiative and who will hold the budget authority to approve investments?
- Which stakeholders must be engaged during discovery and mapping (select all that should be part of working sessions)?
- How would you describe your regulator’s tolerance for late filings or resubmissions today?
- Are there mandatory internal governance gates (committees, sign-offs) we should plan around? If yes, who and how often do they meet?
Where Your Data Actually Lives (and Who Owns It)
- Do you have a single authoritative source for each data domain required for filing (policies, claims, investments, GL)?
- Which source systems feed your filings today (select all that apply)?
- Who currently owns each data feed or schedule in your organization? Please list system → owner pairs or explain if ownership is ambiguous.
- Are sample datasets and historical filings readily available for testing and baseline validation?
- What common data quality issues do you regularly encounter (pick all that apply)?
Show Me the Broken Process — Step by Step
- Walk us through the current end-to-end process you follow from data extraction to regulator submission.
- Which tools are central to the current workflow (select all that apply)?
- How long does the typical filing cycle take from data pull to submission?
- When you performed the last reconciliation, where were the most time-consuming tie-outs or manual adjustments made?
- Who is responsible for maintaining the mapping logic today, and how is that change-managed or documented?
What Would 'Not Worth Another Regulator Letter' Actually Feel Like?
- If you could guarantee one outcome that would restore comfort to leadership, what would it be and why?
- Which of these measurable success signals matter most to you (pick top three)?
- What level of residual risk would be acceptable after automation (pick one)?
- How quickly do you need to see demonstrable improvement to feel confident (pilot, POC, or production timeline)?
- Who on your team needs to feel the benefits first to onboard the rest of the organization?
What Could Stop This Change From Working?
- What doubts or objections would you expect from your peers if we proposed automating mappings and validation?
- Which implementation risks worry you most (select up to three)?
- Have you experienced previous automation projects that failed or fell short? What happened and what would you change next time?
- What internal constraints would most likely block progress (budget cycles, procurement policy, resource availability, political buy-in)?
- If we surfaced a critical mapping error during validation, what remediation governance would you expect us to follow?
Proof That This Works: What Would Convince You?
- What evidence would remove the biggest barriers to adoption—what would make leadership say 'yes' today?
- Which validation artifacts would you require from a pilot or proof-of-concept (select all that apply)?
- Would running a simulated 'near-miss' using your historical data to reproduce the failure and prove prevention be persuasive?
- What SLA commitments would you need around mapping error resolution and regulatory rule updates?
- Are there internal or external auditors/regulators we should include early to accelerate acceptance of automated filings?
Decision, Timing, and Next Steps — Where Do We Go From Here?
- What is the single most important decision criterion for moving forward (e.g., cost, time-to-value, auditability, governance)?
- Who sits on the decision committee and what is the approval path for projects of this type?
- What is your realistic budget window and procurement timeline for a remediation or automation project like this?
- Which items must be confirmed before we can start a pilot (select all that apply)?
- How comfortable would you be running a parallel filing run vs. production cutover as part of acceptance testing?
- If we proposed a 30–90 day pilot that simulates your recent near-miss and delivers reconciliation artifacts, would you be willing to commit the required people and access?
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Current State Mapping
Document reporting workflows, single-point failures, recent resubmission details, and source system ownership.
Current State
Start With the Last Near‑Miss (Tell Us, in Plain Terms)
- Briefly describe the last late filing or resubmission event and its immediate outcome.
- Which filing(s) were involved?
- When was the issue discovered relative to the submission deadline?
- Who first detected the problem?
- What immediate remediation steps were taken (brief timeline and owners)?
Is One Person the Process? (Who Would Carry the Torch if They Left?)
- If the analyst who mapped the last filing were unavailable tomorrow, how confident are you that the next submission would be correct?
- List the people or roles that touch mapping, reconciliation, and final sign‑off today (names or titles).
- Which of those roles have formal runbooks, documented procedures, or recorded training?
- Are backups or delegates assigned for each critical task? If yes, how well can they perform under time pressure?
- How long would it take an informed but new engineer/analyst to run a full filing end‑to‑end from source extracts to submission?
Trace the Data — Where Does It Bend or Break?
- Which link in the data chain do you suspect causes most discrepancies: source systems, ETL/mappings, manual spreadsheets, or filing templates?
- Please list the primary source systems and their owners (system name + owner/team).
- How are mappings currently created and stored?
- How often are source extracts produced and reconciled to the GL or policy system?
- Who is the owner of mapping rules and transformation logic (title/team)?
- Can you provide a sample extract (masked) from each key system for mapping validation?
When Numbers Don't Line Up, Who Raises the Flag?
- Who in your organization has both the authority and the incentive to escalate unresolved cross‑schedule differences?
- How frequently do reconciliations surface unexplained variances that remain open at submission?
- What reconciliation tools or processes do you use (select all that apply)?
- What tolerance thresholds trigger an investigation (e.g., $ amount, percentage, or qualitative)?
- Provide an example of a recent unresolved difference: size, schedules affected, and how it was handled.
- How long does it typically take to resolve a significant reconciliation exception?
Paper Trails, Audit Trails — Where Are They Missing?
- Where in the workflow do you most often lack regulator‑grade evidence (e.g., change history, sign‑offs, version control)?
- Do mappings and transformation rules have version control and an auditable change log?
- How are sign‑offs captured (electronic approval, email, shared drive stamp)?
- Where are reconciliation worksheets and submission artifacts stored and for how long?
- How comfortable are you sharing current artifacts with a vendor during remediation (data masking/privacy concerns)?
Access, Sandboxes, and Test Data — Do You Have What Matters?
- Could a third‑party run a meaningful end‑to‑end filing test in a sandbox today using masked data?
- Which of these test artifacts are available and current?
- Are there access or legal constraints that usually delay providing extracts to vendors?
- How recent are your sample datasets relative to the current filing period?
- Who approves provisioning of test access and who executes it (title/team)?
If We Could Snap Our Fingers, What Changes Would Feel Like a Win?
- What would you notice first if your reporting process stopped producing late filings and material reconciliations?
- Which success signals matter most to your sponsor (CFO) vs. your operational teams (controllers/compliance)?
- What residual risk level would you accept after automation (e.g., % variance tolerated or number of exceptions per cycle)?
- What SLAs would be required for mapping fixes and rule updates to feel safe (time to fix, time to deploy)?
- How often would you want governance reviews once a solution is live (weekly, biweekly, monthly, quarterly)?
What Would It Take to Move Forward — Risk, Budget, and People?
- If we proposed a short pilot to eliminate the next filing near‑miss, what is the single biggest barrier to saying yes within 30 days?
- Who are the decision‑makers required to greenlight a pilot and final procurement (title/team)?
- What level of budget authority is needed to start a pilot without full CFO sign‑off?
- What internal resources would you commit to a 6–8 week pilot (mapping owner, IT support, reconciler, compliance reviewer)?
- What legal or procurement guardrails must we be aware of before exchanging sample data or running tests?
Collect a Snapshot — The Logistics We Need to Start
- If we had 48 hours to compile a snapshot of your current state, what would be the single hardest item to produce?
- Please mark which artifacts you can provide within the first week.
- Who should we contact to request each of those artifacts (name, title, email)?
- Are there scheduled blackout windows or maintenance periods that would block extracts or testing in the next 30 days?
- What format do your current extracts come in (CSV, Excel, database dump, API, other)?
- Any other red flags or constraints we should log now to avoid surprises during discovery?
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Outcome Discovery
Define target outcomes, measurable success signals (e.g., no late filings, automated reconciliations), and acceptable residual risk.
Discovery Questions
Starting From the Near‑Miss
- Walk me through the late filing event in your words—who noticed it, what fractured, and what felt most urgent in that moment?
- Which specific report(s) were affected?
- When did the failure surface relative to your submission deadline?
- How was the error discovered (automated validation, regulator communication, internal review, or an analyst flag)?
- Who owned the workstream that produced the filing the week of the incident (role/title, not name)?
- What immediate remediation steps did you take and who executed them?
Are We Just Hopeful About ‘Not Breaking’?
- How many filing-critical tasks today rely on a single individual or undocumented spreadsheet logic?
- Who would be able to recreate the full mapping, reconciliation, and submission end‑to‑end if the current owner left tomorrow?
- How complete is your documentation for mapping rules, acceptance tests, and exception handling?
- Tell me about a recent situation where a manual mapping or tie‑out was questioned—what happened and how long did resolution take?
- When you consider turnover, how worried are you—emotionally and operationally—about losing institutional knowledge tied to filings?
How Bad Could This Get (If We Keep Doing the Same Things)?
- If a material misstatement reached a regulator, what is the worst realistic outcome you fear?
- Have you received regulator letters or escalations for reporting issues in the past five years? Describe what changed after that engagement.
- Who in your senior leadership gets briefed when a filing error occurs, and what does that report typically look like?
- How long would it take to assemble the evidence a regulator might request (reconciliations, audit trail, change logs)?
- What have you personally felt during these escalations—anger, embarrassment, urgency, relief—what sticks with you?
If This Work Never Failed Again—What Would That Look Like?
- If filings were consistently accurate and on time, what would immediately change for your team, executive leadership, and regulators?
- Which of these outcome signals would convince you and your board that the problem is solved?
- What specific tolerance for residual risk would your CFO accept (e.g., frequency or magnitude of allowable mapping errors)?
- Which KPIs would you want tracked monthly vs quarterly to prove improvements?
- Imagine we ran a pilot and your filing errors dropped by 80%—what would you celebrate internally and externally?
Who’s Actually Driving the Decision (and Who Needs Convincing)?
- If we asked you to assemble a decision pack for this initiative, who are the must‑have approvers and influencers?
- Who signs off on budget for compliance tooling versus operational headcount changes?
- Which stakeholder typically raises the final risk appetite questions—regulatory vs financial tradeoffs?
- How do you prefer vendors to demonstrate value during evaluation—data-driven pilot, connector proof, or reference calls?
- Who will be the day‑to‑day owner of mappings, validations, and exceptions after deployment?
- What concerns do each of those decision‑makers raise most often (cost, control, auditability, time to value)?
The Hard Truth About Your Data Sources
- Which source systems feed your regulatory reports and which cause the most reconciliation headaches?
- Do you currently have direct access (technical credentials) to those systems for automated extraction?
- How often are reconciliations between source systems performed today?
- Tell me about a recurring data quality issue (missing GL mappings, stale hierarchies, mismatched identifiers)—how often does it reappear?
- Are sample datasets and representative prior‑period filings available for a pilot? If not, what’s blocking access?
- Who is the technical owner for each system and how quickly could they support connector setup?
What Would Satisfy a Regulator (and Your Audit Team)?
- If a regulator asked for proof that data mappings are accurate, what evidence would you want to present?
- How important is having a timestamped, immutable audit trail for each submission on a scale of 1–5?
- Have auditors ever flagged your filing documentation? If so, what specific gaps were noted and have they been closed?
- What sample evidence would your compliance team expect from a vendor to include in an audit binder?
- How quickly would you need to produce regulator‑requested evidence during an inquiry?
What Trade‑offs Are You Willing to Accept?
- How much residual mapping error (count or dollar magnitude) would your organization deem tolerable during steady state?
- If faster time‑to‑file required some manual exceptions in month one, how many exceptions would be acceptable during a transition pilot?
- What SLA would you require for mapping error resolution once an issue is identified?
- Would you accept phased rollouts by report type (start with non‑material schedules) or require an all‑in approach?
- What budget range feel realistic for solving this problem in the next 12 months (ballpark)?
Next Steps That Move the Needle
- If we proposed a focused pilot that prevented your last near‑miss, what would be the single most important outcome you’d want from that pilot?
- What is your target decision timeline for approving a remediation project (30/60/90/180 days)?
- Which datasets and prior filings can we use immediately for a proof of concept, and who signs the access request?
- What acceptance criteria would you require to call the pilot successful (specific metrics or pass/fail tests)?
- Who should attend the kickoff to ensure we can deliver a pilot within your timeline?
- How would you prefer we share progress during the pilot—weekly checkpoints, executive updates, or a living dashboard?
- What would cause you to pause or cancel a pilot early—lack of access, poor data quality, budget pushback, or something else?
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Solution Experience
Simulate the customer’s near-miss using their data to show how automated mappings, validations, and filings prevent the same failure modes.
Experience Meetings
- Pre-Simulation Alignment
- Data Ingestion & Mapping Run (Reproduce and Automate)
- Simulation Results Review — Proof & Tie-back
- Exception Resolution Workshop (Root Cause to Remediation)
- Executive Outcome Validation & Mutual Commit
- Mapping owners to implement agreed rule changes and document them in the mapping registry.
- Prove that the future state is achieved for the scoped filing(s) with measurable evidence.
- Secure customer validation that automated outputs map to business intent and that critical failure modes are addressed.
- Agree on the KPI improvements and produce a short ROI/risk-avoidance statement for executives.
- Seller to provide a side-by-side report (manual vs automated) with drill-to-source links for each variance flagged.
- Customer to mark any automated mapping decisions that require business-rule refinement.
- Seller and Customer to jointly produce an impact summary (time/risk/cost) for the CFO and steering committee.
- Prioritize Top Exceptions
- Assign owners and timelines to remediate the top exceptions from the simulation.
- Convert each prioritized exception into a documented mapping/rule change with acceptance tests.
- Agree on a clear re-run plan and pass criteria to validate remediation.
- Introductions & Meeting Objectives
- Data team to correct or annotate source data issues identified as root causes.
- Seller to schedule and perform the re-run and deliver the updated exceptions report.
- Compliance to prepare a short regulator-facing note if remediation changes affect previously filed numbers.
- One-Sentence Recap: Current State & Consequence
- Executive stakeholders confirm that the simulation proves the future state and accept the KPIs.
- Agreement on SLAs, governance cadence, and ownership for ongoing mapping and rule updates.
- Mutual commit to proceed to Solution Scope with an agreed timeline and list of deliverables.
- Seller to produce a one-page Executive Validation Memo summarizing outcomes, KPIs, and recommended scope.
- Customer to provide formal sign-off or list of remaining concerns within 5 business days.
- Commercial/Legal to draft next-step commercial terms and an implementation timeline for the Solution Scope kickoff.
- One clear, agreed current state statement that all participants endorse.
- Explicit and quantified statement of consequence from the near-miss.
- One-sentence future state and 3 measurable success signals to be proven by the simulation.
- Confirmed simulation scope, data readiness, and owner list so the run can proceed without ambiguity.
- Customer to deliver the original late filing, resubmission artifacts, reconciliation logs, and representative extracts (masked if required).
- Customer IT to grant read-only access to sample source extracts and schedule a secure file transfer window.
- Customer to nominate mapping owners and subject-matter experts who will join the simulation runs.
- Seller to produce a one-page simulation plan with success criteria and run schedule within 24 hours.
- Environment & Data Load Confirmation
- Clearly reproduce the original near-miss so everyone accepts the baseline diagnosis.
- Show automated mapping lineage and prove where automation eliminates single-point manual errors.
- Produce a concrete exceptions and reconciliation report from the automated run to feed remediation.
- Surface any gaps in provided data or access that would block full automation.
- Seller to deliver the automated mapping lineage report and validation exception log from the run.
- Customer mapping owners to confirm whether automated mapping decisions match business rules or require adjustments.
- IT to resolve any missing fields or connectivity issues identified during ingestion.
- Schedule follow-up Exception Resolution Workshop with named owners for top exceptions.
- Executive Summary of Findings
- Current State Statement (Diagnosis)
- Proof: Demonstrated Outcomes & Metrics
- Root Cause Mapping & Ownership
- Side-by-Side Filing Comparison
- Baseline: Reproduce the Near-Miss
- Consequence Quantification
- Define Remediation Actions
- Demonstrate Prevention of Failure Modes
- Acceptance Criteria & KPIs
- Automated Mapping Execution
- Plan Re-run Criteria & Schedule
- Validation Engine Run & Cross-Schedule Tie-outs
- Define Future State & Success Signals
- Commercial/Deployment Next Steps
- Quantify Impact: Risk, Time, and Cost
- Sign-off & Communication Plan
- Immediate Observations & First-Pass Comparison
- Q&A and Executive Sign-off
- Validation & Customer Confirmation
- Scope & Success Criteria for the Simulation
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Solution Scope
Define modules, connectors, validation rules, responsibilities, and acceptance tests required to achieve the outcomes.
Scope Configuration
- Configure Source System Connectors (Policy, GL, Claims, Investments)
- Extract and Normalize Source Data to Filing Schemas
- Map and Transform Data into Regulatory Templates
- Automate Schedule P Loss Triangle Generation
- Prepare Statutory Annual and Quarterly Statements
- Automate Risk-Based Capital (RBC) Calculations
- Generate and Validate Call Reports
- Run Cross-Schedule Consistency Validations
- Submit Filings Electronically to Regulators
- Exception Management Workflows with Audit Trail
- Reconciliation and Tie-Out Automation to General Ledger
- Apply Regulatory Rule Updates to Filing Logic
- Train Staff on Exception Handling Workflows
Scope Questions
Configure Source System Connectors (Policy, GL, Claims, Investments)
- Which source systems must be connected for this engagement?
- For each system above, what access methods are available or preferred?
- Are connection credentials, network access (VPN, IP allowlist), and ATO approvals in place for each source?
- What is the expected extraction cadence per system (how often must data be pulled)?
- Are there encryption, retention, or segmentation requirements for connector data beyond standard controls?
- Who is the technical and business owner for each source system (name / role / contact)?
Extract and Normalize Source Data to Filing Schemas
- Which filing schemas or templates must normalized data feed into?
- What are the expected data volumes (rows/records) to be processed per run?
- What are the common data quality issues you experience (missing fields, inconsistent codes, duplicates)?
- Do you have a canonical data model or field-level mapping documentation already?
- Do you require field-level lineage and provenance tracking (who/when transformed a field)?
- What acceptance criteria must normalized datasets meet (e.g., null thresholds, field match rates)?
Map and Transform Data into Regulatory Templates
- Which internal groups will own mapping decisions and approvals?
- Are mapping rules and transformations already documented (formulae, aggregations, business rules)?
- Do mappings require complex calculations (multi-step derivations, FX conversions, proprietary algorithms)?
- How frequently do mapping rules change and what is the approval process for updates?
- What acceptance tests must be defined for mappings (reconciles to GL, row counts, tolerance thresholds)?
- Who is authorized to request ad-hoc mapping overrides and how should overrides be documented?
Automate Schedule P Loss Triangle Generation
- Do you currently produce Schedule P loss triangles and how (manual spreadsheets, actuarial tools, other)?
- Which lines of business, accident years, and development periods must be included?
- Is historical claims data available for the full development period required?
- Do actuarial adjustments, development factors, or proprietary smoothing algorithms need to be applied?
- What acceptance criteria or tolerances should triangle generations meet (variance vs prior submissions)?
- How frequently must triangles be regenerated and validated (monthly, quarterly, pre-submission)?
Prepare Statutory Annual and Quarterly Statements
- Which statutory statements and schedules are in scope for preparation?
- Do you have prior submissions (X years) to validate automated outputs against?
- Are there required manual adjustments or overrides that must be preserved and auditable?
- What is the required turnaround time from data cut to statement readiness?
- Who is responsible for final sign-off and filing submission within your organization (roles)?
- Are there cross-schedule tie-outs or inter-schedule rules that must be enforced automatically?
Automate Risk-Based Capital (RBC) Calculations
- Which RBC formula/version or state adjustments must be implemented?
- Are RBC inputs fully available from source systems or do some inputs require manual entry?
- Do you require scenario testing, sensitivity analysis, or stress testing functionality for RBC?
- What tolerance thresholds or escalation rules should trigger review for RBC variances?
- Is an auditable explanation required for each adjustment or deviation in the RBC calculation?
- How often must RBC be calculated and reported (quarterly, annually, ad-hoc)?
Generate and Validate Call Reports
- Which call report frameworks are required (e.g., FFIEC Call Report, state-level variants)?
- Are call report mapping rules and schedule definitions documented?
- What regulator-specific formatting is required (XBRL, fixed-width CSV, PDF upload)?
- Who is the sign-off owner for call report validation and electronic submission?
- Do you require external benchmarking or validation against published industry data?
- What are the cut-off times and revision policies for call report data?
Run Cross-Schedule Consistency Validations
- Which schedules must be cross-validated against one another?
- What reconciliation tolerances apply across schedules (exact match, small variance, custom thresholds)?
- How often should cross-schedule validations run (per build, nightly, pre-submission)?
- Who should receive validation exception reports and how (email, dashboard, ticketing)?
- Should exception remediation automatically create tickets or assign tasks?
- Are historical validation results required to be retained for audit and trend analysis?
Submit Filings Electronically to Regulators
- Which regulators and agencies will the platform submit to on your behalf?
- What submission channels are required for each regulator (direct API, portal upload, SFTP)?
- Do you already have credentials and onboarding completed for targeted e-filing systems?
- Are there pre-submission approvals or multi-signature workflows required before filing?
- Do filings require digital signatures, encryption, or storage of submission receipts for audit?
- What is the expected handling of submission rejections or regulator edit responses?
Exception Management Workflows with Audit Trail
- Which exception types must be supported (mapping errors, missing data, validation failures, submission rejections)?
- Who are the designated owners and responders for exception categories?
- What SLA targets should apply for exception acknowledgment and resolution?
- Do you need integrations with existing ticketing systems (Jira, ServiceNow, other)?
- Should exception handling actions be auditable and tamper-proof (who changed what and when)?
- Should remediation steps auto-suggest fixes (based on past resolutions) or remain manual?
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Mutual Commit
Finalize commercial and legal terms, acceptance criteria, governance cadence, and SLAs for mapping errors and rule updates.
Agreement Modules
- Non-Disclosure Agreement (NDA)
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Service Level Agreement (SLA)
- Data Processing Agreement (DPA)
- Commercial Terms & Pricing Schedule
- Acceptance Criteria & Test Plan
- Governance & Cadence Agreement
- Change Control & Regulatory Update Process
- Roles & Responsibilities (RACI)
- Audit, Evidence & Regulator Access
- Training & Knowledge Transfer Plan
- Termination & Transition / Exit Plan
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Deployment
Operationalize rollout with readiness checks, controlled mapping validation, and staged filing verification.
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Pre-Deployment Readiness
Confirm source system access, sample datasets, mapping owners, test environments, and rollback plans before execution.
Readiness Questions
Start: Tell Me About the Filing That Kept You Up Last Night
- Briefly describe the incident that led to the late or corrected filing (what happened, which filing, and when).
- Who first raised the issue and how was the problem discovered?
- What immediate consequences followed the resubmission (e.g., regulator letter, reputational impact, internal investigation)?
- How would you describe how that moment felt for your team and leadership?
- On a scale, how confident are you today that the same failure could be prevented next quarter?
Who’s Holding the Keys?
- Imagine your primary reporting analyst suddenly couldn’t perform their duties—what breaks first?
- List the people or roles who currently sign off on statutory and SEC filings.
- Which single role or team would you say is the single point of failure for filing accuracy?
- Who in your organization has final budget authority to approve investments in reporting automation?
- How often do you have cross-functional governance meetings that include compliance, finance, and IT to discuss reporting risk?
Where the Data Lives and How Fragile It Is
- If your source systems stopped sharing data reliably, could you still produce an accurate filing on time?
- Which source systems feed your regulatory filings? Select all that apply and add others in the next question.
- Describe any recent system changes, migrations, or conversions that impacted reporting (include timing and teams involved).
- Which datasets can you produce as samples for testing today (choose all available)?
- How well documented is your data lineage and field-level ownership for the fields that feed filings?
When Processes Break, How Fast Do You Know?
- How often do mapping or reconciliation errors surface after you’ve already submitted a filing?
- How long does it typically take from detection to root-cause identification for a material reporting error?
- What monitoring or validation checks do you have in place today (automated reconciliation, manual tie-outs, peer review, none)?
- When an exception is raised during preparation, who owns remediation and how is it tracked?
- Tell us about a near-miss you had (what failed, how it was caught, and what changed after).
What Success Actually Looks Like
- If a future filing passed regulator scrutiny with zero follow-up, what would have changed in your process?
- Which measurable success signals matter most to you? Pick up to three.
- What level of residual risk is acceptable for automated mappings and transformations?
- How would you measure ROI or success after a deployment (time saved, error reduction, audit findings, cost avoidance)?
- Who needs to see the success dashboards and how often would they review them?
What Would Stop You From Making That Change?
- Why might leadership quietly choose to accept the current risk rather than invest in automation?
- Which of these barriers are most relevant to you today? Select all that apply.
- Have prior attempts to change reporting tooling failed or stalled? Tell us what happened and why.
- What internal compliance or audit requirements would we need to satisfy before you could run automated filings?
- How concerned are you about mid-cycle regulatory rule changes and the platform’s ability to adapt quickly?
How We’d Prove It Works — The Acceptance Tests
- What concrete tests would convince you automation is safe to push to production for regulator submission?
- Which of these acceptance criteria are mandatory for signoff? Select all that apply.
- Who must approve the acceptance results before we run parallel or live filings?
- What sample size and date ranges would you expect in validation runs to feel confident (e.g., full-quarter, rolling 2 quarters)?
- Describe the rollback or remediation plan you’d require if an automated run produced unexpected variances.
Decision and Budget: Who Says Yes and When?
- What would make the CFO release budget now rather than later—what is the tipping point?
- Which stakeholders must be engaged in the procurement decision? Select all that apply.
- What is your expected procurement timeline from evaluation to contract signature?
- Estimate the budget range you’d consider for a solution that materially reduces filing risk.
- Do you have preferred contracting or security requirements (e.g., SOC2, data residency) we should know about?
Timeline, Risk, and Critical Dates
- If our goal is to eliminate late filings next quarter, what is the absolute latest start date for work to begin?
- List your upcoming filing and blackout dates that we must avoid for heavy integration work.
- How much lead time do you need for testing before a live submission (select one)?
- Are there any seasonal or cyclical activities (e.g., year-end close, audits) that would prevent deployment during parts of the year?
- What is your tolerance for parallel runs (running both manual and automated processes) before full cutover?
People, Training, and Organizational Change
- What roles will need training to operate and govern the automated process (choose all that apply)?
- How do you prefer training delivered—hands-on workshops, recorded modules, playbooks, or train-the-trainer?
- What internal documentation or runbooks exist today for exception workflows and acceptance testing?
- How much of the current team’s time should be preserved for knowledge transfer during implementation?
- What would make your team feel confident that automation won’t erode institutional knowledge?
Next Steps and Comfort Items
- What would make you sleep better the night before our first integration—what assurances do you need?
- Would you be willing to run a small pilot or proof-of-value using recent filing data?
- What evidence or deliverables would you expect from a pilot to recommend moving to production?
- Who should be our primary contact for scheduling technical discovery and providing sample datasets?
- When would you like us to follow up with a proposed scope and timeline?
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Deployment Enablement
Build and validate mappings, run reconciliation tests, train staff on exception workflows, and schedule parallel filing runs.
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Validation Checklist
Verify acceptance runs against prior filings, cross-schedule consistency, audit trails, and regulator-facing evidence.
Validation Questions
Start Here: The One Filing That Changed Everything
- Briefly describe the late filing and resubmission that prompted this project—who noticed it and when?
- How long did it take from discovery to remediation (root cause identified and filing resubmitted)?
- Which regulator(s) followed up with a letter or inquiry after the resubmission?
- Which internal teams were most involved in the remediation effort?
- When you think back to executive reactions (CFO, CCO, Board), what was the dominant tone or fear that came up?
How Close Are You to a Formal Examination?
- If the regulator dug deeper tomorrow, what would they most likely find about your filing controls and repeatability?
- How many near-miss filing events (late filings, resubmissions, material corrections) have you experienced in the last 24 months?
- Which failure types most commonly cause your near-misses?
- Who today acts as the single-point-of-failure for filing assembly or final edits (role/title)?
- Before submission, how often do you run acceptance checks that compare to prior filings for consistency?
Where the Data Actually Lives — and Where It Breaks
- Do your source systems act like aligned truths or a set of competing single-source narratives?
- Which source systems feed your regulatory filings (select all that apply)?
- What vendors or versions are in scope for those systems (examples: Guidewire, SAP, BlackRock Aladdin)?
- Who owns each source system and who currently owns the mappings to the filing templates (list names or roles)?
- How frequently do extracts and reconciliations run ahead of filing windows?
Who Holds the Keys — Accountability, Authority, and Politics
- When accuracy and timing conflict, who would win the argument internally—who signs the filing despite concerns?
- Who has final budget authority for remediation or automation projects like this?
- What level of regulatory tolerance would trigger formal escalation for you (examples: any late filing, a material misstatement, repeated errors)?
- How are disputes between Compliance and Operations resolved during filing preparation and sign-off?
- Which function should be the executive sponsor for an automation effort—Compliance, Controller, CIO, or another party?
What Winning Looks Like — Regulator-Defensible Outcomes
- If you could present one undeniable proof to a regulator that your process is reliable, what would that single proof be?
- Which success signals are highest priority for you (pick up to three)?
- What residual risk threshold is acceptable for automated mappings and reconciliations (your tolerance for exceptions left to manual review)?
- What acceptance tests or reconciliation checks do you consider non-negotiable before allowing production filings?
- Which roles must sign the go-live acceptance certificate for filings (select all that apply)?
What’s Really Stopping Automation — Tech, People, or Politics?
- When you look at past attempts to fix this, what single reason best explains why they stalled?
- Which of these barriers worry you most about adopting a vendor automation platform?
- Have you run a pilot or POC for reporting automation before, and if so, what specifically prevented it from scaling?
- How do you currently manage mapping updates when chart of accounts or source feeds change?
- What vendor support model would give you confidence—fully managed, co-managed, tooling + ticketing, or self-service?
Data, Samples, and Validation — Can We Run The Tests You Trust?
- If asked for the minimum dataset that proves end-to-end mapping and reconciliation, could you provide it today?
- Do you have anonymized sample datasets and prior filings available for validation runs?
- What formats are your prior filings and data extracts in (pick all that apply)?
- Who controls access to test data and who must approve anonymization or sharing with a vendor?
- How quickly could you assemble the minimum POC dataset if we agreed scope today?
Proof, Controls, and Audit Trails — What Regulators Will Want to See
- Would your auditors and regulator accept automated reconciliations and mapping lineage without human-run exception logs?
- Which audit artifacts are mandatory for you after a filing (select all that apply)?
- What retention period do you require for filing evidence and audit trails?
- How mature is your current governance cadence for filings (defined owners, frequency, escalation paths)?
- Who in your organization would own ongoing SLA monitoring for mapping errors and rule updates?
Decision Moment — Timing, Budget, and Next Steps
- If avoiding regulator escalation is the objective, what is the earliest acceptable go-live window you would consider?
- What procurement path do you prefer for a first-phase engagement?
- What budget range do you expect for an initial phase that includes mapping, validation, and a production pilot?
- What is your realistic timeline to final budget approval for this type of remediation project?
- Who are the additional stakeholders or approval authorities we should include in scoping conversations?
Ready to Change — Or Hope It Won’t Happen Again?
- Are you prepared to adopt a different process now, or do you expect to deploy only tactical fixes and hope the problem doesn’t recur?
- How comfortable would you be proactively sharing our validation evidence with the regulator to demonstrate remediation?
- What are the top three concerns we must address to earn your team’s confidence in a vendor solution?
- Would you like us to prepare a targeted POC plan that includes required samples, acceptance tests, and a proposed timeline?
- What would be the best next step and who should we invite to the kickoff conversation from your side?
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Success
Review outcomes against success signals, capture lessons learned, and maintain a shared channel for issues and enhancements.
Success Reviews
- Success Review — Outcomes vs Success Signals
- Lessons Learned Retrospective
- Operational Handoff & Governance Cadence
- Enhancements Prioritization & Roadmap Workshop
- Shared Channel Setup & Issue Triage Training
Issues & Enhancements
- Publish the prioritized roadmap and notify stakeholders of expected delivery windows.
- Schedule recurring governance meetings and invite stakeholders.
- Configure KPI dashboard and establish monthly report distribution.
- Document escalation flows and distribute contact list for emergency response.
- Backlog Overview by Category
- Agree on a prioritized backlog for the next 1-3 releases with regulatory items front-loaded.
- Assign owners and timelines for high-priority items.
- Define acceptance criteria so delivered enhancements can be validated against outcomes.
- Balance tactical fixes with strategic improvements in the roadmap.
- Welcome & Objectives
- Create implementation tickets with acceptance criteria and assign engineering/product owners.
- Schedule validation windows and resources for testing each deliverable.
- Flag any regulator-critical items for accelerated path and executive visibility.
- Channel Purpose & Governance
- Provision the shared channel and confirm access for all operational stakeholders.
- Ensure everyone understands how to log and triage issues with the correct metadata.
- Agree on severity definitions and corresponding SLAs for issues and enhancements.
- Validate the triage workflow through a live demonstration.
- Provision the channel (Slack/Teams/Jira) and invite the RACI list.
- Publish channel usage guide, severity taxonomy, and ticket templates.
- Create initial sample tickets and assign triage owners for a 30-day pilot.
- Schedule a 30-day review to evaluate channel effectiveness and adjust SLAs.
- Confirm which success signals have been met and which require remediation.
- Agree on formal acceptance or a remediation plan with owners and timelines.
- Ensure regulator-facing evidence and audit trail materials are complete for submission.
- Capture open risks and decide whether to escalate to executive sponsors.
- Document remediation plan for each unmet success signal with owner and due date.
- Deliver a signed acceptance statement or conditional-acceptance with closure criteria.
- Publish a one-page outcomes summary and evidence pack for the compliance team and execs.
- Create or update tickets in the shared channel for each open item and tag triage owner.
- Recap Timeline & Key Events
- Agree on the primary root causes and their corrective actions.
- Define concrete process, documentation, and training changes to prevent recurrence.
- Set measurable targets and owners for each improvement item.
- Decide which items are immediate fixes vs medium-term enhancements.
- Update filing runbooks and exception-handling SOPs to reflect agreed changes.
- Create training plan and schedule cross-training sessions for mapping owners.
- Add targeted validation tests to acceptance suite and assign owners to implement.
- Log retrospective findings in the shared channel and link to remediation tickets.
- Confirm Operational Roles & RACI
- Finalize operational RACI and owners for ongoing activities.
- Agree on governance meeting cadence and standard reporting package.
- Set SLA targets and escalation triggers for compliance-impacting issues.
- Ensure audit and regulator evidence storage meets retention needs.
- Publish a governance charter with RACI and cadence details.
- Reconfirm Success Signals
- Channel Structure & Taxonomy
- Define Governance Cadence & Agenda
- Root Cause Analysis
- Critical Compliance Items Review
- Severity & SLA Definitions
- Escalation Paths & SLAs
- Outcome Presentation (Metrics)
- What Went Well / What Didn't
- Prioritization Exercise
- Reporting & KPI Dashboard
- Release Plan & Resource Alignment
- Triage Workflow Demo
- Proposed Process & Control Changes
- Deviations & Root Observations