Security Orchestration
High scrutiny and high blast radius; proof and governance matter.
Inside this journey
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Customer Discovery
Align on recent incidents, SOC tool inventory, analyst workflows, stakeholders, and measurable success signals (e.g., playbook run <2 minutes).
Discovery Questions
Quick Snapshot: What's Most Pressing Right Now?
- In one sentence, what incident or staffing pressure brought you to consider orchestration now?
- How many incidents in the last 30 days took longer than one hour to contain?
- Which two playbook scenarios would you prioritize for a proof-of-value (pick up to two)?
- Describe a specific recent incident (within 30 days) we could replay for evaluation — what happened, which tools were involved, and how long did containment take?
- Who is your internal champion and the day-to-day owner for this evaluation (name, role, contact), and who needs to be kept in the loop?
Why Did This Take Eight Hours?
- When you replay the worst-case incident, which manual handoffs or copy-paste tasks drained the most time and why?
- Which consoles or systems did analysts repeatedly copy information between during that event?
- On average, how long does an analyst spend per typical case today (minutes)?
- Which steps in your current triage workflow are reliably repeatable versus those that require human judgment?
- How did the team feel during and after that incident—burnout, frustration, relief? Share a brief example of impact on morale or retention.
If Automation Did Half the Work, What Would That Free Up?
- Imagine 30% of your daily alerts were safely handled by playbooks — what would your team do with the reclaimed time?
- Which measurable success signals will convince you the platform is delivering value?
- For phishing triage and endpoint isolation specifically, what time-to-complete would you consider a win?
- How will you quantify ROI for this evaluation—analyst hours, FTEs avoided, reduced incident costs, SLA improvements, or something else?
- Who must approve the success metrics and final evaluation sign-off (roles)?
Are You Worried Automation Could Make Things Worse?
- What specific scenarios or past experiences make you nervous about automating response actions in production?
- Which response actions would you consider safe to automate right away, and which must remain advisory until proven?
- Have you ever had a misconfiguration or automation error cause an unsafe action? If so, what happened and how did you recover?
- Do you have rollback controls or emergency stop processes for automated actions today?
- What logging, audit trail, and retention requirements must any automation solution meet for compliance or post-incident review?
- Who on your team is authorized to halt an automated run mid-flight, and how should that be accessible during an incident?
Toolbelt Inventory — What's Actually in the Room?
- If I listed every tool your analysts touch, what critical system might I miss?
- Select the tools and vendors you currently run in your SOC (pick all that apply).
- Are any critical systems on-premise or air-gapped in a way that will complicate integration?
- For the connectors we’ll need during evaluation, what is the current state of credentials/service accounts?
- How strict is your approval/change-control process for adding new connectors or playbooks (expected lead time)?
Who's in the Room When Things Change?
- If a playbook could quarantine an endpoint or disable an account, who must be consulted or sign off before that action runs?
- Map the stakeholders for adoption — who approves, who operates day-to-day, and who audits or reviews results (select all that apply).
- Which business units, services, or applications would be high-risk if an automated action misfired?
- Do you use external partners (MSSPs or MSPs) who will require access, shared visibility, or different modes of control?
- How do you prefer advisory vs automated modes be documented and approved for rollout (process or artifact)?
- What training, runbooks, or shadowing would make your analysts comfortable enabling auto-response?
Ready for a Small Win — What's Our First Test?
- Which single real incident from the last 30 days would you most want us to automate end-to-end during evaluation, and why is that case meaningful?
- Can you provide a sanitized incident packet for that case (logs, IOC list, timeline)?
- What blackout windows or operational constraints should we avoid when running tests in your environment?
- Immediately after a test run, how will you judge success—time savings, no service impact, analyst confidence, or something else?
- Who should attend the live demo and the post-run retrospective (roles and names if known)?
- Realistically, how soon can you make a test/sandbox environment available or provide scoped production access for evaluation?
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Solution Experience
Build and run two customer-specific playbook scenarios (phishing triage and endpoint isolation) against recent incidents to confirm outcome and time-to-complete gains.
Experience Sessions
- Pre-Workshop: Incident Intake & Current-State Confirmation
- Playbook Build Workshop — Phishing Triage (Sandbox)
- Playbook Build Workshop — Endpoint Isolation (Sandbox)
- Run & Measurement Session — Execute Playbooks on Recent Incidents
- Safety Review, Acceptance & Handoff to Deployment
- Produce a first-cut measurement of analyst hours reclaimed and projected weekly ROI for the monitored alert types.
- Customer to provide any missing email samples or enrichment sources identified during the build.
- Customer SOC lead to review and sign off on the defined acceptance criteria and safety gates for phishing.
- Both parties to schedule the validation run and measurement session.
- Reaffirm Current State & Desired Future Outcome
- Deliver a tested endpoint isolation playbook in sandbox with documented rollback and safety controls.
- Verify the playbook's execution time and confirm it meets the defined acceptance criteria in controlled tests.
- Identify any operational blockers (EDR permissions, business-critical host lists) to address before validation on real incidents.
- Customer to provide a test host or lab endpoint for final sandbox validation and to supply allowlist/critical-host inventory.
- Seller to document rollback procedures and failure-mode behaviors for handoff to the customer's ops team.
- Customer IT/Security to verify EDR API access and approve least-privilege account for validation runs.
- Readout of Baseline Metrics & Success Criteria
- Demonstrate that each playbook executes successfully and measure the exact time-to-complete on real incidents.
- Obtain explicit customer validation that the automated outcomes match the desired future state and eliminate the pain points described.
- Document any remaining fixes or controls required before moving to advisory/automated deployment modes.
- Introductions & Objectives
- Seller to deliver a run report with timestamps, logs, screenshots, and a comparison to baseline times.
- Customer to confirm acceptance or list required adjustments within X business days (template sign-off).
- Both parties to capture any required playbook changes and schedule a remediation window if needed.
- Readout of Run Results & Measured Savings
- Obtain formal acceptance (or list of required fixes) for both playbooks based on measured runs.
- Confirm safety/rollback behavior is adequate and assign owners for deployment readiness tasks.
- Decide the immediate next mode of operation (advisory in prod, limited automation, or full automation) and schedule Deployment Enablement.
- Ensure a clear handoff package (playbook artifacts, run logs, acceptance criteria) is assigned to Deployment owners.
- Seller to produce a final acceptance package including run reports, playbook exports, and remediation backlog.
- Customer to sign acceptance or provide a prioritized remediation list within the agreed SLA.
- Both parties to schedule Deployment Readiness and Enablement sessions and assign owners for monitoring and rollback SLAs.
- Capture a single-sentence current state for each incident type (phishing, endpoint isolation).
- Quantify baseline manual time-per-case and weekly analyst hours lost for both incident types.
- Confirm required integrations, test accounts, and pre-work completed so playbook builds can proceed without delay.
- Schedule the playbook build workshops and assign owners for artifacts and access.
- Customer to deliver full incident artifacts (email headers, EDR traces, SIEM correlation searches, ticket history) for both test incidents.
- Customer to grant read-only API/test accounts or provide sandbox endpoints for connectors required in playbooks.
- Seller to prepare a brief baseline worksheet template to capture manual step timings and cost assumptions.
- Both parties to confirm attendees and schedule two 90-minute build workshops (one per playbook).
- Recap Current State & Future State Target
- Produce a working phishing triage playbook in sandbox/advisory mode tailored to the customer's incident.
- Demonstrate that the playbook completes the scripted path and capture initial execution time and artifacts.
- Agree on acceptance criteria and safety gates to be validated in the run session.
- List any integration gaps, data mappings, or policy constraints needing resolution before production runs.
- Seller to finalize playbook in sandbox and export run logs, screenshots, and execution timing.
- Phishing Playbook Run & Live Measurement
- One‑Sentence Current State
- Safety-First Design: Guardrails & Rollback
- Review Safety Tests & Failure Modes
- Map Manual Steps to Playbook Actions
- Acceptance Review Against Criteria
- Incident Walkthroughs (Phishing + Endpoint)
- Endpoint Isolation Run & Safety Validation
- Map EDR & ITSM Actions, Roles, and Escalation
- Define Acceptance Criteria & Safety Gates
- Consequence Mapping: Time, Risk, Cost
- Author Playbook Steps & Configure Connectors
- Author Playbook Steps & Configure EDR Connector
- Deployment Readiness Checklist & Roles
- Triage of Unexpected Results & Tune
- Pre-Work & Integration Checklist
- Run Controlled Tests & Validate Rollback
- Quantify Time Savings & Analyst Hour Impact
- Execute Sandbox Runs & Record Metrics
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Solution Scope
Define targeted alert types, integrations, playbook actions, responsibilities, and acceptance criteria for the evaluation and rollout.
Scope Configuration
- Integrate SIEM Connector and Event Ingestion
- Integrate EDR Connector and Action Controls
- Integrate Threat Intelligence Feed(s)
- Integrate Email Gateway / Phishing Reporter Connector
- Deploy Phishing Triage Playbook (advisory mode)
- Deploy Endpoint Isolation Playbook (advisory mode)
- Automate IOC Enrichment and Contextualization
- Automate Ticket Creation and Update in ITSM
- Enable Parallel API Execution Engine
- Enable Advisory-to-Automated Response Toggle
- Deploy URL and Attachment Detonation Sandbox Integration
- Implement Role-Based Playbook Permissions and Audit Logging
- Deploy Legacy On-Prem Connector for Custom Systems
Scope Questions
Integrate SIEM Connector and Event Ingestion
- Which SIEM(s) are in use in scope for this integration?
- What event forwarding method is available/preferred (how will events be ingested)?
- What is the estimated daily event volume (rough ranges) we should plan for?
- Which specific event types and fields must be ingested or normalized (e.g., alerts, logs, enriched fields)?
- Do you require filtered/curated event subsets (noise reduction) before playbook triggering?
- Who will provide SIEM access credentials, and who is the technical contact for onboarding?
Integrate EDR Connector and Action Controls
- Which EDR vendor(s) are in use and need connectors?
- Which containment/remediation actions should be permitted by automation?
- What approval model should govern EDR actions during evaluation (advisory vs manual approval vs auto)?
- What authentication model is available for EDR integration (service account, API key, certificate)?
- How many endpoints are in scope (approximate fleet size) for playbook actions?
- Who is the owner for EDR connector maintenance and incident approvals?
Integrate Threat Intelligence Feed(s)
- Which threat intelligence feeds or platforms should be integrated?
- What enrichment attributes do you require from TI (e.g., reputation, first seen, confidence, malware family)?
- Do you prefer push (feed pushes indicators) or pull (platform queries feed) integration?
- What refresh cadence is acceptable for indicators (real-time, hourly, daily)?
- How should false positives and whitelisted indicators be handled?
- Who owns the TI mapping/validation process in your organization?
Integrate Email Gateway / Phishing Reporter Connector
- Which email gateway or phishing reporter systems are in scope?
- How are user-reported phishing messages currently delivered for triage (reported mailbox, API, forwarding)?
- Which automated actions should be available from reported emails?
- Are there PII, legal, or privacy constraints to sending message content to external sandboxes or services?
- What is the typical daily volume of reported messages to be ingested for evaluation?
- Please provide the mailbox, API owner, or contact responsible for the phishing reporter integration.
Deploy Phishing Triage Playbook (advisory mode)
- Do you want a phishing triage playbook built and run against recent incidents for evaluation?
- Which triage steps should the playbook include for the phishing scenario?
- What are the acceptance criteria for the phishing playbook (time-to-complete target, detection accuracy, minimal false positives)?
- Provide 1-3 recent phishing incidents or sample emails (within last 30 days) for testing.
- Who will validate advisory playbook outputs (roles that will review results)?
- What rollback or mitigation controls do you require while running in advisory mode?
Deploy Endpoint Isolation Playbook (advisory mode)
- Do you want an endpoint isolation playbook built and executed in advisory mode for evaluation?
- Which signals should be allowed to trigger the isolation playbook?
- Which isolation actions should be simulated or performed in advisory mode?
- Is there a staging/test endpoint pool available for safe validation?
- What criteria should be used to avoid isolating critical infrastructure or false positives (whitelists, asset tags)?
- Who must approve any move from advisory to automated isolation for production endpoints?
Automate IOC Enrichment and Contextualization
- Which IOC types should be enriched automatically?
- Which enrichment sources should be prioritized (TI feeds, passive DNS, EDR tags, internal DB)?
- What contextual fields are required in the enrichment (e.g., ASN, geolocation, owner, first seen)?
- What SLA do you expect for IOC enrichment (seconds, under 1 minute, under 5 minutes)?
- How should conflicting enrichment results be reconciled (authoritative source, append all, analyst review)?
- Who owns validation of enrichment accuracy and the mapping of fields?
Automate Ticket Creation and Update in ITSM
- Which ITSM platform(s) must be integrated for ticket creation/updates?
- Which ticket fields must be auto-populated (short description, severity, affected host, owner, artifacts)?
- What conditions should trigger ticket creation vs ticket update vs suppression?
- What is the expected ticket lifecycle and closure criteria to align with your SLAs?
- Do you require bi-directional sync (updates in ITSM reflected back to the platform)?
- Who will manage ITSM connector credentials and mapping ownership?
Enable Parallel API Execution Engine
- Are there playbooks or actions that would benefit from parallel API execution?
- Which specific integrations/steps do you expect to run in parallel (e.g., reputation checks, EDR queries, sandbox detonation)?
- What maximum concurrent API calls are acceptable given vendor rate limits?
- Preferred handling for rate limits and API failures (throttle, exponential backoff, queue and retry, fail-fast)?
- What performance acceptance criteria should parallel execution meet (end-to-end playbook time)?
Enable Advisory-to-Automated Response Toggle
- Do you plan to convert advisory playbooks to automated response during the engagement or after validation?
- What conditions or KPIs must be met to flip a playbook to automated mode (time savings, error rate, sandbox results)?
- Which playbook categories should never be automated (e.g., account disable, domain takedown)?
- What approval workflow should be used to change advisory/automated state (in-app approval, CAB ticket, email sign-off)?
- Who is authorized to toggle a playbook to automated mode?
- Should automated-mode enablement include automatic rollback triggers (e.g., if false positives exceed threshold)?
Deploy URL and Attachment Detonation Sandbox Integration
- Which sandbox(s) should be integrated for URL and attachment detonation?
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Mutual Commit
Confirm commercial terms, data/access commitments, advisory vs automated modes, rollback controls, and success measurement approach.
Agreement Modules
- Non-Disclosure Agreement (NDA)
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Commercial Quote & Order Form
- Data Processing & Privacy Addendum (DPA)
- Data & Access Agreement
- Automation Mode Consent
- Rollback Controls & Safety Playbook
- Success Measurement & Acceptance Criteria
- Implementation Plan & Schedule
- Change Control & Governance Agreement
- Training & Knowledge Transfer Agreement
- Service Level Agreement (SLA) & Support
- Termination & Exit Plan
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Deployment
Operationalize rollout with readiness checks, controlled testing, and validation to prevent unsafe automations.
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Pre-Deployment Readiness
Verify integrations, test environments, least-privilege access, logging, rollback plans, and owners to mitigate unsafe automations.
Readiness Questions
Quick Intro — Your SOC in a Snapshot
- How many people are on your SOC roster (FTEs) and how are shifts typically staffed?
- Which title is the primary decision-maker for SOC tooling and pilots in your org?
- On an average day, about what percentage of analyst time is spent on manual copy/paste triage across consoles?
- Briefly describe a recent day-in-the-life example where manual triage created friction (who did what, across which consoles)?
The Incident That Kept You Up — Tell Us the Real Story
- Think back to the most painful recent incident (within 90 days) — what made it take hours instead of minutes?
- Which of these best describes the incident that ballooned (pick the primary one)?
- Walk us through the manual steps the team executed — which consoles or tools were involved and which steps were the slowest?
- What downstream impacts occurred because containment took so long (e.g., business outage, customer fallout, compliance impact)?
- When that incident happened, what did it feel like for the analysts and for leadership—frustration, panic, resignation, something else?
Why Automation Still Feels Risky — Let's Challenge The Assumptions
- What’s the single thought that makes you hesitate to let any automation make changes in production?
- Which of these past experiences most shaped that belief?
- How do you currently validate that a manual mitigation was the right action (e.g., logs, peer review, post-mortem), and how often is that validation skipped?
- If an automated response wrongly isolates a host or disables an account, who in your org must be notified and who must approve the rollback?
- How comfortable would you be running automations in advisory mode first, where actions are suggested but not enacted?
Two Playbooks to Prove It — What Would Make You Say Yes?
- If we could build two playbooks on incidents from your last 30 days, which two would you pick as the highest priority to measure value?
- What is your acceptance criteria for those playbooks to be considered successful (pick up to three)?
- How do you prefer we measure time savings—simulated runs on recorded incidents, parallel manual vs automated runs, or live advisory runs on low-risk cases?
- Who in your organization must approve the outcome before we scale those playbooks beyond the pilot?
- How many recent incidents (past 30 days) would you allow us to use as test cases for building and validating the two playbooks?
Where We'll Plug In — Your Toolchain and Integration Realities
- Pick the security, telemetry, and ticketing tools you use today (select all that apply).
- Are any of these systems on-prem only or behind restrictive network zones that would affect integration?
- Do you have APIs, service accounts, or proxy credentials ready for us to use in a test environment? If partial, list which are available.
- Which connector types are most important to you for these playbooks?
- If we encounter a legacy or unsupported system, how flexible are you to deploy a lightweight collector, proxy, or temporary credential method to allow safe automation?
Safeguards and Rollbacks — Who's Owning Safety?
- If an automated action produces an unexpected result, what does a safe rollback look like in your environment and how quickly must it occur?
- Which of these safety controls are mandatory before allowing automated blocking or isolation?
- Who must be notified in real time for any automated change (select all that apply)?
- Do you have existing change-control or CAB processes that automated responses must flow through, or do you want a tailored lightweight path for incident automation?
- How much historical logging and audit detail do you require for each automated playbook run (e.g., full API calls, user context, pre/post snapshots)?
Testing Ground — Environments, Data, and Test Plans
- Do you have a dedicated test or staging environment where we can run destructive or isolation steps safely?
- Would you allow us to run playbooks against replayed recent incidents (sanitized) to measure run-time and outcomes?
- What types of synthetic or recorded data would help validate playbooks without touching production (e.g., detonation files, test accounts, simulated alerts)?
- Who on your side can provision test credentials, seed test data, or approve replayed incidents for validation?
- Are there legal, privacy, or compliance limitations on using production telemetry even in sanitized form for testing?
Roles, Escalation Paths, and Day-to-Day Ownership
- Who will be the daily owner of automated playbooks after deployment (who will maintain them and own runbooks)?
- What does your ideal escalation path look like if a playbook behaves unexpectedly during business hours vs after hours?
- Which of these responsibilities should our team retain during the pilot phase (select all that apply)?
- How do you prefer to communicate issues and enhancements during the pilot—dedicated Slack/MS Teams channel, weekly calls, or ticketed backlog?
- Who needs read-only vs full-control access to the automation platform during evaluation and who should have final authority to flip from advisory to automated mode?
Training, Handoff, and Avoiding Shelfware
- If automation is complicated for analysts, it ends up unused — what training format has worked best for your team in the past?
- How much time can analysts realistically dedicate to onboarding new automation tools during the pilot (per person)?
- What would make you confident that playbooks will be maintained long-term and won't become shelfware?
- Would you prefer training to focus more on technical configuration, analyst workflows, or decision-making/triage judgment calls?
- Who should receive certification or completion acknowledgment after training to ensure accountability?
Metrics, Baselines, and What Winning Looks Like
- What single metric from the pilot would most convince leadership to fund wider rollout?
- Please provide your current baseline for that metric (example: average manual triage time per case, or analyst-hours per week lost to triage).
- What target goal would you consider a clear success after the pilot (numeric or descriptive)?
- How often would you like performance reviews during the pilot (e.g., daily during run-in, weekly, biweekly)?
- If the pilot meets technical goals but analysts resist adoption, what non-technical outcome would still count as a partial win for you?
Pilot Commitments — Timeline, Data, and Sign-offs
- If we agreed to start the pilot this month, what is the earliest practical date you could provide the required test credentials and access?
- What pilot length would you be comfortable committing to in order to generate meaningful data (choices below)?
- Which stakeholders must be present for the final pilot review and decision meeting?
- What's one non-negotiable deliverable you expect at the end of the pilot (e.g., documented rollback, measured time savings, trained champions)?
- Is there anything else we should know right now that could make the pilot easier, faster, or more likely to succeed?
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Deployment Enablement
Coordinate schedules, run playbooks in advisory mode, assign owners, and train analysts on change control and escalation paths.
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Validation Checklist
Execute acceptance tests using recent incidents, confirm playbook safety and parallel execution performance, and document measured time savings.
Validation Questions
Quick Context: Who You Are and What Broke Yesterday
- Please share your name, role/title, and how many analysts you have on a typical shift.
- Which security products are actively in your stack right now? (select all that apply)
- How many alerts or distinct incidents does the team triage per day on an average week?
- In the last 30 days, how many incidents involved manually copying indicators between three or more consoles?
- Briefly describe one recent incident that took unusually long to contain — what happened, which tools were involved, and how long it took?
Where Does Your Time Really Go?
- If manual copy‑paste and console-hopping are your team's default, what meaningful security work do you think is being deprioritized today?
- Estimate what percentage of an analyst’s shift is spent on repetitive enrichment and cross‑tool lookups (not investigation thinking).
- How long does a typical phishing triage or endpoint isolation case take from open to decision today?
- Which manual steps consume the most time in your workflows? (select all that apply)
- Tell us about the last time an incident exceeded your SLA—how did it impact operations, and how long has this pain been recurring?
What Keeps You Up at Night?
- How would a single automation mistake—isolating the wrong host or locking a legitimate account—impact your team’s trust in automation and your business operations?
- Which of these risks worry you most when considering automation? (select up to three)
- Have you experienced any automation or tool-related outages or misactions in the last 24 months? If yes, briefly describe frequency and impact.
- How do these risks make you or your team feel about delegating decisions to a playbook—excited, cautious, skeptical, or somewhere in between?
- What track record, control, or assurance would most reduce your concern about automation (for example, advisory runs, rollback, granular permissions)?
Imagine Automation That Actually Eases Your Day
- If a phishing triage playbook could finish all enrichment and blocking checks in under two minutes, what would your team spend that reclaimed time on instead?
- Which success signals matter most to you for a pilot? (select all that apply)
- What target time-per-case would make you consider automation a clear win?
- How many analyst-hours reclaimed per week would justify wider rollout of automation in your org?
- Describe one ‘must-have’ outcome and one ‘deal-breaker’ outcome for any automation we build together.
What Would Have To Be True For Us To Hit Go?
- What specific integrations or on‑prem connectors must be available before you could consider running production playbooks?
- What minimum access model are you willing to grant for evaluation and pilot (select one)?
- Do you have a dedicated test/staging environment we can run scenarios against, or do we need to use recent production incidents?
- Which rollback and approval controls are non-negotiable before an automated action can run? (select all that apply)
- Who (roles) must sign off on pilot acceptance criteria and final rollout? Please list names or roles and their primary concern.
Let’s Pick Two Real Cases and Make Them Faster
- Would you be willing to select two recent incidents (within 30 days) — one phishing and one endpoint case — to use as the evaluation baseline?
- Which playbook scenarios should we build and measure? (choose up to three)
- Please provide the incident IDs or a short description for the two cases you'd like us to use (or indicate if you'd prefer us to pick representative examples).
- What acceptance tests should each playbook pass to be counted as successful? (select all that apply)
- How will we measure time savings and accuracy—do you have a baseline runbook or a recorded manual timeline we can compare to?
- What data or logs will you provide to validate the runs (SIEM searches, EDR logs, console screenshots)?
Safety Nets: Testing, Advisory Mode, and Rollback
- How many advisory-mode runs (where the system suggests actions but does not execute) would you need before you’d consider enabling any automated actions?
- What concurrency and parallel-execution performance targets matter to you (for example, how many parallel API calls or playbooks must complete within X seconds)?
- What logging, alerting, and audit evidence must be produced for every automated or advisory run?
- In the event of an unexpected action, what automated rollback or human escalation path do you require?
- Who will be the single point owner for runbook safety and incident rollback during the pilot (role and backup)?
Ready to Decide — ROI, Timeline, and Commitment
- If we prove X reclaimed analyst hours per week and reliable safety controls, what level of commitment would you be prepared to make?
- What pilot timeline feels realistic for you—from kickoff to validated results—given internal approvals and access?
- Who holds purchasing or budget authority for this initiative, and who needs to be involved in contract/commercial discussions?
- What minimum quantitative threshold (time saved per case or analyst-hours per week) would trigger a phased rollout for you?
- What would you like the next tangible step to be after this discovery (e.g., schedule connector inventory, share incident IDs, run advisory demo)?
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Success
Review outcomes vs success signals, capture reclaimed analyst hours, and maintain a shared channel for issues and enhancements.
Success Reviews
- Success Review & Acceptance
- ROI & Operational Impact Review
- Post-Deployment Safety & Improvement Workshop
- Ongoing Ops Cadence & Shared Channel Setup
Issues & Enhancements
- Schedule the standing ops syncs and add calendar invites with owners and pre-work requirements.
- Establish the cadence and owner for ongoing ROI measurement.
- Create and deliver an ROI dashboard (weekly refresh) showing reclaimed hours, cost equivalent, and trend lines.
- Document prioritized backlog of playbooks for expansion and assign product/ops owners.
- Define and schedule a quarterly business review to revisit ROI and expansion decisions.
- Create a set of reproducible test cases for each high-priority issue.
- Runbook & Incident Recap
- Capture all safety and correctness issues from live runs and assign remediation owners.
- Agree on an incremental tuning and release plan that preserves advisory-mode safeguards until proven.
- Create tickets for each identified safety/correctness issue with severity, owner, and target remediation date.
- Build and store acceptance test cases (playbook inputs and expected outputs) in the customer's test repo.
- Update rollback and access-control documentation and publish to the shared channel.
- Purpose & Scope of Shared Channel
- Create a functioning shared channel with the correct membership and permissions.
- Agree on escalation, change-control, and rollback procedures to keep automations safe.
- Establish a recurring meeting cadence and backlog process to ensure continuous improvement.
- Create the shared channel, invite the agreed membership, and post the onboarding note and runbook links.
- Publish the escalation matrix and change-control checklist to the channel and attach to each playbook owner profile.
- Introductions & Objectives
- Validate that each pilot playbook meets the documented success signals.
- Capture precise reclaimed analyst hours per week and agree on the measurement method.
- Obtain customer sign-off or a defined remediation plan with owners and dates.
- Publish the final acceptance report including raw metrics, traces, and reclaimed-hours calculation.
- If any acceptance criteria failed, create a remediation ticket with owner, acceptance target, and timeline.
- Update the customer's baseline vs outcome slide deck and share to the agreed channel.
- Executive Summary of Outcomes
- Agree on a documented ROI figure and the assumptions behind it.
- Decide the next set of playbook expansions or pilots with clear criteria.
- Current State (one-sentence)
- Channel Setup & Access Roles
- Reclaimed Hours & Cost Model
- False Positive / False Negative Analysis
- Operational Impact Metrics
- Consequence Summary
- Safety Controls & Rollback Review
- Escalation & Change-Control Process
- Expansion Prioritization
- Playbook Tuning & Acceptance Tests
- Measured Outcomes (Before vs After)
- Cadence & Meeting Calendar
- Live Playbook Trace / Evidence
- Prioritization of Fixes and Enhancements
- Backlog Management & SLAs
- Decision: Expand, Pilot, or Pause
- Acceptance Criteria Checklist
- Sign-off, Next Steps & Owners