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FDAI Proposal Act 3: Scope, Outcomes, Demo, and Adoption

Act 3 turns the architecture into an adoption decision. It defines where automation can begin, how a pilot measures value without overclaiming, what the demo must prove, and which exit criteria govern each expansion of authority.

Slides: 19-26 of 26

Agenda sections: Areas of operations automation, Expected outcomes, Demo, Adoption approach

Slide 19. Automate by decision class, not by tool

Section titled “Slide 19. Automate by decision class, not by tool”

Decision question: Which operational work belongs in observation, automatic action, or human approval?

Key message: FDAI expands automation only where evidence, action safety, and policy support the specific decision class.

On-slide copy:

AreaObserve and adviseCandidate for automatic actionKeep behind human approval
ResilienceDrift, recovery readiness, experiment results.Previously promoted low-impact recovery steps.Failover and chaos experiments with material impact.
Change safetyPlan drift, policy violations, dry-run result.Bounded, reversible corrections after promotion.Broad scope, identity, network, or data-risk changes.
Cost governanceCost anomaly, idle resource, budget trend.Low-impact cleanup with verified ownership and rollback.Commitment, deletion, or capacity trade-offs with material impact.
CapacityForecast and sizing recommendation.Narrow, reversible scaling within policy.Close conflict with cost or resilience objectives.

Visual: One boundary matrix. Use neutral cells and a single blue outline around the selected pilot class, with no colored edge bars.

Evidence to bring: Candidate event inventory, action types, impact limits, owners, and current approval rules.

Presenter note: Select one decision class for the pilot. A vertical name alone is too broad to authorize automation.

Slide 20. Authority grows through measured promotion

Section titled “Slide 20. Authority grows through measured promotion”

Decision question: How does a capability move from observation to changing resources?

Key message: New capabilities start in observation mode and enter enforcement only through an authoritative promotion decision based on measured evidence.

On-slide copy:

  1. Register: Bind scope, owner, action contract, and guardrails.
  2. Observe: Produce decisions, dry runs, and evidence without applying changes.
  3. Compare: Measure precision, coverage, review load, rollback readiness, and policy conformance.
  4. Review: Named owners approve or hold the promotion decision.
  5. Enforce: Enable only the approved decision class and impact scope.
  6. Demote: Return to observation when guardrails regress.

Visual: A horizontal maturity path with a clear return arrow from enforcement to observation. Keep environment, runtime, and fork as separate labels outside the path.

Evidence to bring: Promotion registry entry, target measures, guardrail thresholds, and the owner meeting record.

Presenter note: Deployment does not equal promotion. Day 1 can be operationally useful while applying no changes.

Slide 21. Define value as a measured before-and-after change

Section titled “Slide 21. Define value as a measured before-and-after change”

Decision question: How will the pilot prove value without relying on generic industry claims?

Key message: Every benefit pairs an existing baseline, a pilot measure, and a guardrail that prevents improvement in one metric from hiding new risk.

On-slide copy:

Outcome measureDirection to testGuardrail
Time from signal to qualified decisionDecreaseUnsupported-decision rate does not rise.
Repetitive handoffs per eventDecreaseRequired approval separation remains intact.
Decisions resolved at T0 or T1Increase where evidence supports itReview and block rates remain visible.
Recovery verification timeDecreaseRollback success and recovery objectives remain within policy.
Cost per verified improvementDecreaseAvailability, capacity, and change risk remain within bounds.

Visual: A baseline-to-pilot comparison with a paired guardrail column. Leave numerical fields blank until the baseline workshop.

Evidence to bring: Baseline window, event cohort definition, data source, owner, and reporting cadence for each measure.

Presenter note: Avoid a savings multiple or automation percentage unless the customer has measured both sides with the same cohort.

Slide 22. Expected outcomes across the first three domains

Section titled “Slide 22. Expected outcomes across the first three domains”

Decision question: What should improve if the control loop works as designed?

Key message: FDAI aims to make resilience, change safety, and cost governance more continuous, explainable, and reversible.

On-slide copy:

DomainCurrent constraintPilot hypothesisEvidence of success
ResilienceRecovery confidence depends on periodic exercises.Continuous evidence finds readiness gaps earlier.Verified exercises, recovery outcomes, and rollback records.
Change safetySafety checks vary by path and team.Typed dry runs and policy produce consistent decisions.Policy result, impact scope, approval, and post-change verification.
Cost governanceDetection and correction are separate work queues.Repeated low-impact opportunities can follow one governed loop.Qualified anomaly, owner confirmation, measured correction, no guardrail breach.

Visual: Three aligned rows flowing from constraint to hypothesis to evidence. Do not use oversized outcome numbers before measurement.

Evidence to bring: One approved scenario and measure set for each domain included in the pilot.

Presenter note: A pilot can begin with one domain. The architecture remains the same when another domain is added.

Slide 23. Demo one complete event, not a feature tour

Section titled “Slide 23. Demo one complete event, not a feature tour”

Decision question: What must the demo make believable?

Key message: The demo should prove the event-to-evidence chain and authority separation in one scenario that remains understandable without narration.

On-slide copy:

  1. Signal: A synthetic cloud event enters through the provider adapter.
  2. Decision: The agent path produces evidence, tier, and policy result.
  3. Human moment: A material action waits for an independent approval.
  4. Action and recovery: The approved typed action runs with dry-run, lock, and rollback.
  5. Evidence: The console shows the decision, identities, outcome, and accountable owner.

Visual: A five-frame filmstrip using actual synthetic console captures. Put captions below the media, not over it.

Evidence to bring: Pre-recorded fallback, synthetic payloads, stable local data, and a complete audit trace.

Presenter note: The demo proves governance as much as automation. Do not skip the blocked or approval path to save time.

Decision question: How will reviewers know the demo showed the real control boundary?

Key message: A successful demo exposes both the expected action and the paths that safely refuse to act.

On-slide copy:

  • The same correlation identity is visible from signal through terminal evidence.
  • The decision shows its evidence and selected T0, T1, or T2 tier.
  • A missing safety field or disallowed scope is visibly blocked.
  • A material action cannot continue without a separate approver identity.
  • Retry does not duplicate the action, and a resource lock prevents conflict.
  • Outcome verification and rollback state are visible in the audit timeline.
  • The operator console remains read-only.

Visual: A plain checklist beside one evidence timeline. Avoid success-only green styling; blocked checks are expected proof.

Evidence to bring: Demo test record with pass or fail results and links to each artifact.

Presenter note: Record any criterion not shown live as residual work. Do not substitute narration for missing evidence.

Decision question: What work is required before the first controlled automation?

Key message: Adoption begins with ownership, scope, and read-only evidence, then expands one measured decision class at a time.

On-slide copy:

PhaseWorkExit evidence
0. Baseline workshopSelect event cohort, measures, owners, and candidate scope.Signed scope and baseline plan.
1. FoundationConnect providers, identity, event fabric, state, and read-only console.End-to-end synthetic trace.
2. Observation pilotBind rules, policies, actions, and adapters without applying changes.Measured decision and guardrail report.
3. Promotion reviewReview evidence for one low-impact decision class.Recorded approve or hold decision.
4. Controlled expansionAdd scope or another domain independently.New baseline and unchanged safety contract.

Visual: Five numbered phases on one line. Show a decision gate between phases, not a continuous acceleration arrow.

Evidence to bring: Named platform, policy, security, operations, and FDAI owners with backup coverage.

Presenter note: Customer-specific rules, policy overlays, provider implementations, action entries, and deployment values use supported extension points. Core control-loop changes are outside pilot customization.

Decision question: What should the review group authorize now?

Key message: Authorize a baseline workshop and observation pilot with explicit scope, measures, owners, and stop conditions before considering enforcement.

On-slide copy:

Proposed commitment

  • One approved event cohort and one candidate decision class.
  • Read-only provider access and synthetic demo data.
  • Named accountable owners for platform, policy, security, approval, and FDAI maintenance.
  • Baseline measures and guardrails agreed before observation begins.
  • Promotion reviewed separately after the observation report.

Decision options

ProceedRefineHold
Scope and owners are ready.A baseline, owner, or guardrail needs definition.Required identity or evidence boundary cannot be met.

Visual: One decision statement followed by a compact three-column decision table. End with the proposed workshop date and owner, not a generic thank-you slide.

Evidence to bring: Draft workshop charter, attendee roles, data request, and observation-pilot exit criteria.

Presenter note: The requested decision is permission to measure in observation mode, not permission to enable autonomous changes.

To actRead
Plan the baseline workshopDeploy and onboard
Prepare operational ownershipAgent ownership and transition
Review the complete proposal sourceDeck kit