Choose workflow and establish owners.
Release blockage map
Representative example
Purpose: Identify the unresolved decision, dependency, evidence gap, or ownership problem preventing release.
Intended user: Executive sponsor, product leader, technical leader.
Decision supported: Where progress is stopping and who owns the unresolved decisions.
Readable preview
| Field | Example |
| Workflow | AI-assisted intake summary for an operations team. |
| Observed stall | Demos are accepted, but release review keeps reopening evaluation and ownership questions. |
| Primary blockage | No accountable business owner can approve the release criteria. |
| Evidence gap | Failure cases for sensitive intake notes are missing. |
| Next decision | Name the business owner and define escalation cases before expanding the build. |
View the AI Release Audit
Define what good looks like.
Release-readiness scorecard
Representative example
Purpose: Determine whether workflow definition, ownership, evaluation, routing, controls, and operational readiness are sufficient for a controlled release.
Intended user: Sponsor and delivery team.
Decision supported: Whether release risk is decreasing.
Readable preview
| Field | Example |
| Workflow | Defined: internal claims triage summary for operations users. |
| Ownership | Business owner named; technical owner named; escalation owner missing. |
| Evaluation | Twenty routine cases pass; sensitive and adversarial cases incomplete. |
| Risk route | Low-risk summaries can proceed; uncertain or sensitive cases route to review. |
| Release decision | Not ready for broad release. Ready for controlled internal trial after escalation owner and failure cases are complete. |
View the AI Release Audit
Route actions by risk, confidence, and consequence.
Risk-routing matrix
Representative example
Purpose: Define which actions may proceed automatically and which require review, approval, escalation, containment, or termination.
Intended user: Product, engineering, operations, risk reviewers.
Decision supported: Which AI actions move, pause, route to review, or stop.
Readable preview
| Field | Example |
| Automatic | Low risk, high confidence, reversible. |
| Approval | Material consequence or sensitive action. |
| Stop | Unauthorized data/tool/action or unsafe behavior. |
Explore Risk-Based Routing
Test realistic success and failure cases.
AI evaluation scorecard
Representative example
Purpose: Test whether the workflow performs the intended work, handles meaningful failures, follows policy, and escalates appropriately.
Intended user: Technical owner, evaluator, sponsor.
Decision supported: Whether the workflow has enough evidence to release.
Readable preview
| Field | Example |
| Task success | Pass/fail with severity. |
| Groundedness | Evidence source and unsupported assertions. |
| Escalation | Correct refusal or human handoff behavior. |
Explore AI Agent Evaluation
Put human judgment where it matters.
Human approval design
Representative example
Purpose: Define where human authority is required, what evidence the reviewer sees, and how approval, rejection, timeout, and escalation work.
Intended user: Reviewer, approver, operations leader.
Decision supported: Where human judgment is necessary and what evidence the person sees.
Readable preview
| Field | Example |
| Approval authority | Named role can approve, reject, or escalate. |
| Evidence shown | Input, output, route class, confidence, risk notes. |
| Audit trail | Decision, rationale, approver, time. |
Explore Human Approval Gates
Release with evidence and clear ownership.
Ownership and operating handoff
Representative example
Purpose: Establish who owns the released workflow, how it is monitored, and how incidents, rollback, support, and improvement are handled.
Intended user: Operational owner, technical owner, support lead.
Decision supported: Who owns the released workflow and how failures are handled.
Readable preview
| Field | Example |
| Owner | Named business and technical owners. |
| Monitoring | Signals, thresholds, and review cadence. |
| Rollback | Stop, revert, communicate, and learn. |
View the AI Delivery Pilot
Measure, learn, and update.
Release-metrics dashboard
Representative example
Purpose: Track whether delivery is becoming faster and more dependable through measures such as readiness, evaluation pass rate, approval latency, intervention rate, incident rate, release time, and operating outcomes.
Intended user: Executive sponsor and delivery leader.
Decision supported: Whether AI delivery is becoming faster and more dependable.
Readable preview
| Field | Example |
| Readiness | Workflows meeting criteria. |
| Escape rate | Failures that reach production users/operators. |
| Learning closure | Production lessons converted into updates. |
Explore AI Release Metrics