—ReleaseOps · Readiness
Deployment readiness.
Axiom Agent assembles evidence-backed readiness checks before approval and execution. It must distinguish verified signals, missing data, preview inputs, and human judgments.
A score is not evidence by itself
01
Readiness dimensions
Ownership and scope
Service owner, environment, change scope, customer impact, and accountable approvers.
Repository and pipeline state
Branch protection, required checks, release artifact, and connector evidence when available.
Dependencies and scheduling
Upstream or downstream dependencies, blackout windows, sequence, and collision checks.
Access and separation of duties
Required permissions, role boundaries, and independent approval rules.
Validation plan
Expected outcomes, probes, owners, thresholds, and deferred-validation rules.
Rollback readiness
A documented recovery path, decision owner, trigger, and evidence that applies to this change.
Communication
Stakeholders, channels, change record, escalation, and delivery status.
Evidence and closure
Artifacts and observations required before the request can close.
02
Required signal states
- Verified — supported by a current persisted record or actual integration response.
- Human confirmed — explicitly attested by an authorized user with time and identity recorded.
- Preview — derived from sample or non-live logic and never treated as production evidence.
- Unknown — no current evidence; cannot silently pass a gate.
- Failed or blocked — the check ran and did not satisfy policy, or a required dependency is unavailable.
03
How gates behave
- Blocking requirements stop progression and identify the owner or dependency needed to continue.
- Rejected and expired approvals remain recorded and do not count as authorization.
- Retries preserve prior attempts and their evidence.
- Deferred validation records an owner, due time, expected check, and follow-up state.
- Closure is unavailable until required evidence and validation are present.
04
Trust questions
What is readiness?
A set of policy checks and evidence used to decide whether a specific deployment can proceed.
Does missing data pass?
No. It remains unknown or blocked according to policy.
Can AI decide alone?
No. AI output carries sources and uncertainty; required human approvals remain authoritative.
Can thresholds vary?
Yes. Organizations and environments can use different gates, provided the active policy is recorded.
What happens after a failure?
The failed result and evidence remain visible; correct the dependency and rerun only the affected check.
Where is readiness reviewed?
Inside the installed Axiom Agent deployment workflow.
Still blocked?
Include the failed step and error. Never send a password, token, or cloud secret.