AI-Assisted Delivery Evidence Packet

AI-assisted engineering spreads evidence across tools: chat or IDE context, PRs, CI logs, workflow files, credential systems, deploy platforms, and incident or audit records. The packet does not need to duplicate every log. It needs to connect the path.

Evidence packet fields

Actor and owner

Human requester, accountable owner, agent or automation, team, and intended task.

Delivery path

Repo, branch, PR, workflow file, CI job, package script, MCP tool, or release path.

Authority

Credential source, token type, service account, cloud role, secret, delegated identity, or inherited access.

Approval

Policy applied, approver, reason, timestamp, action allowed, action denied, or missing approval.

Action and target

What changed, which system was affected, and whether the action wrote, deployed, published, deleted, or accessed sensitive data.

Outcome

Validation result, job result, deployment state, package state, logs, and remaining gaps.

Copyable evidence checklist

AI-assisted delivery evidence packet

- Human owner:
- Agent or workflow:
- Repo / branch / PR:
- Workflow, job, tool, or script:
- Credential or identity:
- Reachable action:
- Target system:
- Approval decision and reason:
- Validation:
- Final outcome:
- Evidence location:
- Remaining gaps:

Completed example

AI-assisted PR -> workflow edit -> release job -> package token -> package publish -> approval gap

Evidence field	Example value
Human owner	Release engineering owner for package publishing workflow.
Agent or workflow	AI-assisted PR updated a release workflow and package script.
Credential or identity	Package registry token available to the release job.
Reachable action	Publish package after merge.
Remaining gap	Approval reason and credential scope are not captured in the PR, CI log, or release artifact.

When this matters most

Keep the packet lightweight for routine work. Require it for credentialed, production-adjacent, release, package publishing, cloud, internal tool, customer-impacting, or destructive actions. That is where teams later need evidence for customers, auditors, incidents, or internal review.

Generate a sample packet.

The Clyra lab exports a simulated action path JSON and evidence packet so your team can see the shape before mapping a real workflow.

Open the lab