ThumbGate Workflow Hardening Sprint
checklist | agent workflow migration

# AI Agent Workflow Migration Checklist

Most AI coding rollouts will not fail because the agent cannot write code. They will fail because the team never mapped the gates, exceptions, audit trail, ownership model, and review evidence before giving agents more surface area.

ThumbGate blocks repeat agent failures before execution
Pro $19/mo or $149/yr. Team $49/seat/mo.

## Why this matters now

Software teams are moving from ad hoc assistant sessions into background agents, repo-level automation, and autonomous PR queues. That migration has the same hidden risk as SCA platform changes: the tool is visible, but the surrounding control system is where rollout risk lives.

If you cannot explain who approved the agent run, what it was allowed to touch, which gates fired, how ownership was attributed, and what evidence reached review, you do not have an agent workflow. You have a lucky transcript.

## The migration checklist

1. Workflow owner Name the team and human owner for the agent workflow. No orphaned automations.
2. Allowed surfaces Define repos, branches, directories, package files, infra files, secrets, generated assets, and production paths the agent may or may not touch.
3. Context source of truth Capture the issue, ticket, plan, or prompt that authorized the run so reviewers see the original intent.
4. Tool boundaries Separate read-only inspection, local file edits, shell commands, package installs, network calls, deploys, and GitHub mutations.
5. Pre-action gates Block known-bad actions before execution: destructive git commands, unsafe prod edits, secret exposure, unreviewed dependency changes, and repeat failure patterns.
6. Attribution evidence Record agent ID, model/tooling, branch, PR, changed files, dependency impact, CI result, and human feedback.
7. Exception policy Track when a gate is overridden, who approved it, why it was safe, and when the exception expires.
8. Review routing Route low-risk edits differently from protected branches, dependency/SBOM-sensitive files, auth, billing, data retention, and deployment code.
9. Rollback path Define how to revert an agent change, disable the workflow, revoke credentials, and preserve evidence after an incident.
10. Overhead budget Measure whether the agent reduces review load or just moves work into cleanup, duplicated PRs, and audit archaeology.

## Copy-paste audit prompt

    Audit this AI agent workflow before we expand it.

    Map:
    - owner and approval source
    - allowed repos, branches, files, and commands
    - blocked actions and override rules
    - CI, review, and merge evidence
    - dependency, SBOM, secret, and production-touching paths
    - attribution gaps where the code can change without a durable reason
    - the first three ThumbGate pre-action checks we should enforce

## Where ThumbGate fits

ThumbGate turns repeated human feedback and CI failures into enforcement. The useful control is not another dashboard. It is a pre-action rule that stops the already-rejected mistake from happening again.

- Use ThumbGate locally to capture thumbs-up and thumbs-down feedback from real agent sessions.
- Promote repeated failures into gates before risky commands, file writes, or PR actions.
- Attach run evidence so reviewers can see what the agent attempted, what was blocked, and what still needs human judgment.

## FAQ

Why do AI agent workflow migrations fail?

They usually fail when teams change the coding surface without mapping the surrounding gates, exceptions, approvals, ownership, evidence, and audit narrative.

Is an SBOM enough for agent-generated code?

No. SBOMs help inventory components, but agent workflows also need code-level attribution, review evidence, tool boundaries, and controls that prove who authorized the change.

What does the $499 diagnostic produce?

The diagnostic maps one real agent workflow, identifies unsafe gates and audit gaps, and returns a prioritized migration plan for enforceable controls.