# Agent Workflow Migration Checklist Promo

Published asset:

https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=operator&utm_medium=gtm_packet&utm_campaign=agent_workflow_migration

Paid diagnostic:

https://buy.stripe.com/00w14neyUcXA5pL5e33sI0e?utm_source=agent_workflow_migration&utm_medium=social&utm_campaign=scanoss_ona_followup&utm_content=diagnostic

## Positioning

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 offer: $499 Agent Workflow Migration Diagnostic. Send one real agent workflow. We map control gaps, repeated-failure risks, review evidence, and the first enforceable gates.

## Bluesky

AI agent rollouts are starting to look like SCA migrations:

the tool is visible,
but the risk lives in gates, exceptions, ownership, attribution, and audit evidence.

I wrote a checklist for moving from ad hoc agents to governed workflows:

https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=bluesky&utm_medium=social&utm_campaign=agent_workflow_migration

## Threads

AI coding agents do not just need better prompts.

They need migration controls:

- who owns the workflow
- what the agent may touch
- which actions are blocked
- how exceptions expire
- what evidence reaches review
- where attribution can break

Checklist:
https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=threads&utm_medium=social&utm_campaign=agent_workflow_migration

## LinkedIn

The next AI coding rollout failure mode is not "the model could not write code."

It is "we expanded agent access before mapping the control system around it."

That control system includes:

- workflow ownership
- allowed repos, branches, and file classes
- pre-action gates
- exception and override policy
- dependency and SBOM-sensitive paths
- review routing
- attribution evidence
- rollback paths

This is the same pattern that makes SCA migrations hard: the new tool is visible, but the existing gates, exceptions, and audit narrative are what make the migration risky.

I put together a practical AI Agent Workflow Migration Checklist for teams moving from ad hoc agent usage to governed background-agent workflows:

https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=linkedin&utm_medium=social&utm_campaign=agent_workflow_migration

For teams that want one real workflow mapped, ThumbGate has a $499 Agent Workflow Migration Diagnostic.

## Zernio Short Post

AI agent rollout risk is starting to look like SCA migration risk.

The hard part is not picking a tool. It is preserving gates, exceptions, ownership, attribution, and audit evidence while agents get more repo access.

Checklist:
https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=zernio&utm_medium=social&utm_campaign=agent_workflow_migration

## Direct Reply

This maps closely to the agent rollout problem. Teams do not only need "better agents"; they need a migration path from ad hoc AI use to governed workflows with owner, allowed surfaces, pre-action gates, exceptions, evidence, and rollback.

I wrote the checklist here:
https://thumbgate-production.up.railway.app/guides/ai-agent-workflow-migration-checklist?utm_source=reply&utm_medium=social&utm_campaign=agent_workflow_migration

