Two things kept coming up when we talked to teams building internal AI automation: rebuilding the same integrations, and automation touching production with no visibility into what it actually did.
So we built Retroshift, run and govern AI agent workflows in your existing tools. Every action is logged, nothing touches production without approval, and we use a local first approach so everything can be run straight on your local machine
Things we're actively working on:
- Shadow execution: test workflows against mocked dependencies before hitting production
- Import runbooks into workflows
- Trace to workflow: convert a chat session into a reusable workflow
- Workflow marketplace
- Evals
- Slack integration
Invite-only alpha now, beta next week. Would love feedback from anyone running ops automation or starting to think about AI agents supporting production systems.
Two things kept coming up when we talked to teams building internal AI automation: rebuilding the same integrations, and automation touching production with no visibility into what it actually did.
So we built Retroshift, run and govern AI agent workflows in your existing tools. Every action is logged, nothing touches production without approval, and we use a local first approach so everything can be run straight on your local machine
Things we're actively working on:
- Shadow execution: test workflows against mocked dependencies before hitting production
- Import runbooks into workflows
- Trace to workflow: convert a chat session into a reusable workflow
- Workflow marketplace
- Evals
- Slack integration
Invite-only alpha now, beta next week. Would love feedback from anyone running ops automation or starting to think about AI agents supporting production systems.