AI-work governance
Control the AI work already running
Turn loose AI output — requests, scripts, vendor features, agents — into controlled apps with owners, release evidence, support paths, and value records.
Build → Deploy → Run
- 1
Frame
Scope the work.
- 2
Weave
Ship with checks.
- 3
Trace
Run with control.
One record, owned and supported
Named ownership
Every AI workflow gets an owner — who's accountable once it matters.
Release evidence
Checks, approvals, and a replayable record attached before anything ships.
Value tracking
Time saved per managed run, attributed to the production record.
Your first 90 days
- first workflow controlled
- Week 1
- policy gates green (sample)
- 47/47
- audited-ROI review
- Day 90
Connect the systems the work touches
100+ integrations, powered by Nango
GitHubCode & releases
SalesforceCRM
SlackMessaging
JiraIssue tracking
QuickBooksAccounting
NotionDocs & wikis
GitHubCode & releases
SalesforceCRM
SlackMessaging
JiraIssue tracking
QuickBooksAccounting
NotionDocs & wikis
Bring the AI work under control
Accepting design partners — pricing on the call.