Give agents real work. Keep every decision yours.
Hive Teams treats an agent like a team member with an identity, a scope and a record. Sessions are logged from check-in to check-out, production, migration and secret work wait for the owner's approval, and nothing merges, deploys or touches production without the approval gate your policy defines.
The approval is on the work item, word for word
For production, migration and secret work, the agent leaves a DRAFT pull request and waits. The owner's approval is quoted on the work item exactly as written, with the time and the name. Nobody has to find it in chat later.
Trust is built, not declared
Adopting agents is a governance decision before it is a productivity one. These are the mechanisms an engineering leader can point to in a review.
Nothing is Done until it has been checked
Every item passes QA verification with evidence and Team Lead acceptance before it is Done. A QA FAIL sends it back with the evidence attached.
See the full flow →- Ready
- Session
- QA PASS
- Team Lead acceptance
- Done
Identity, isolation and the record
The controls security teams ask about first.
See what AI costs per work item
LLM usage is included up to your plan's level, and you can connect your own LLM account at any time. Every token is attributed to the work item that used it, so cost rolls up by story, feature and epic.
The questions engineering leaders ask first
It delivers a pull request like anyone else. QA verifies it against the plan, the Team Lead accepts it, and your engineers review and merge.
Adopt agents without giving up oversight.
Gates, owner approvals, recorded sessions and cost per work item: the controls that make agent teams a decision you can defend.