AI Agent Approval Workflow: How to Build One
Vocion Teamvocion-v2.47.4
How to build an AI agent approval workflow you can self-host: an approve step, a skill that requires review, trust thresholds, and a REST decision API.
7 posts. Tags are topics; for the editorial split see Feature releases and Developer updates.
How to build an AI agent approval workflow you can self-host: an approve step, a skill that requires review, trust thresholds, and a REST decision API.
Vocion's review queue API: GET /api/v1/reviews lists an org's pending agent actions, POST /api/v1/reviews/decide approves, rejects, or edits one.
v2.25.0 lands review card contract v2 — subject, provenance, recommendation, typed content and per-object verbs — so any object type presents through one template and decides through one path.
Credential onboarding lands — paste a token or run one Google OAuth consent and your connectors sync for real. And agents gain propose_action: CRM updates and emails proposed with confidence scores, gated behind your review queue.
Agents now sweep the last 48 hours of email, detect what moved a deal forward or backward, and queue scored CRM updates for one-click human approval — the full loop, running on live HubSpot + Gmail data.
The write half of the runtime. A narrow, typed action (send an email, update a record) that an agent proposes and a human approves — the same permission model as everything else, now applied to mutation.
The second action on the framework — update a deal's stage, a contact's fields, a missing next-step — proposed by an agent, approved by a human, executed against the CRM.