Production AI fails when governance is postponed. Agentra designs data access, approval rules, exception queues, audit logs, and ownership before the workflow goes live.
The diagnostic identifies which systems, fields, records, and users are required for one workflow. Access is scoped to the agreed slice, not a broad transformation wishlist.
Agentra separates low-risk automation from decisions that require review, approval, escalation, or exception handling.
Audit logs and exception queues make the workflow operable after launch. They also help leadership see whether the workflow is improving or creating risk.
The implementation approach depends on client systems and security requirements, but production design avoids casual data exposure and documents model/data boundaries.
No, not for a real deployment. The diagnostic can start with screenshots, exports, and process walkthroughs, but a live workflow requires controlled access to the agreed systems.
Yes. Material workflow actions use human approval rules, exception queues, and logs. Agentra rejects fully autonomous deployment when the risk profile needs review.
Yes. The Workflow Deployment Assessment is the right place to identify access, permission, retention, and governance requirements before a 45-day pod starts.
Agentra will qualify owner, KPI, data, access, approval rules, and deployment readiness before recommending a diagnostic or rejecting the fit.