A coding agent prepares a production deployment but lacks release authority.
PF SystemsOperational authority for agentic AIStart with one workflow PF Core preserves a linked account of the request, relevant context, authority, decision and effective action. Its purpose is to support traceability, checking and deterministic replay of the governed evaluation.
The operational problem
Activity records are not automatically an adequate evidence chain.
A timestamped tool call may show that an event occurred without showing who requested it, what the governed workflow knew, which authority applied or how the effective action differed from the original proposal.
Software release example
One proposed action. One governed consequence.
PF Kernel returns Step Up. The change remains staged until authority is supplied for the exact release action.
PF Core links the proposed change, target environment, decision, approval evidence and effective action for later inspection.
Trace the governed event
PF Core preserves the material needed to examine the path from request to outcome. PF Trace may display that received evidence to an authorised operator.
Replay the governed evaluation
Deterministic replay applies to the governed evaluation and its captured material. PF Systems does not claim that PF Core makes the underlying probabilistic AI deterministic.
Evidence has a boundary
PF Core records what the system receives and produces. It does not manufacture missing facts, certify a deployment or replace independent assurance.
A controlled first step
Which AI action should your organisation govern first?
Start with one consequential workflow, its authority boundary and the evidence needed afterwards.
Request a governed AI briefing