An AI procurement agent proposes an £85,000 order with a supplier that has not been approved.
PF SystemsOperational authority for agentic AIStart with one workflow PF Systems provides modular governance software for organisations using AI to move money, change software, handle sensitive data or control machines. It separates the intelligence proposing an action from the authority deciding whether that action may proceed.
The operational problem
A policy cannot govern an action if the operating system never applies it.
Modern AI can interpret information, plan work and call tools. It remains probabilistic: a capable system can still misunderstand context, exceed its intended scope or act on incomplete information.
Conventional governance often describes responsibilities before deployment and reviews logs afterwards. Consequential workflows also need a control boundary at the point where a proposed action could create a real effect.
Procurement example · Step Up
One proposed action. One governed consequence.
PF Kernel holds the order and routes the exact action to the authorised approver because the supplier status and value exceed delegated authority.
The request, relevant context, authority, decision and eventual effective action remain linked for review.
Govern the action, not merely the conversation
Prompt controls and model safeguards remain useful, but they do not answer every operational question. PF Systems evaluates the proposed business action against the organisation's authority before consequence is created.
- Allow routine work.
- Deny actions outside authority.
- Modify excessive scope.
- Step Up for additional authority or evidence.
- Stop the Line when a wider halt condition applies.
Use the smallest useful deployment
PF Systems is modular. An organisation may deploy PF Kernel as a compact decision boundary, add PF Core for linked evidence, use the full PF OS triad or connect an existing estate through ClientBridge.
Begin without surrendering production control
A controlled shadow pilot observes proposed actions and governed outcomes without taking the live action. It gives the customer evidence for a go, change, gather-more-evidence or stop decision. Production remains a separate gate.
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