Before money moves, authority should be explicit.

AI can prepare orders, prioritise transactions and recommend payments. PF Systems places an independent authority boundary around the consequential action so useful work can continue without treating technical access as spending authority.

Discuss one workflow See a concrete example

The operational problem

A persuasive recommendation is not approval to spend.

Finance workflows combine material consequence, delegated limits, supplier status, separation of duties and evidence requirements. An AI agent may understand the commercial objective while still proposing an action outside its authority.

£85,000 procurement decision

One proposed action. One governed consequence.

01 · Proposed action

Place an £85,000 order with a supplier that has not yet been approved.

02 · Governed response

PF Kernel returns Step Up, holding the order and presenting the exact proposal to the authorised approver.

03 · Evidence

The approver sees the amount, supplier status, relevant authority, available context and the action that will actually take effect if approved.

See what an operator can inspect in PF Trace

Use proportionate outcomes

A routine authorised payment may proceed. Excessive value may be modified. Missing approval can Step Up. A prohibited counterparty can be denied. A wider control condition can Stop the Line.

Preserve the difference between proposal and execution

The original AI proposal and the effective action should remain distinguishable, especially when scope, value, counterparty or timing changes.

Begin in shadow

A controlled shadow pilot can compare governed recommendations with existing decisions without permitting PF Systems to move money or issue live orders.

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.

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