Give AI useful context without turning memory into authority.

PF Memory supplies relevant, governed context to an AI workflow, including where information came from, whether it remains current and which permissions apply. It can govern an existing memory or retrieval system already in place; replacement is optional. It does not decide or execute actions.

Discuss one workflow See a concrete example

The operational problem

More context is not always better context.

AI systems can act on stale, contradictory, unauthorised or poorly sourced information. They can also consume large volumes of repeated context when only a small relevant subset is needed. A governed knowledge layer should help the workflow distinguish what may be used, under which conditions and with what origin.

Customer service example

One proposed action. One governed consequence.

01 · Proposed action

An AI assistant prepares an action using customer information and an operational procedure.

02 · Governed response

PF Memory retrieves the relevant governed context from the organisation’s existing knowledge environment. PF Kernel—not PF Memory—decides whether the proposed action may proceed.

03 · Evidence

PF Core can preserve the relevant context references alongside the resulting decision and effective action.

See what an operator can inspect in PF Trace

Wrap what already exists

PF Memory can sit over an existing memory, vector store, retrieval service or organisational knowledge source. It governs the context supplied to the workflow without requiring the customer to discard the store or platform already in use.

Retrieve what the task needs

Selective retrieval is intended to reduce unnecessary context transmission and token consumption by supplying relevant governed material rather than repeatedly injecting an entire retained corpus. The actual reduction is workflow-specific and should be measured against the customer’s baseline.

Knowledge remains attributable—not authoritative

Governed context retains origin, permissions and lifecycle information for later review. PF Memory knows, but it never becomes the final PF decision authority and does not execute the action it helps contextualise.

PF Memory · a governed layer

Keep the memory. Govern what reaches the AI.

PF Memory does not require a customer to move every retained item into a new platform. It can sit between an existing memory or retrieval service and the AI workflow, supplying relevant governed context while preserving a clear authority boundary.

Customer systemExisting memory or retrieval service

Remains the customer's knowledge store.

Governed layerPF Memory

Applies context origin, permissions and lifecycle.

Task inputRelevant governed context

Only the material appropriate to the workflow is supplied.

Customer workflowExisting AI or agent

Uses context, but does not receive authority from memory.

Without selective retrievalRepeated broad context

Large or repeated context payloads can consume tokens without improving the current task.

With PF MemoryTask-relevant governed context

Selective retrieval is designed to reduce unnecessary context transmission. The saving is measured against each customer workflow rather than guaranteed in advance.

Authority stays separate. PF Memory supplies governed context. PF Kernel decides whether a resulting action is permitted; PF Core may preserve the context references used in that governed evaluation.

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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