Deploy a prepared software change directly into production.
PF SystemsOperational authority for agentic AIStart with one workflow Coding agents can inspect repositories, run commands and prepare deployments. PF Systems governs the consequential boundary between a capable software agent and the production action it proposes.
The operational problem
Credentials frequently carry more technical reach than the workflow should delegate.
An agent may be permitted to prepare code and run tests while lacking authority to change production, access sensitive credentials or modify every repository it can technically reach.
Production release · Step Up
One proposed action. One governed consequence.
PF Kernel holds the release and requires action-bound authority from the release owner while leaving the tested change staged.
The proposal, target environment, tests supplied, authority decision and eventual effective action remain connected.
Govern tool calls by consequence
Reading documentation, preparing a patch, changing a test environment and releasing to production need not share one authority level.
Keep the model and coding tool replaceable
ClientBridge can connect different agent frameworks and software tools while PF Kernel retains the governed decision role.
Use evidence to improve delegation
Shadow operation and Proof Harness testing can reveal which actions should remain routine, be modified, require Step Up or be denied before a production decision is made.
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