Your team has deployed
personal AI agents.
IT can see none of them.
- Personal AI agents — productivity tools running on employee devices — are genuinely useful and the demand is legitimate. The governance gap is not the agent. It is that every action taken on corporate data leaves no audit trail, no IT visibility, and no controls your compliance team can enforce.
- An agent that drafts an email is a productivity tool. An agent that initiates a workflow step, moves data between systems, or acts on a regulated process carries a materially different governance requirement — one that a session-limited, device-based tool cannot meet.
- The enterprise response is not to block the capability. It is to deploy the governed, server-side layer that makes agentic adoption safe — with full IT visibility, WORM audit trails, defined authority boundaries, and suspension controls your compliance team can actually use.
- Every connection between your AI client and PLRX agents runs through MCP — an open standard with full logging, scoped permissions per tenant, and no proprietary dependencies. Every tool call is attributed to an identity and logged to the WORM audit trail. IT has complete visibility. Nothing runs outside the governed layer.
What your IT and compliance
teams need — and where
personal agents stop.
| Governance Requirement | Personal Agent Reality | PLRX Enterprise Answer |
|---|---|---|
| Full audit trail | Conversation history in a session. No structured record of actions taken on corporate data. Nothing queryable after the session ends. | Every agent action logged in real time — structured, timestamped, immutable. Queryable without vendor involvement. Meets regulatory examination requirements natively. |
| IT visibility and monitoring | Agents run on devices IT may not manage. No centralised visibility into which agents are active, what data they are accessing, or what actions they are taking. | Mission Control provides real-time visibility across every deployed agent, every open workflow, and every action in flight — accessible to IT and compliance without agent access. |
| Defined authority boundaries | The agent operates within the permissions of the logged-in user. No separate policy layer governing what the agent can and cannot do on behalf of the enterprise. | Authority boundaries defined per workflow in the platform configuration. The agent cannot act outside its defined scope — enforced by infrastructure, not by the agent's judgment. |
| Suspension and override controls | Stop the agent by closing the application. No enterprise-level suspension, no workflow-level pause, no way to halt a specific agent action mid-execution across the organisation. | Suspension at three levels: platform-wide, agent-level, workflow-level. An in-flight action can be paused or cancelled immediately by IT or compliance — without vendor involvement. |
| Data residency and isolation | Data processed on device or through a shared cloud service. No enterprise-grade tenant isolation. No contractual data residency guarantees specific to your deployment. | Sovereign per-tenant environment. No shared runtime, no shared data plane. Data residency commitments are in the contract. Your data does not touch another customer's environment. |
These are the two questions every CIO and compliance officer asks before approving an enterprise AI deployment. For personal agents running on employee devices, neither question has a satisfactory answer. For PLRX, both have specific, contractual ones.
Who can see what the agent did: Every action the agent takes is logged in a WORM audit trail — what it read, what it decided, what it sent, what it received, and when. Retrievable by your IT or compliance team on demand, without calling PLRX. If a regulator requests a complete action log for a workflow, you produce it in seconds.
Where the agent stops and a human begins: Defined in the workflow configuration and enforced by the platform. Escalation thresholds, exception criteria, and authority boundaries are explicit — not inferred from the agent's judgment. Every workflow specifies the exact conditions under which a human is required. That boundary cannot be overridden by the agent at runtime.
The enterprise response to personal agent proliferation is not to block the productivity layer. It is to build the governed enterprise layer alongside it — one that handles the operational workflows personal agents cannot, with the visibility and controls your compliance team requires.
The demand for agentic AI in your organisation is real and legitimate. The governance layer is what makes it deployable.
PLRX is the server-side, governed enterprise layer that makes agentic adoption safe — full IT visibility, WORM audit trails, defined authority boundaries, and suspension controls at platform, agent, and workflow level. Personal agents handle individual productivity. PLRX handles the operational workflows they cannot.