CIO · Compliance · Shadow AI Governance

AI is running
across your operations.
IT can see none of it.

Employees are using AI tools on regulated operational workflows — prior authorizations, claims processing, loan applications, client communications — with no IT visibility, no audit trail, and no controls your compliance team can inspect or enforce.
The risk is not that employees are using AI. The risk is that AI is acting on your behalf, on your data, in your regulated workflows — without the governance infrastructure that enterprise deployment requires.
The enterprise response is not to block AI adoption. It is to deploy an AI layer that your IT and compliance teams can actually govern — server-side, auditable, with defined authority boundaries and suspension controls.
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.

94% autonomous resolution From $0.99 per mission Enterprise Agentic

Book a Scoping Call

See the governed layer.

Tell us which AI tools your operations team is using without IT governance. Proof of concept in 2–3 weeks — production in 12 weeks.

First Name Required.

Last Name Required.

Work Email Please enter your corporate email address.

Company Required.

Job Title Required.

Something went wrong. Please try again or email [email protected].

By submitting you agree to our Privacy Policy. We never sell your data.

Request received.

Someone from the PLRX team will be in touch within two business days to schedule your scoping call.

Uncontrolled vs Governed AI in Operations

Shadow AI / Uncontrolled Tools

IT visibility

None. Tools run on employee devices or through personal accounts. IT cannot see what is running, what data it is accessing, or what actions it is taking.

Audit trail

None. Conversation histories are not structured compliance records. Actions taken on regulated data leave no queryable audit trail.

Authority boundaries

None enforced. The tool operates within the permissions of the logged-in user. No separate policy layer governs what it can do on behalf of the enterprise.

Data residency

Unknown. Data processed through shared cloud services, personal accounts, or tools without enterprise data agreements. PHI or sensitive data exposure is unquantifiable.

Risk profile: accumulating quietly · Compliance exposure: unquantified · IT position: reactive when an incident occurs

PLRX Enterprise AI Agents

IT visibility

Complete. Every agent, every workflow, every action visible in Mission Control. Real-time visibility for IT and compliance continuously.

Audit trail

WORM audit trail on every action. Every decision logged in real time — structured, timestamped, immutable. Retrievable without vendor involvement.

Authority boundaries

Platform-enforced boundaries. Escalation thresholds and authority limits defined per workflow, enforced at the infrastructure layer. Cannot be overridden at runtime.

Data residency

Sovereign per-tenant environment. No shared runtime or data plane. Data residency contractually committed. PHI handling as a design constraint.

Governance: from day one · Audit trail: complete and queryable · IT position: proactive visibility and control

The Governance Gap — What Enterprise AI Deployment Requires

What governed AI deployment
provides that shadow AI cannot.

Requirement	Shadow AI Reality	PLRX Answer
Audit trail for regulated workflows	No structured record of agent actions on regulated data. Cannot answer a regulator's question about what AI did on a specific transaction.	WORM audit trail on every agent action — queryable by workflow, by date, by agent. Regulatory examination ready from day one.
Defined escalation to human judgment	No governance layer. AI acts within the permissions of the user session, without enterprise-defined authority boundaries.	Authority boundaries defined per workflow. The platform enforces what the agent can and cannot do. Human escalation is explicit, not a fallback.
Data does not train third-party models	No contractual guarantee. Regulated data may flow into model improvement pipelines without enterprise awareness.	Contractual commitment: customer data never used for model training. Sovereign tenant environment. No data shared with other deployments.
Suspension controls	Stop the AI by closing the application. No enterprise-level suspension, no workflow-level halt, no way to stop a specific action mid-execution across the organisation.	Three-level suspension: platform-wide, agent-level, workflow-level. Immediate. Without vendor involvement. Complete record of the state at suspension.
BAA and compliance certification	Personal and departmental AI tools typically operate without the enterprise data agreements required for regulated industry deployment.	BAA available before any PHI is processed. HIPAA, SOC 2, and GDPR compliance architectural — not a configuration tier.

CIO · Compliance · The Question That Determines Enterprise Deployability

Who can see what the agent did — and where does the agent stop and a human begin?

These are the two questions every CIO and compliance officer needs answered before approving any AI deployment on regulated operational workflows. Shadow AI tools cannot answer either. PLRX answers both specifically.

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 IT or compliance on demand, without contacting PLRX.

Where the agent stops and a human begins: Defined in the workflow configuration and enforced by the platform. Escalation conditions are explicit, not inferred. The boundary cannot be overridden at runtime by the agent or the user.

The enterprise response to shadow AI proliferation is to deploy a governed alternative — one that delivers the productivity benefit with the governance infrastructure regulated environments actually require. Not to block adoption.