Managed Agents · run by CipherHealth

Production agents that already know the rules.

Managed agents are deployed and operated by CipherHealth on top of your governance and context—so hospitals prove value in real workflows without every department inventing its own agent stack.

Agent inventory
Live
Heart failure discharge follow-up
Patient outreach
Attention
Referral navigation
Patient access
Healthy
Policy operations copilot
Governance
Blocked
Always supervised

Clinical, privacy, and security reviewers stay in the loop on every sensitive boundary.

Discharge follow-upReferral navigationOperations copilotsHuman escalationCited run evidenceVersion rollbackPHI scope enforcedQA samplingDischarge follow-upReferral navigationOperations copilotsHuman escalationCited run evidenceVersion rollbackPHI scope enforcedQA sampling

What every managed agent inherits

The guardrails come built in.

Managed agents don't start from a blank prompt—they start from your governance and context.

Governed from the start

Every managed agent inherits intake, risk tier, approvals, and monitoring obligations from Governance.

Grounded in Context

Agents run only against approved Context relationships, with PHI scope enforced at retrieval.

Trigger-aware

Schedules, source events, portal requests, and manual runs—each with its own review requirement.

Run history & evidence

Every run captures outcome, cited evidence, warnings, and reviewer notes for audit and QA.

Human escalation paths

Clinical, privacy, and security owners with handoff queues and SLAs keep a person in the loop.

Versioned & reversible

Published versions, change summaries, and rollback targets make every change safe to ship.

A look inside the fleet

Real workflows, real oversight.

A snapshot of managed agents from the demo workspace—each with its own triggers, health, and review posture.

The life of a run

Every execution stays inside policy.

From trigger to logged outcome, a managed run can't step outside the governance it inherited.

1
A trigger fires

A schedule, ADT event, portal question, or staff-initiated run kicks off a supervised execution.

2
Approved context loads

The agent pulls only the relationships and fields it's cleared for—nothing outside policy.

3
Policy guards the response

Model policy, prohibited behaviors, and sensitivity limits shape what the agent can say or do.

4
Humans review the edges

Clinical, PHI, or external-action boundaries pause the run and route to the right reviewer.

5
Outcome is logged for QA

Cited evidence, warnings, and reviewer notes land in the run history and monitoring signals.

24/7
Managed monitoring
100%
Runs cite their evidence
0
Ungoverned production agents
1
Escalation path per agent

Explore the suite

Managed agents are one part of Catalyst.

Put a governed agent into a real workflow.

Open the demo to explore the inventory, drill into a single agent's triggers, runs, governance, and escalation.

Catalyst — AI tools for healthcare