CareOSP AgentOS

AI That Works Within Healthcare, Not Around It

Governed AI Workers for Care Operations

AI is a first-class execution layer in CareOSP — with governed agents, review queues, provenance, evaluation, and market-specific safety controls. Not a copilot bolted on. A governed AI workforce built into the operating model.

AI Capability Tiers

CareOSP organises AI capabilities into governed tiers — each with appropriate review, approval, and safety controls.

Tier 1Retrieval & Summarisation

Chart prep, referral summaries, encounter summaries, handover digests

Tier 2Drafting & Extraction

Draft notes, outreach, intake field extraction, prior-auth packets, coding hints

Tier 3Prioritisation & Routing

Queue prioritisation, staffing suggestions, escalation ranking, outreach sequencing

Tier 4Clinically Influential

Risk suggestions, deterioration cues, medication follow-up, triage suggestions

Tier 5Potentially Regulated

Separate regulatory workstream — not generally released by default

AI Workforce

10 Governed AI Workers

Purpose-built agents for care operations — each with defined goals, approval flows, and performance measurement.

Referral Intake Agent

Reads inbound referrals, extracts facts, flags missing items, and suggests triage priority.

Patient Concierge Agent

Handles common patient questions, booking guidance, appointment reminders, and self-service navigation.

Documentation Agent

Drafts clinical notes, visit summaries, transfer summaries, and discharge packs for human review.

Care Coordination Agent

Watches open pathways, overdue tasks, and unanswered messages — surfaces what needs attention now.

Medication Adherence Agent

Monitors refill gaps, missed doses, and reported side-effect issues across patient cohorts.

Prior-Auth Agent

Assembles supporting documents, maps checklist items, and drafts clinical rationale for authorisation requests.

Quality Auditor Agent

Reviews documentation completeness, identifies policy deviations, and flags audit gaps.

Coding and Revenue Agent

Suggests procedure and diagnosis codes, completeness improvements, and revenue leakage flags.

Inbox Triage Agent

Clusters, prioritises, and routes incoming tasks, messages, and clinical alerts to the right person.

Executive Analyst Agent

Generates weekly performance narratives, anomaly explanations, and operational trend summaries.

What Sets CareOSP Apart

AI Differentiators

Built different from the ground up — not a wrapper around a chat API.

Care Graph-Grounded Reasoning

AI operates over a structured patient/task/medication/message graph — not raw text dumps. Grounded context means fewer hallucinations and more relevant outputs.

Agent Studio

Admins configure agent goals, approval rules, and prompt behaviour through a visual interface — no code required.

Simulation and Replay

Test workflow and AI changes against historical event streams before deploying to production. Validate before you ship.

Evidence by Default

Every AI action stores full provenance: sources consulted, decision path taken, and the reviewer who approved it.

Outcome-Linked Learning

Agent performance is measured on closed-loop outcomes — contact success rates, overdue reduction, and time saved — not just output volume.

Multi-Channel Patient AI

One governed conversational layer across patient portal, SMS, email, voice, and mobile app — consistent, safe, and auditable.

Governance

AI Governance Built In

Every AI interaction in CareOSP is traceable, reviewable, and controllable. Governance is not a bolt-on — it is the foundation the AI layer runs on.

  • Every AI output records model, provider, version, prompt template, input references, and timestamp
  • PHI minimisation and redaction before model invocation
  • Model registry, prompt registry, feature flags, and market-specific restrictions
  • Evaluation harnesses for quality, hallucination rate, safety, and override rate
  • Review queues, rollback capability, feedback capture, and incident handling
  • Tenant-specific policy overrides for agent autonomy and review thresholds

Governance Stack

Model Registry
Track providers, versions, capabilities
Prompt Registry
Version-controlled prompt templates
Feature Flags
Market and tenant-level controls
Evaluation Harness
Quality, safety, hallucination scoring
Review Queues
Human approval before clinical action
Audit Trail
Immutable log of every AI decision
Non-Negotiable

Hard Safety Boundaries

These boundaries are enforced at the platform level. They cannot be overridden by configuration, tenant policy, or agent behaviour.

No AI autonomously prescribes, discontinues, or alters medication
No AI silently writes to the legal clinical record
Clinically influential outputs require human review before action
All submissions to the clinical record remain human-accountable

Ready to See Governed AI in Action?

Start a pilot with CareOSP and see how AI workers integrate into your care operations — with full governance, provenance, and human accountability from day one.