Context AI

The Shared Context Layer for Healthcare AI

Autonomize Context AI™ connects over 10 million clinically reviewed healthcare concepts with your organization’s policies, rules, and logic, giving agents a shared foundation to deliver consistent, traceable results.
Why context ai

Define Context Once.
Apply It Across Workflows.

Without shared context, every AI agent must reconstruct the meaning of information and how to apply it to each task. That repeated effort slows processing, increases costs, and leaves room for conflicting interpretations. Context AI™ makes that understanding reusable, so teams can put the same governed context to work wherever it is needed.
Intelligence Sovereignty

Your Enterprise Knowledge Stays Yours

Context AI keeps your policies, operating logic, and institutional expertise separate from the models and applications that use them. You govern how it is accessed and applied, so proprietary intelligence does not get used to train third-party LLMs and flow to competitors. 
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How Context AI Works

A Shared Foundation For Every Agent

Autonomize Context AI combines healthcare-native ontologies, real-world clinical and operational knowledge, enterprise-specific rules, and provenance-backed reasoning within a continuously evolving operational intelligence layer.

Start With Healthcare Understanding

Context AI uses a graph of more than 10 million clinically reviewed concepts to recognize how conditions, treatments, benefits, and other healthcare concepts relate, even when systems use different terms.

Add the Rules of Your Organization

Connect your policies, plan details, SOPs, and decision criteria. When an agent handles a case, it can find the applicable guidance and evidence in context, rather than interpret disconnected documents on its own.

Use It Across Workflows

Authorized agents draw on the same governed context to route requests, identify gaps, or prepare recommendations. Each result can be traced to the sources and rules used, while reviewed updates make that context reusable.
benefits

Scale AI Without Scaling Inconsistency

From context modeling through runtime grounding, Context AI gives every agent the same governed understanding, improving how AI reasons, performs, and scales.

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01

Help AI Understand What the Evidence Means

RAG helps AI find relevant text. Context AI connects it to healthcare concepts, policies, rules, and evidence so agents can interpret what applies to each case and act with greater consistency.
02

Apply Your Rules Consistently

Ground agents and workflows in shared definitions, approved sources, and your organization’s operating logic.
03

Reduce Repeated Work and AI Costs

Reuse grounded context instead of repeatedly retrieving documents, rebuilding context, and making unnecessary model calls.
04

Trace Every Recommendation to Its Sources

Connect AI-supported outcomes to the concepts, policies, evidence, and source material that informed them.
05

Choose the Agents and Models That Fit

Apply shared context across Autonomize, internally built, and third-party agents, and change models without rebuilding your institutional knowledge.
06

Extend Context Across the Enterprise

Carry established context into new agents, workflows, and departments instead of rebuilding the foundation for every use case.
Built for Real Healthcare Operations

Shared Context Working in Healthcare Today

Our experience deploying AI at healthcare enterprises representing more than 100 million patient and member relationships taught us that rebuilding context for every use case creates unnecessary work, cost, and inconsistency. That’s why we built Context AI to make validated knowledge reusable across healthcare operations. Today, that shared context is at work in production, powering workflows like those below.

Utilization Management

Ground PA in type, urgency, line of business, and applicable rules. Identify medical policies, coverage determinations, and state mandates in effect on date of service.

Benefit Configuration

Convert evidence-of-coverage and plan documents into structured coverage rules that agents can apply consistently across benefit inquiries, reviews, and claims processing.

Payment Integrity

Compare medication administration records with itemized billing using applicable NCCI edits, HCPCS billing units, and dose-wastage requirements.

Claims, Appeals & Grievances

Apply your organization’s SOPs to claims processing and A&G classifications. Identify the governing policy version and provide an evidence-backed rationale for reviewers.

Pharmacy & PBM

Normalize NDCs across submitted, dispensed, and billed forms. Support prior authorization review with the applicable formulary tiers, step therapy requirements, and quantity limits.

Work With Your Existing AI

Ground Autonomize, internal, and third-party agents in the same context. Use models best suited to each workflow while maintaining consistent access to policies, rules, and evidence.

Don't settle for incremental automation.

Move faster, make better decisions, and operationalize AI across the workflows that matter most.
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