Platform / AI Studio

Building a proof of concept is easy. Operationalizing it isn't.

Autonomize AI Studio™ bridges the gap between a promising prompt and a system your organization can trust, govern, monitor, and scale across clinical and administrative workflows.
OUR APPROACH

Designing intelligence, not just workflows.

Traditional workflow tools move information from one step to the next. AI Studio coordinates intelligence across complex processes, combining models, enterprise knowledge, business rules, APIs, evaluation, and human review into one governed system, not multiple disconnected tools.
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Make every healthcare expert an AI builder with Autonomize Genie AI™

Clinicians, care managers, and operations teams can now describe a workflow in plain language and Genie AI works its magic: turning that description into a governed, production-ready workflow, drawing only on approved capabilities, data sources, agents, and integrations already managed in the platform.
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How AI STUDIO Works

Build AI visually. Deploy it reliably.

AI Studio enables organizations to visually design AI-powered workflows by orchestrating models, agents, enterprise knowledge, retrieval systems, business logic, connectors, evaluation frameworks, and human oversight. Every workflow can be tested against ground truth, governed through enterprise controls, monitored in production, and continuously optimized using operational feedback and performance data.
Models

Frontier, domain, and private models

Route across LLMs, healthcare-tuned SLMs, and fine-tuned private models, chaining separate models for extraction, interpretation, and decisioning to balance cost and accuracy.
Tools

Connected to real healthcare systems

Prebuilt connectors give agents access to FHIR resources, claims systems, utilization management platforms, policy repositories, and document stores, so decisions are grounded in evidence, not model inference alone.
Retrievers

Policy-aware retrieval

Pull from clinical guidelines, payer policy repositories, and knowledge bases at the moment reasoning needs them, not baked into a static prompt.
Memory

Context for every decision

Structured memory keeps Agents aware of active cases, member history, prior interactions, and workflow state, so decisions reflect the full context, not just a single request.
Evaluators

Trust, measured continuously

Every Agent is measured against trusted ground truth across four dimensions: decision accuracy, reasoning quality, operational performance, and safety/policy compliance, for the life of the agent, not just before launch.
Human-in-the-Loop

Checkpoints by design

Escalation points are modeled into the graph itself, so complex cases hand off to a reviewer with full clinical reasoning intact.
Technical Capabilities

Built for teams who have to defend their AI, not just demo it.

Trust is measured, not assumed. Every capability below exists so a health plan's technical and compliance leaders can answer "how do you know it's working" with evidence, not assurances.

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01

Intelligent model routing

No single model is best for every healthcare workflow. Route extraction, policy interpretation, and decision logic to the frontier LLM, domain SLM, or private fine-tuned model best suited to each step.
02

Ground-truth evaluation datasets

Evaluate against clinician-validated prior authorization decisions, nurse-reviewed care management assessments, and manually adjudicated claims, not generic benchmarks.
03

Four-dimension evaluation framework

Every agent is scored on decision accuracy, reasoning quality, operational performance, and safety/policy compliance, continuously, not just before launch.
04

Full execution traceability

Every run traces source documents, extracted facts, retrieval results, applied policy, and reasoning to a final determination, so failures are localized, not guessed at.
05

Continuous learning lifecycle

Monitor → Diagnose → Improve → Validate → Deploy. Agents adapt as policies, regulations, and clinical guidelines change, instead of drifting until an audit catches it.
06

Staged governance

Role-based access, approval workflows, audit logging, and version management guide every agent from sandbox to pilot to production. Nothing ships without meeting defined performance and compliance requirements.
07

Trust and compliance by design

Built for regulated environments with PHI/PII protection, prompt injection defenses, comprehensive audit trails, and governed, versioned, clinically-reviewed prompt management.
08

Configurable human oversight

Insert review checkpoints at any point in a workflow, scaled to the risk, complexity, or regulatory requirement of the decision being made.

Don't settle for incremental automation.

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