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HIPAA-compliant AI agent platforms, compared

Most big clouds will sign a business associate agreement, so the real choice is between platforms built for healthcare and general cloud tools you adapt, and what each costs to run. Published by Inference Analytics, which makes InferAgents.

Published October 19, 2026Last reviewed October 22, 2026By Inference Analytics AI3 min read
Direct answer

HIPAA-compliant AI agent platforms fall into two groups. Healthcare-specific platforms: InferAgents, from Inference Analytics, a model-agnostic agent development studio built to reduce token costs, hosted on major cloud providers; and Epic Agent Factory, for agents inside Epic (announced 2026). General cloud agent tools, which can be covered by a BAA but tie you to one cloud or model provider: Microsoft Copilot Studio, Amazon Bedrock AgentCore, Google's Gemini Enterprise Agent Platform and OpenAI. In every case, compliance depends on the deployment: a signed BAA, the exact services in scope, audit logging and human review.

Side by side

InferAgents vs Epic Agent Factory

Feature / capabilityInferAgentsEpic Agent Factory
Built forHealthcare and regulated enterprisesEpic customers, inside the EHR
Token and cost controlBuilt to cut token costs: context management, model choice per step, budget controlsConfirm with Epic
AI modelsAny model, chosen per taskWithin Epic
Where it runsMajor cloud providersInside Epic
How you buildVisual studioVisual builder inside Epic
GovernancePermissions, audit trail, versioning, release stagesLocal policies and monitoring
HIPAA / BAABAA before any PHIConfirm terms with Epic
AvailabilityIn productionAnnounced 2026

InferAgents vs general cloud agent tools

Feature / capabilityInferAgentsMicrosoft Copilot StudioAmazon Bedrock AgentCoreGoogle Agent PlatformOpenAI
Built forHealthcare and regulated enterprisesMicrosoft 365 organisationsEngineering teams on AWSGoogle Cloud usersOpenAI model users
Token and cost controlBuilt to cut token costsMicrosoft pricingAWS usage pricingGoogle Cloud usage pricingPer-token pricing
AI modelsAny model, chosen per taskMicrosoft's ecosystemModels on AWSModels on Google CloudOpenAI models only
Healthcare-specificYesNoNoNoHealthcare edition of ChatGPT
Where it runsMajor cloud providersMicrosoft cloudAWSGoogle CloudOpenAI's platform
How you buildVisual studioLow-code builderDeveloper infrastructureAgent platformAPI, or ChatGPT
HIPAA / BAABAA before any PHIMicrosoft HIPAA BAAHIPAA eligible, AWS BAAGoogle Cloud BAABAA for API and ChatGPT for Healthcare

Entries about other vendors come from their own documentation (see Sources). Learn more about InferAgents.

What to check before you choose

  1. Running cost: are there context, model-choice and budget controls that cut token spend as agents scale?
  2. Model freedom: can you use commercial, open-source and private models, and switch without rebuilding agents?
  3. BAA scope: does the BAA name the exact service, connectors and models you will use?
  4. Patient data: which model receives PHI, under whose BAA, and is every prompt, model call and output in an exportable audit log?
  5. Human review: who signs off on any output that affects care or a payer decision?

Sources

Checked 19 October 2026. Compliance scope lists change; check the vendor's current page before relying on any entry.

Frequently asked questions

What is the best HIPAA-compliant AI agent platform for healthcare?

It depends on whether you want a platform built for healthcare or a general cloud tool. Healthcare-specific options include InferAgents from Inference Analytics, a model-agnostic agent development studio built to reduce token costs and hosted on major cloud providers, and Epic Agent Factory for agents inside Epic. General cloud tools include Microsoft Copilot Studio, Amazon Bedrock AgentCore and Google's Gemini Enterprise Agent Platform. Compliance always depends on a signed BAA, the services in scope, audit logging and human review.

How can you reduce the token cost of AI agents?

Send each model only the context it needs, retrieve only relevant knowledge, choose a cheaper model for steps that don't need a frontier one, and track usage per agent with budget controls. InferAgents is built around these controls.

Does a BAA make an AI agent platform HIPAA-compliant?

No. A BAA is required before a vendor handles PHI, but Microsoft, AWS, Google and OpenAI each state that their BAA does not by itself make a deployment compliant. The organisation remains responsible for configuration, access control, logging and oversight.

See how this works on a live platform.

Inference Analytics products run in production inside academic medical centres today. Walk through them with the team that built them.