INDUSTRY · HEALTHCARE

What AI agents can do inside a healthcare provider

A clinical-admin help desk, medical-billing review, clinical case summarization for the care team. This is what an AI agent can do inside a healthcare provider, on-prem or air-gapped, where clinical data never leaves the network and a clinician stays in the loop.

Inside your own systems Clinical data never leaves Clinician in the loop On-prem or air-gapped
These are workflows an AI agent can run. The exact scope is defined with your team
WHAT AI AGENTS CAN DO

Three workflows, from quick win to company-wide

Start with one workflow that pays for itself, then expand on the same private, governed platform. No new vendor cycle each time.

01 · START · HELP DESK

Internal clinical-admin help desk

Answer staff on processes, payer agreements, coding and scheduling (citing the internal source), so coordinators stop fielding the same questions.

asksearch processcite policyanswer
02 · EXPAND · BILLING

Medical-billing coding and account review

Read the account and discharge summary, code it, validate against the fee schedule and the payer agreement, and flag likely rejections before the claim is submitted.

read accountcodevalidate fee scheduleflag rejectionapprove
03 · SCALE · CLINICAL SUMMARY

Clinical case summarization for the care team

Synthesize the patient record (history, labs, imaging reports) for the treating team and case committee, always with a physician in the loop and every step audited. On-prem or air-gapped.

gather recordsummarizehighlight risksphysician reviewaudit
SCOPE

These are workflows a Fogoarai AI agent can run inside a healthcare provider. They are illustrative of the capability. The exact workflow, systems and success metric are defined with your team. Fogoarai already has use cases running in production today.

HOW FOGOARAI DOES IT

The same engine behind every workflow

In healthcare, clinical data cannot leave the network and a clinician must stay accountable. Governance is the precondition for everything.

GOVERNANCE · LEADS HERE

Governance and compliance

Every action is tied to a real user, gated by policy, approved where it matters, and recorded in an immutable audit trail your security and compliance teams can review.

RAG · KNOWLEDGE

RAG · knowledge synthesis

Agents read your internal archive (documents, manuals, regulations, prior cases) and answer with citations to the source. Private embeddings, served locally inside your network.

DATABASES · NL→SQL

Database reads · NL→SQL

Ask your databases in plain language. A fine-tuned local model turns the question into validated SQL. No BI ticket, and no data leaves the network.

SMALL MODELS

Agents trained on small models

Small specialized models handle the repetitive work (classify, extract, validate, summarize) at a fraction of frontier cost, escalating to frontier models only when the task needs it.

See how the engine works in depth
GOVERNANCE

Built to pass your security review

Built around clinical-data protection (Ley 19.628) and the oversight of the Superintendencia de Salud. Clinician accountable, every step recorded.

G.01Role-based access controlACTIVE
G.02Tool allowlists and action boundariesACTIVE
G.03Human-in-the-loop approval flowsACTIVE
G.04Full audit logs for model + tool callsACTIVE
G.05Structured output validationACTIVE
G.06Sensitive data redactionACTIVE
G.07Versioned prompts, models, policies, workflowsACTIVE
G.08Evaluation gates before production deploymentACTIVE
G.09Continuous monitoring after deploymentACTIVE
See the full governance model
GET STARTED

Put an AI agent to work inside your provider

Start with an internal help desk (no clinical data, easy to scope), then expand into billing review and clinical summaries, always with a clinician in the loop.

Goes straight to the founder. No sales team
PILOT WORKFLOWone workflow · scoped together
DURATION90 days
DEPLOYMENTyour VPC or on-prem

DATAstays inside your network
APPROVALSyour people, your rules
SUCCESS METRICcost saved · quality held

STATUS● READY TO SCOPE