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AI Agents for Healthcare Operations

We build AI agents for administrative healthcare work, and we are specific about what that excludes. We do not build systems that make clinical decisions, that produce documentation entering the chart without clinician attestation, or that communicate clinical information to patients without human review.

$80,000 - $200,000

Per agent. 8 to 16 weeks.

Inside those boundaries there is a great deal of genuinely valuable work: reading unstructured documents, drafting appeals from evidence, classifying and routing inbound work, and reconciling data across systems that disagree.

Every agent we deliver is built with an explicit scope of authority, a defined escalation path, and complete action logging. If it cannot be audited, we do not ship it.

What you receive

A scoped agent with defined authority

What the agent may do, what it must escalate, and what it may never do, specified in writing and enforced in code rather than in the prompt.

Human review workflow

A review interface built for the people who will use it, with the evidence behind each agent action presented alongside it.

Complete action audit log

Every input, decision, output, and escalation logged with enough context to reconstruct why the agent did what it did.

Evaluation harness

A test set drawn from your real cases, with accuracy measured before deployment and monitored continuously after.

PHI handling architecture

Documented data flow for every model call, covered by BAA, running on infrastructure you approve.

Fallback behavior

Defined behavior when the agent is uncertain, when the model is unavailable, and when input falls outside its scope.

How the engagement runs

In order, with what happens at each point stated plainly.

  1. Define the boundary

    Scope of authority, escalation rules, and prohibited actions written down and reviewed by your compliance officer before build.

  2. Build the evaluation set

    Real historical cases with known correct outcomes, assembled before development so accuracy is measurable rather than asserted.

  3. Build and measure

    Development against the evaluation set, with accuracy and failure modes reported honestly at each increment.

  4. Shadow run

    The agent runs alongside your existing process without acting, so you can compare its output to human output on live volume.

  5. Deploy with review

    Production deployment with mandatory human review, relaxed per category only where the shadow data supports it.

  6. Monitor continuously

    Ongoing accuracy monitoring against the evaluation set, because model and input distribution both drift.

This is a good fit when

  • High-volume administrative work with a clear correct answer
  • Document-heavy workflows such as referrals, denials, and outside records
  • Organizations able to staff a human review step
  • Work where escalation to a human is acceptable and defined

This is the wrong engagement when

  • Any clinical decision making, triage judgment, or diagnostic support
  • Documentation entering the chart without clinician attestation
  • Low-volume workflows where the evaluation effort exceeds the return
  • Organizations unwilling to staff review, which is the honest disqualifier

If any of these describe you, say so on the call. We would rather scope a smaller engagement correctly than a larger one badly. (307) 454-0600

Common Questions

Does PHI go to a general-purpose model provider?

Only under an executed BAA with that provider, with the data flow documented and approved by you first. Where you prefer, we deploy models inside your own cloud tenant so no PHI leaves your infrastructure at all.

What accuracy should we expect?

It depends entirely on the task, and we measure rather than promise. Every engagement builds an evaluation set from your real cases first, and we report accuracy against it before you deploy. If it does not clear your threshold, we say so.

Can the agent operate without human review?

For narrow, low-risk categories, after shadow-run data supports it, and never for anything touching clinical content or patient communication. Review is relaxed per category on evidence, never as a default.

Request this engagement.

Tell us about the organization and the workflow. We will come back with a scope, a timeline, and an honest read on whether this is the right starting point.

Or browse the workflows we automate first.

Do not include protected health information in this form. We execute a business associate agreement before any PHI or workflow detail is shared.

Start with a conversation, not a proposal.

A 45-minute call with a senior engineer. We will tell you honestly whether automation is the right answer for the workflow you have in mind.