Adopt AI agents with
HIPAA-grade change control.
Payers and health systems must build custom software with IT teams they can’t grow: prior-auth workflows, claims routing, member portals. Agents are the way out of the backlog, and every board knows it. But this is the era of algorithmic-denial scrutiny, and every audit rests on three questions: who changed the system, who reviewed it, who approved it. And a fourth is now attached to every automated decision: why did the system decide that?
When agents join the team,
the attestation chain breaks.
“A qualified person wrote it, a second person reviewed it” stops being true the day an agent writes the code. And in healthcare the code touches PHI and decides care. Haltere repairs the chain: every change carries a human name, a recorded review, and a durable approval. By construction, not by policy memo.
Three regimes. One record.
The auditors aren’t hypothetical. These frameworks already govern the systems that hold PHI and make coverage decisions, and automated denials are drawing the sharpest questions.
Audit controls, by construction.
The rule’s audit-control standard (45 CFR 164.312(b)) asks for mechanisms that record and examine activity in systems containing ePHI. The receipt is that kind of record: kept as the work happens, not reconstructed after the letter arrives.
The determination record, with names.
Payers hand CMS auditors universes of organization determinations and the basis for each. On Haltere the change record behind those determinations already exists: actor, reviewer, approver, on every change an agent touches.
Automated denials carry exposure.
Oversight bodies have signaled scrutiny of algorithm-driven denials, and False Claims theories reach automated decisions made at scale. When a decision is challenged, the basis must be on record. The receipt keeps it there.
One receipt per change. One query per audit.
Every step the AI took,
and who signed off.
A single prior-authorization workflow change: retrieved, drafted, checked, approved, sealed. Each step on the record, and every criteria change tied to the medical policy it implements. We show the highest-stakes example on purpose; your pilot starts wherever you choose: a portal, a report, a reconciliation. The receipt’s shape is identical.
Fixture data. A change that crosses the PHI boundary, or drifts from the published medical policy, fails at the gate. No human is ever asked. The receipt is the difference between answering the auditor and reconstructing for them. Download the sample evidence pack (PDF, fixture data)
Bad changes don’t get reviewed. They get blocked: merged 0 lines, logged, receipted.
The audit won’t only ask
how it was built.
It will ask what it did. Your software routes prior auths, adjudicates claims, flags files. And when the question arrives about one claim denied in March, from a member, an appeal, or a CMS auditor, reconstruction is either a query or a project. On Haltere the operation already wrote its decision receipt: what the system saw, the medical-policy revision it applied, the checks that passed, and the human who signed the change that put that policy in the path.
“Why was this claim denied” is the question of the era. The receipt is the answer: a query, not a project.
Payers and systems, and the vendors
who serve hundreds at a time.
The governed first agentic project.
Regional payers, health systems, TPAs. One backlog item you already want, delivered governed in 4–8 weeks, with the evidence pack that lets you show the board AI progress and the auditors the receipts. We’re filling a first cohort of five founding design partners, sequenced.
The proof layer under your AI hub.
Every claims platform and care-management suite is shipping an AI hub. The hub decides. Increasingly, it builds. And your customers will be asked to prove both: how the software changed, and why it decided. Your agents, your models, your hub; our map, gates, and receipts. The hub ships faster, the evidence writes itself, and delivery hours stop eating margin.
The governed first agentic project.
One backlog item. Fully governed. Evidence included.
The portal rebuild, the reporting pipeline, the intake workflow that should have become real software years ago. Scoped together before anything starts.
Scoped to the project and quoted in the first conversation, agreed before anything starts. No time-and-materials meter running.
From scoping to production-acceptable delivery, live in your environment.
Two deliverables, always paired: the working software, and the evidence pack. Show the board AI progress; show the auditors the receipts.
The process guarantee: your team reviews and approves every change. Nothing merges ungoverned. Zero unauthorized code reaches production.
Two ways to run it: we operate the line for teams with no engineering bench, or your team operates it and we train your operator. The software, the map, and the receipts are yours in either mode.
You own it. The software and the logic built on top are yours. After the pilot, the line moves into governed operations: we operate it for you, or your own team takes the controls and builds the next ten projects the same way. Walk at renewal with everything. The pilot is how you adopt agents; the platform is how you keep them governed.
Mapped to the audits
you already sit.
Generated by the system, not compiled by a team. The technical file becomes an export.
Bring us a payer with a backlog —
or a vendor with an AI hub.
We’ll bring the receipts. Scoping is a conversation, the fee is fixed before anything starts, and the first deliverable review is on your calendar before we write a line.
No newsletter. No drip sequence. Every request gets a real reply within one business day — from someone who can answer it.
