INDUSTRIES · HEALTHTECH
AI agents for healthtech that work the administrative queue: intake packets, prior authorization files, coding preparation and records requests. No clinical decisions, ever. A clinician or coder signs everything that leaves, and the whole trail is logged.
What’s slow in healthtech
Almost none of it is clinical. It is paperwork that has to be exactly right, moving between systems that were never designed to talk. People with clinical training spend hours a week on it.
Intake is a scavenger hunt
Referral, insurance details, prior records and consent arrive by four routes in three formats. Somebody assembles them into one usable chart.
Prior authorization is chasing
The payer wants specific evidence in a specific order. Finding it takes longer than writing the request.
Coding backlogs move the revenue date
Documentation is complete and the code is not assigned yet. Billing waits, and so does cash.
Records requests pile up quietly
Each one is small. Together they consume a person, and the clock on them is a legal clock.
Where AI agents for healthtech pay off first
Intake packet assembly
Referral, coverage, prior records and consent are gathered, checked for what is missing, and presented as one chart-ready packet with the gaps listed.
Prior authorization preparation
The agent finds the documentation the payer’s policy asks for, assembles it in their required order, and flags what the record does not support. A person submits it.
Coding preparation
Documentation is read and candidate codes are proposed with the supporting passage quoted. A certified coder accepts, edits or rejects. The agent never assigns a final code.
Records request handling
Requests are logged, scoped against what may lawfully be released, and prepared for release. The release decision stays with your privacy officer.
Eligibility and benefits checks
Coverage is verified before the visit rather than after it, and mismatches are surfaced to the front desk while there is still time to fix them.
These agents run against categories of system you already have: EHR and practice management, clearinghouses and payer portals, document and imaging stores, scheduling, ticketing, and data warehouses. Vendor names appear on this site only as illustrative examples of a category, never as a claim that we have delivered that integration. If it has an API, an agent can use it. If it does not, we will build the bridge.
Compliance and risk, stated plainly
The clinical line
No agent we build makes, recommends or influences a clinical decision. Agents prepare administrative work for a qualified person to approve. That line is enforced in the tool permissions, not in a policy document.
What HIPAA requires of a design
The rules require that protected health information is disclosed only to those who need it, that access is controlled and recorded, and that a business associate handling it is bound by an agreement. So retrieval is permissioned per agent, every access is logged, and the contractual position is settled before any data moves.
Minimum necessary
An agent is scoped to the records its job needs and nothing wider. Where a task can be done on de-identified or tokenized data, that is how we build it.
Evidence
Input, retrieved context, tool call, output, model version and cost are recorded per action. Access reviews and incident investigations both start from that log.
What we do not claim
URU Forge is not HIPAA-certified, and no such certification exists to hold. We are not SOC 2 audited. We build to the constraints your compliance team already works under, and we will put in writing what we have and have not been assessed against.
Four agents that fit a healthtech operation
Onboarding Agent
Runs the checklist for a new hire, clinician or patient-facing account, and chases the items nobody remembers.
Compliance Watch Agent
Tracks the rule and payer-policy sources you already follow, and maps each change to the process it affects.
Knowledge-Base Agent
Answers internal questions from your own documented policies, with the source passage cited every time.
Ticket Triage Agent
Sorts inbound requests, attaches the context, and routes clinical questions to people rather than answering them.
Where a healthtech engagement usually starts
AI business process automation
The operational build: intake, authorization and records workflows with approval gates written into the path.
RAG implementation and AI knowledge systems
The retrieval layer underneath any agent that answers from policy, payer rules or a clinical handbook. Citations are the requirement here, not a feature.
Typical shape from our engagement model, not a quote: a 3-10 day audit, then 2-4 weeks to a first agent in supervised production. Health workloads sit at the longer end. The agreement, the environment and the approval path take real time, and starting the build before they are settled is how projects stall.
What this looks like in practice
SaaS support triage hive
Reference scenario · SaaS. We have no published healthcare scenario yet, so this is the closest structural match: a triage hive that sorts, enriches and escalates. The shape transfers. The regulatory design does not, and would be rebuilt.
Reference scenario - a composite build illustrating our method. Figures are modeled and the model is shown.
Frequently asked questions
Will an agent ever make a clinical decision?
No. Not as a policy preference, but as an architectural boundary: agents in a healthtech build get tools for retrieving, assembling and formatting administrative work, and no tool that submits a clinical judgment. A coding agent proposes codes with the supporting text quoted, and a certified coder decides. If a workflow cannot be drawn with that line in it, we say so rather than building around it.
Can you work with protected health information at all?
Yes, under the same terms your other vendors work under, and only after the agreement is in place. The design defaults are minimum-necessary retrieval, per-agent permissions, logging of every access, and processing inside your own environment where the workload allows. Where a task can run on de-identified data, we prefer that, because the cheapest way to protect a record is not to touch it.
Are you HIPAA compliant?
There is no HIPAA certification to hold, and any vendor claiming one is describing something that does not exist. What is real is the business associate agreement, the safeguards behind it, and whether your own auditors accept the design. We build to those safeguards and we will document exactly how each is met. We have not been through a SOC 2 audit, and we will not imply otherwise.
What does this actually change for our staff on Monday?
The queue looks worked when they arrive. Intake packets are assembled with their gaps listed, authorization files are built and waiting for a submitter, and coding candidates are lined up with the documentation quoted. The judgment work stays. The gathering, the re-keying and the chasing are what leave.
How long until something is live?
Typically 3-10 days for the readiness audit and 2-4 weeks to a first supervised agent, with the agreement and environment access usually setting the pace. The honest limit is that we cannot compress your legal review, and we would rather say that at the start than find it out in week three.
Neighboring sectors
AI agents for ecommerce & retail
The same document-assembly work at consumer volume.
AI agents for logistics & supply chain
Exception handling under a deadline, with a different set of rules.
All industries
The other five sectors and how the pattern changes.