ANDR3W runs the administrative and operational work of hospitals and health systems inside the systems you already use. Every answer is checked before it goes out, and every decision comes with a receipt you can open.
Hear, understand, remember, think, check, deliver. Every step is timed, every check leaves a receipt, and when a check catches something, the AI fixes its own answer before anyone sees it.
Most AI asks you to trust it. ANDR3W hands you the receipt: what it understood, what it read, the math it did in code, every check that ran, what each one caught, and why the answer was allowed out.
ANDR3W
Compare the billed unit price on every Q3 stapler invoice line with the contract price for the tier this facility qualifies for. Scope: 41 invoice lines, 1 supply agreement, 1 volume report.
A smarter model does not fix any of these. They are failures of the layer around the model. That layer is what ANDR3W built.
Quotes numbers it never computed, cites documents it never read, and serves last month's fact with today's confidence.
A timeout or restart and the request simply vanishes. Nothing measures the silence.
"Let me pull that now" turns into nothing. Promised work ages into a broken promise.
Shared retrieval and broad service accounts let the wrong data reach the wrong answer.
"The AI said so" is not an audit trail. A month later, nobody can say why it decided what it did.
Every guarantee rests on the same design: one checkpoint everything must pass through, a rule in the build that blocks any way around it, a live measurement of anything that slips, and an alert if it ever does.
A governance system of specialized AI judges reviews every answer for grounding in your records, recomputed math, relevance and safety. When one objects, it sends its reasons back to the AI that wrote the answer, which fixes it. Checks improve the answer. They never replace it with a canned reply.
Each decision writes a small, privacy-safe record of what was checked and what happened, chained so it cannot be quietly changed. Ask "why?" and the answer is read from that record, not invented after the fact.
Teach a process once and it becomes a proven program that runs the same way every time, at any volume. Every item gets its own receipt, and a run cannot report done on work it did not do.
Every customer runs in its own isolated cloud environment with its own network, key vault and backups, including immutable copies in a separate region. Your data never trains a model.
Arrives in Slack, Teams or email, and is acknowledged right away.
Resolves who is asking, what they mean and what they are allowed to see.
Pulls the exact records and passages it needs, with citations.
Judges review the draft in parallel. The author fixes what they catch.
Every request ends answered, with a question, or with an honest reason.
The decision is recorded, chained and ready for anyone to open.
Denial triage, eligibility checks, claim follow-up and payer policy questions.
Invoice to PO to contract matching, price variance and item master hygiene.
Contract terms, tiers, eligibility, rosters and sourcing responses.
Queues, worklists, follow-ups and the status chasing nobody has time for.
Intake, routing, document extraction and recurring reports.
Ticket triage, job monitoring and cross-system data synchronization.
Its memory, its skills and its library of proven programs grow every week it runs, and the platform behind it improves continuously.
Reads what you share, remembers it, cites its sources and knows when a document changed or was replaced. Built to scale to millions of documents, with answers in milliseconds.
The brain surfaces patterns, risks and opportunities on its own, each with its reasons, its sources and a confidence score.
Your library of proven programs grows with every process you teach. When a program breaks on new data, it repairs itself and serves the fix only after an independent check approves it.
Every miss becomes a permanent fix. An AI software factory designs, builds, tests and ships improvements around the clock, each one proven before it reaches you.
Why · Renewal clauses found in sections 11.2, 9.4 and 12.1. No termination notice is on file for any of them.
Why · Trailing twelve month volume is 4,700 of 5,000 units. Consolidating orders from two facilities crosses the tier.
Why · The new revision adds a repeat-study exemption. Four open worklist items still cite the old rule.
for expedited prior authorization decisions under the CMS rule effective 2026
Source: CMS-0057-FIsolation is physical first, fails closed everywhere else, and is enforced in the build. We are precise about what we hold and what is on our roadmap, because your risk team will check.
Visit the trust centerWhen something goes wrong, the pattern is named, every instance is fixed at once, and a rule in the build keeps it from ever coming back.
Each release runs first on internal agents against real situations it has learned from, and must beat a bare model before it reaches a regulated customer.
No change merges without an independent review pinned to that exact change, and no fix is accepted without a test that fails on the old code.
Every release carries signed build provenance, so what is running can be checked independently.
A briefing is a working session, not a pitch. Bring a workflow and the people who own it, and we will show you how it would run, what it would check, and what the receipts would show.