Don't trust the model. Trust the architecture — and the human who reviews it.
No AI vendor can honestly promise zero hallucinations. So we built Paveo so the model is never in a position to invent a clinical fact, every output traces back to your documents and the payer's policy, and a coordinator reviews everything before it's submitted.
“We don't ask you to trust the model. We built the system so the model can't invent a clinical fact, and a person reviews everything before it's used. Let us show you how.”
Paveo is decision support, not autopilot. It speeds up and de-risks a coordinator's work — it never replaces their judgment. Every draft and every readiness check is meant to be reviewed and edited by a qualified person before it's submitted.
What keeps the output accurate
Reliability is engineered, not promised
Four design decisions that make a fabricated clinical claim structurally hard — not just unlikely.
The model can't invent a clinical fact
Paveo runs in two hard-separated stages. Stage A only extracts what is literally in your documents — it never infers or fills gaps. Stage B drafts using only those extracted facts. A claim that isn't in your notes has no path into an output.
It surfaces what's missing — it doesn't paper over it
The product is built to flag absence: the missing lab, the undocumented step therapy, the gap in prior-therapy evidence. A tool that points out what's incomplete is the opposite of one that fabricates confidence.
It never invents a score
Readiness is shown as a real met / total ratio (e.g. 6 of 8 requirements met) plus a risk band — never a made-up percentage. Every item traces back to a concrete requirement in the payer's actual policy.
Grounded in the real payer policy
Paveo checks each case against that payer's actual coverage criteria, injected whole — not against the model's memory of what a payer 'usually' wants. The reasoning is anchored to a real document you can read.
The core safeguard
A wall between reading and writing
The single thing that makes hallucinating a clinical fact structurally impossible.
Reads the documents. Extracts only.
Pulls what is literally on the page — diagnoses, labs, prior therapies, dates. It is not allowed to infer, guess, or fill a gap. If it's not in the record, it doesn't come out.
Writes using only Stage A's facts.
Builds the readiness check or appeal from the extracted facts alone, splitting evidence present from evidence missing, and rejecting any claim it can't trace back to the notes.
Patient data
Can it be trusted with PHI? Today, no — on purpose.
Being honest about this is our strongest position. Here's exactly how patient data is handled now, and what we put in place before a real pilot.
Synthetic data only — by design
Today Paveo runs on synthetic and de-identified data. No real patient record flows through it until the proper agreements are in place. We'd rather tell you that plainly than overclaim.
It stores nothing
Documents are processed transiently to produce an output — not saved to a database. There's no patient record sitting around to breach. Small surface by design.
Encrypted and access-controlled
All traffic is encrypted in transit (HTTPS) and the tool sits behind an access gate. Nothing is public.
The path to real cases
Going live with real PHI is paperwork, not a rewrite
When your team is ready to pilot with real cases, three agreements unlock it — scoped to that pilot, done before any real record is processed.
AI provider BAA
The model reads the documents, so the LLM provider is covered by a Business Associate Agreement.
HIPAA-eligible hosting
The backend moves to a HIPAA-eligible host that signs a BAA before any real record is processed.
BAA with your team
Paveo signs a BAA with your organization, adds per-user logins, and guarantees no PHI in logs.
This page describes Paveo's design and data posture; it is not legal advice. Specifics are confirmed with each provider and reviewed by counsel before a pilot with real patient data.
See it on your own cases
The best proof is your own history. Run de-identified past cases through Paveo and see what it would have caught before submission.