Expert-in-the-Loop Services

AI does the work. Our experts make it stand up.

Regulators, QA teams, and enterprise buyers all ask the same question of AI output: who reviewed this, and can you prove it? We provide named, credentialed clinicians and specialists who review, validate, and sign — with the documentation trail that turns AI output into something you can defend.

Discuss your review requirement How it works
The obligation AI can't carry

Where the human is the requirement, not the bottleneck

In regulated clinical work, human oversight isn't a limitation to engineer around — it is the compliant design and the liability firewall. We supply that layer as a service.

Safety-signal adjudication

Physician review of AI-flagged safety signals — benefit-risk judgment by a named, credentialed reviewer, documented to an inspection-ready standard.

Qualified sign-off

Accountable review and sign-off on AI-drafted safety narratives, aggregate-report sections, and clinical summaries — before they carry your name.

AI-workflow validation

Clinical-logic validation of AI-assisted coding, case processing, and clinical documentation — the evidence your QA organization needs to qualify the process.

The same discipline extends beyond clinical research — including clinical-logic validation for healthcare AI platforms — wherever a credentialed human review is the regulatory or commercial requirement.

How it works

What you actually get

1

Named reviewers, real credentials

Not an anonymous pool. Each reviewer comes with a credential dossier your QA team — or your sponsor's — can qualify.

2

Defined SLAs and cadence

Turnaround commitments matched to your workflow — regulatory clocks, release cycles, or signal volume — not a consultant's calendar.

3

A documented decision trail

Who reviewed, when, under what criteria, with what outcome — captured by default, retrievable on demand, inspection-ready.

4

An assurance package your buyer can approve

Human-in-the-loop design, validation evidence, and audit trail assembled into a dossier — the difference between "we use AI carefully" and proof.

Stuck between pilot and production?

Most AI pilots don't fail. They stall.

Industry-wide, only 22% of life-sciences leaders have scaled AI — and the wall is almost never the model. It's validation, governance, and the human-oversight design nobody scoped. We build the human-in-the-loop architecture and the assurance dossier that gets a conservative QA organization to yes.

  • › Oversight design: what needs a human, at what step, signed how
  • › Validation evidence mapped to your quality framework
  • › The credentialed reviewers to run it — from day one
?

"The model worked. Then QA asked who signs off — and the pilot has been 'under review' ever since."

The most common way a good AI initiative dies — and the most fixable.

The question your buyer will ask

"Who reviewed this?" Let's make the answer a strength.

Bring us the workflow — a safety process, a stalled pilot, an AI product that needs clinical validation. We'll scope the review requirement on one call.

Discuss your review requirement