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Cases and evidence

Arkangel AI customer cases and studies

Published results with their method and limits. Customer figures come from pilots and anonymized cases; studies are published in peer-reviewed journals or conference proceedings.

Customer cases

Payer (EPS) · Colombia · Medical claims audit

Colombian EPS (anonymized): AI medical claims audit

18 batches audited with 98 rules across three layers. The human auditor kept the final decision and no communication was sent automatically.

days, average audit cycle per batch
94 → 29days, average audit cycle per batch
invoice line items reviewed
42,300invoice line items reviewed
lines reviewed manually before prioritization
100% → 31%lines reviewed manually before prioritization
findings with an explicit reason and evidence
54% → 96%findings with an explicit reason and evidence

Rounded, anonymized figures.

Read the EPS case

Pharma and provider · Colombia · Clinical pathway

ProPacífico, with BMS support: gastric cancer clinical-pathway adherence

Arkangel AI's Pandora audited a cohort against the clinical pathway to surface high-risk patients missing expected care, with medical review.

clinical records reviewed
6,530clinical records reviewed
patients classified as high risk
436 (7%)patients classified as high risk
of high-risk patients with no endoscopy ordered or performed
38%of high-risk patients with no endoscopy ordered or performed

Reported pilot figures; the case publishes its method and limits.

Read the ProPacífico case

Pharma · LATAM · Confidential

Confidential pharma case: from field visits to brand decisions

How a regional pharma operation connected field signals, physician questions and adoption to decide where to act.

Spanish-language document, restricted to corporate teams.

Request the case

Published studies

Evaluations of Arkangel AI's models and agents. Several authors are on the Arkangel AI team; we say so where it applies.

Mayo Clinic Proceedings: Digital Health, 2026

Arkangel AI, OpenEvidence, ChatGPT and Medisearch against medical standards

128 question-answer pairs and 1,024 blinded external evaluations. 100% reference authenticity for Arkangel AI-Deep, as for ChatGPT-Deep and OpenEvidence. The authors are Arkangel AI staff.

Read the study

Intelligence-Based Medicine, 2026

Randomized trial with medical students

Double-blind randomized trial with 83 students: ~55% less time per case (median 2:35 vs 5:44) and higher answer-validity scores.

Read the study

Intelligence-Based Medicine, 2025

Conversational agent for evidence-based medical questions

90.26% accuracy on MedQA (vs 87.51% for GPT-4o).

Read the study

IEEE Conference on Artificial Intelligence (CAI), 2025

PANDORA: unstructured clinical data extraction and COPD risk

Near-perfect extraction and 94% accuracy on the PUMA score.

Read the study

Talk to us about your case

Every conversation starts from your batch or your question, not a slide deck.

Payers and insurers

Audit pilot on your anonymized claims.

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Pharma

Early detection, medical insights and medical education.

Talk to the pharma team

Hospitals and providers

Denials review on a sample batch.

Plan a review

Clinicians

MedSearch: clinical answers with cited sources. Free plan.

Try MedSearch

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