GenAIM Agentic Judgment
AI-Operated. Human-Governed.
Workflows
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Complex claims, operated end to end.
Your team governs the judgment.

GenAIM is the judgment layer over your existing claims systems, not a replacement for them. It reads the evidence, builds the chronology, applies your methodology, and surfaces the key issues that need human review and approval. Built for complex insurance claims. Proven over two years on high-stakes document judgment. Now applied to medical malpractice.

Proven under expert scrutiny. Ready for claims.

GenAIM's judgment layer was proven over two years on real, high-stakes document judgment under expert review. The same layer now runs complex claims, starting with medical malpractice.

Medical Malpractice Claims

Records reviewed. Chronology built. Issues surfaced for human review and approval.

Chronology, breach, and causation on the production-ready GenAIM platform. Illustrative example using synthetic data; no real patient information.

Medical Malpractice Chronology Analysis
Total Events
28
Critical Delays
2
Care Breaches
4
!
Clinicians
5
Clinicians Dr. Helen Ash (Consultant) Dr. Daniel Oak (Surgeon) Aaron Elm (RN) SHO on-call
All Events Breaches Delays Critical
Wed, 11 Sept 2025
23:45 SHO on-call
Bile-leak indicators present overnight; SHO assessed but did not escalate to consultant.
14:20 Dr. Helen Ash (Consultant) Breach High
Discharge while critical investigation results unreviewed. Ultrasound suggesting bile leak available 18.6h, not actioned.
16:05 Dr. Daniel Oak (Surgeon) Breach
Intraoperative cholangiogram omitted despite high-risk operative conditions including dense adhesions and bile staining.
Built by an enterprise automation operator with deep insurance claims experience.

Judgment engine proven over two years on real, high-stakes document judgment under expert review. The same composable engine now operates insurance claims, configured to your methodology, not rebuilt.

Read the proving-ground story →
GenAIM is the second wave of AI

From AI tools to AI that operates.

First Wave: AI Tools
  • Copilots everywhere. Faster drafting, search, summaries.
  • Individual productivity improved.
  • But processes didn't change. Bottlenecks stayed.
  • Documents still get read line by line. Risks still get flagged manually. Findings still get typed into spreadsheets.
Second Wave: AI Systems
  • AI systems that operate processes end to end, with people governing the decisions.
  • Documents come in. Findings structured. Actions tracked through to approval.
  • Your team reviews, edits, approves. The process runs. Your team governs.

GenAIM is the second wave of AI.

Composable by design

Adapt the system to the work.
Not the work to the system.

Every claim is different. Every insurer has its own methodology, its own assessment criteria, its own sign-off process. GenAIM does not force your claims workflow into a fixed pipeline. It adapts to the way your team already works.

Describe the workflow you need.
In your team's own words.

Each step is configured to your methodology, your risk appetite, your approval process, and your output format.

  • Workflow builder. Describe what you need in plain language, by voice or text, and GenAIM builds and runs it. Or compose by hand: drag agents in, configure, save.
  • Agent builder. Describe a new judgment step and GenAIM drafts it, prompt and all, for your team to review and approve.
Workflow Builder Compose agent pipelines
Medical Indemnity Medical Malpractice + New
Agent Library
Pipeline
Load Document
Classify Document
Save to Database
Analysis
Paralegal Q&A
Paralegal Playbook
Imaging Analysis
Generate Summary
Generate Issues
Risk Assessment
Chronology
Extraction
Find Clauses
Risk Score
Find Attachments
Read the records and the imaging, build the chronology, and surface breach and causation for review.
Medical Malpractice
Ready
Medical malpractice workflow: imaging, chronology, breach and causation
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1
Load Document
Pipeline
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2
Imaging Analysis
Analysis
⋮⋮
3
Chronology
Analysis
⋮⋮
4
Generate Issues
Analysis
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5
Save to Database
Pipeline
A new workflow is configuration, not construction.
Verified by design

Verified against the source. Reviewed where it matters.

Every event GenAIM extracts is checked against its source document and scored for coverage. Your team reviews the exceptions, the partial matches and the gaps, not every page from scratch. Every finding traces back to the page it came from, and the causation chain shows how the events connect: who knew what, and when. GenAIM doesn't replace professional judgment. It replaces the manual execution that sits underneath it.

Deployment flexibility

GenAIM is model-agnostic and deployment-agnostic. We deploy wherever your data policy requires: cloud, private cloud, or on-premises.

Where to start

One engine. Configured to your claims line.

Founder

Twenty-five years building automation.
Judgment was always the barrier.

Jonathan Birch

Across twenty-five years of building automation systems, I've seen the same barrier in every industry. Structured processes can be automated end to end. But the moment a process involves unstructured documents and expert judgment, automation stops.

Telco Automation

Founded & exited ASX-listed company; sold to Huawei

Huawei Global AI Lab

Led the AI Innovation Lab; 2× TM Forum Awards

Insurance CSO

4 years, London; claims automation for a major UK motor insurer

Advisors: Two former KPMG Partners with 40 years of combined corporate finance experience.

"I've spent my career building systems that hit the judgment barrier.
GenAIM breaks through it."

Request a Session

Bring a claim file from any complex claims line. A 30-minute working session, and we'll show how GenAIM would run it end to end.

or join the waitlist