GenAIM is the composable judgment layer that works with your existing systems. It picks up the work currently given to people. Reading the same messy documents that a person would, it applies knowledge you've captured for it in playbooks to produce source-traced assessments for you to approve. The same layer operates across underwriting and claims. Proven over two years on high-stakes document judgment.
GenAIM's judgment layer was proven over two years working with lawyers on live transactions, reading nuanced documents and making judgment calls that held up to their review. The same layer now operates specialty insurance work, configured to your methodology.
Start where the pain is sharpest, claims or underwriting. The layer is the same; the second workflow is a playbook, not a project.
Operate the complex claims your core systems route to people to handle. GenAIM reads the same messy documents a person would, builds a source-traced chronology of key events and parties, and surfaces liability, causation, and quantum for review.
Explore claims →Operate judgment-heavy applications the same way. GenAIM reads the application and its attachments, scores the risk against your underwriting guidelines, and produces a source-traced recommendation for review.
Explore underwriting →It reads your documents, applies your methodology, checks every finding, and routes assessments for human review and approval, across underwriting and claims. Your existing systems stay in place.
GenAIM operates underwriting and claims on one judgment layer. It connects the judgment made when risk enters the portfolio with the evidence that emerges when losses develop.
Claims intelligence improves underwriting.
Underwriting visibility improves reserving, reinsurance, and capital decisions.
GenAIM is the second wave of AI.
Every file is different. Every insurer has its own methodology, its own assessment criteria, its own sign-off process. Whether the work is a claim or a submission, GenAIM does not force it into a fixed pipeline. It adapts to the way your team already works.
Each step is configured to your methodology, your risk appetite, your approval process, and your output format.
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. The same discipline holds in underwriting: every score traces back to the application section it came from. GenAIM doesn't replace professional judgment. It replaces the manual execution that sits underneath it.
GenAIM is model-agnostic: the best model for each task, frontier where the judgment needs it and open-weight where it is proven to match, so you are never locked to one vendor's token price. It deploys to meet your data-residency requirements.
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.
Founded & exited ASX-listed company; sold to Huawei
Led the AI Innovation Lab; 2× TM Forum Awards
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."
Bring a complex claim or underwriting submission from any specialty line. A 30-minute working session, and we'll show how GenAIM would operate it end to end.