Industries
AI across the policy lifecycle.
From underwriting to claims to the platforms that run them, we help insurers put technology to work where it moves loss ratios, cycle times, and cost.
Book a consultationWhat we do
Across underwriting, claims, and the stack.
Insurance runs on data and decisions, which makes it one of the highest-return places to apply AI, and one of the least forgiving places to apply it badly.
Claims automation
Cutting handling time and manual effort in back-office claims. Rules-based steps automated, exceptions surfaced for human review.
Underwriting support
AI-assisted risk assessment and decisioning. Better data, faster calls, with humans accountable for the final judgment.
Fraud detection
Anomaly and pattern detection across claims and transactions, catching what rules engines miss, at the speed the book demands.
Document intelligence
Extracting and processing policy and claims documents, turning unstructured paper into structured, actionable data.
Platform modernization
Migrating legacy and low-code platforms to modern stacks, eliminating licence costs and leaving carriers with codebases they own.
Workforce enablement
Building fluency across underwriting, claims, and operations, so the tools get used and the gains hold after we leave.
Proof, not promises
A Fortune 100 insurer’s first AI engineering team, in eight weeks.
The carrier wanted an internal AI engineering capability rather than a standing dependency on outside help. We took the team from inception to delivery in eight weeks, working through AWS, Python, data analytics, and machine learning, and finishing with a two-day hackathon that put their first build in front of the business.
Read the case study →Common questions
Questions we hear often.
How is AI used in insurance?
Across the value chain: assisting underwriting and pricing, automating claims handling, detecting fraud, extracting data from policy and claims documents, and modernizing the platforms that run it all. The highest-value uses depend on your data and your lines of business.
How does AI improve claims processing?
By taking the rules-based steps off people and routing the exceptions to them instead. The gain is usually in cycle time and consistency rather than headcount, and it depends on document handling being solved first.
Can you modernize a legacy or low-code platform?
Yes, and it is some of the most valuable work we do. Low-code platforms tend to be cheap to start and expensive to stay on. Migrating to a modern stack removes the licence dependency and leaves you owning the code.
Do you work with our existing carrier systems?
Yes. We work in the platforms you already run rather than arriving with a preferred stack. Where we think you are better served by something you already own, we will say so.
Next step
Let us talk about your book of work.
Book a consultation and we will find where technology moves the needle across your policy lifecycle.
Book a consultation