AI that works for Insurance
Almost everything in insurance arrives as an unstructured document and has to become a structured decision. That is the single most reliable place AI pays, and the place a careless implementation does the most damage.
Are these Insurance challenges familiar?
Submissions arrive as email attachments
Schedules, loss runs and applications come in as PDFs and spreadsheets that all say the same things in different words, and someone keys them into your system by hand.
Claims volume is spiky
Capacity is sized for the average and the average is not the problem. Surges land on the same team, and service levels are the first thing to give.
Wordings differ in ways that matter
Comparing cover across carriers is careful, slow reading, and the consequence of missing a clause is not an inconvenience but a claim you cannot place.
What we would look at first.
Intake, almost every time. It is the highest-volume document task in the business, the baseline is easy to measure in minutes per submission, and the accuracy question can be answered honestly on your own files before anything goes live.
Submission intake that reads the attachment
Schedules and loss runs turned into structured records with every field traceable to where it was read from, and anything uncertain flagged rather than filled in.
Process AutomationTriage that survives a surge
Incoming claims and enquiries classified, prioritised and routed with context attached, so the queue is ordered by consequence rather than by arrival time.
Custom Tools & AgentsComparison with the differences surfaced
Wordings and quotes read side by side with the material differences pulled out and cited, leaving the judgement where it belongs.
Custom Tools & Agents