Insurance

AI for underwriting, claims and service, deployed into the core systems you already run.

We have led strategy, transformation and data science inside a non-life insurer. We know claims, bancassurance, reinsurance operations, IFRS 17, telesales compliance and fraud analytics, and the difference between a demo and a system the regulator will let you run.

Workflows we take on

Where the hours go in insurance

Underwriting & new business

Document-heavy operations

Submission intake, document extraction, risk checks, referral routing, quotation support.

FNOL, document assessment, fraud signals, reserve support, settlement drafting, with humans on the high-value cases.

Voice and chat for servicing and renewals; review of every agent conversation instead of a sample.

Review every issued policy and settled claim; measured accuracy reported to the control function.

Pricing & portfolio

Decision support

Analyst-grade first drafts for pricing reviews, exposure monitoring and reinsurance packs.

Finance & reporting

Internal operations

Close support, IFRS 17 data preparation, board and regulator packs.

What makes it different

Things we plan for from the diagnostic, not the go-live.

  1. Regulatory expectations [OIC / local regulator] on outsourcing, data and automated decisions determine deployment options; we design for them from day one.
  2. Distribution partners (bancassurance, brokers, agents) shape the workflow as much as the insurer does.
  3. Claims is where the money is and where a wrong answer is most visible. We start with augmentation, not automation, and earn the right to go further.
In production

Our first engagements are in progress. We publish results only with the client's name and permission.

Not in insurance? Most of these workflows have a twin in your industry. See the problems we take on

Bring us the workflow that costs you the most.

Tell us what it is, who does it today, and roughly how many hours it takes. We'll come back within a week with a view on whether AI changes it, and how we'd prove it.