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AI for insurance

AI for insurers, with a person behind every decision

OceanLab builds AI into claims, underwriting and insurance operations. The AI reads, extracts and suggests; a named person confirms cover and makes every call that could go against the customer. Every example below is a product we built.

3
AI product builds
8
Builds in this industry
3
Countries
5
Frameworks cited
Proof

OceanLab product builds

AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.

Use cases

Where AI earns its place

Each use case names the builds that did it.

Claims intake

AI reads the customer's story and photos, extracts the facts, drafts a damage estimate and suggests a triage route with its reasons, while a named person confirms cover and routes the claim.

Underwriting

A submission inbox with extraction already done, a file enriched with hazard, building and company data, and a workbench that rates the risk, checks every referral rule and shows who may quote.

Insurance operations

One AI-driven workspace in place of policy spreadsheets and disconnected claims tools, designed and shipped in 8 weeks from a clickable AI prototype.

Compliance

What to plan for

The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.

High-risk under the EU AI Act

AI used for risk assessment and pricing of individuals in life and health insurance is on the EU AI Act's high-risk list (Annex III). That brings risk management, logging, human oversight and documentation duties.

Automated decisions

Under GDPR and UK GDPR Article 22, people have rights around decisions made only by automated means that significantly affect them. Keep a person on any decision that can go against the customer.

Fair treatment and reasons

Conduct rules such as the FCA's Consumer Duty and claims handling rules expect fair outcomes. Show the reasons behind a suggestion so the person deciding can check them.

Sanctions and referrals

Underwriting tools need sanctions screening and referral rules built in, with a record of who was allowed to quote and why.

Security attestations

Insurers and their partners often ask for SOC 2 Type II or ISO 27001. Plan the controls and evidence from the first sprint.

Telling people it is AI

The EU AI Act requires that people are told when they are dealing with an AI system such as a chatbot, unless it is obvious.

Frameworks our AI builds here cite

GDPR · 2EU AI Act · 1HIPAA · 1ISO 27001 · 1SOC 2 · 1
How it works

From one workflow to production

  1. 01

    Pick the workflow

    We start from one workflow your team wants off its plate and agree what a working result looks like.

  2. 02

    Clickable AI prototype

    Your team tries the flow on a clickable prototype before any production code is written.

  3. 03

    Production build

    We build the production version, with the approval steps and records your industry needs.

  4. 04

    Launch and improve

    It goes live in your team's hands, and we tune it as real work runs through it.

Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →

FAQ

Questions teams ask

What can AI do for an insurer?

Take the reading and sorting off claims and underwriting teams: pull the facts from a claim story and photos, draft a damage estimate, extract broker submissions and check referral rules, and bring policy and claims work into one workspace. Each of these is a product OceanLab built.

Does a person still decide on claims?

Yes. In our claims build the AI suggests a triage route with its reasons, and a named person confirms cover, routes the claim and makes every call that could go against the customer.

Is insurance AI high-risk under the EU AI Act?

Some of it. AI for risk assessment and pricing of individuals in life and health insurance is on the high-risk list. Claims triage and operations tools need a case-by-case check. Check your own use case with counsel.

How is it priced?

Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.

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Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.

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