It can flag indicators for your investigators. The agent can point out patterns your team defines, such as mismatched dates or repeated details, and note them in the claim summary. It never accuses a customer or blocks a claim. Investigators decide what to look into.

Services · Artificial intelligence · Insurance AI agents

Claims files that are ready before the adjuster is.

Q: How accurate is the document extraction?

It depends on your documents, so we measure it on them. We test extraction on a sample of your real documents before launch and share the results field by field. Fields the model is unsure of are flagged for a handler. We do not quote a figure in advance because document quality varies so much.

Q: How is policyholder data handled?

The design follows GDPR and the data protection law in each market and your own data policies. Data stays in your environment or an approved region, with access limited by role and every action logged. Medical and financial details are only exposed to the steps that need them. Your data protection and compliance teams sign off the design.

Q: Does it work with our core insurance platform?

Yes, through its APIs or an integration layer. We connect to policy administration, claims and CRM systems through their supported interfaces. Where only email or file drops exist, we build a controlled bridge with your IT team. Write access is limited and logged.

Q: Who signs off the agent?

Your claims, compliance and legal leads. We design the work around your regulatory obligations and fair treatment of customers, but approval sits with your organisation. Your teams review the scope, the test results and the escalation rules before launch.

We build insurance AI agents for claims intake, document extraction, policy questions and quote requests. They collect and organise the facts so adjusters and underwriters can decide sooner. Adjusters make every claims decision.

Agents connect to your policy administration and claims systems and keep a full audit trail.

Get in touch All AI services

Built for: Insurers, managing agents, brokers and TPAs handling high volumes of claims, quotes and policy queries.
Typical timeline: A first agent, usually claims intake, reaches a supervised pilot in eight to twelve weeks.
What you own: You own the workflows, extraction models, prompts, integrations and logs, running in your environment.
Rated: 4.7 / 5 from 23 Google reviews

200+ companies across the US and the UAEFrom a first store to a listed developer

What you get

Agents for every stage of the policy and the claim.

Each agent handles a defined step and passes structured work to a person. Nothing is paid, declined or bound by an agent alone.

Explain your project

FNOL claims intake agent
Takes first notice of loss over WhatsApp, web or phone, asks the right questions for the claim type and collects photos and documents. It opens the claim with every required field filled.
Claims start complete, so adjusters stop chasing basic details.
Claims document extraction agent
Reads police reports, medical invoices, repair estimates and receipts, and pulls the amounts, dates and parties into the claim file. Fields the model is unsure about are highlighted for a handler to confirm.
Handlers check extracted data rather than keying it in.
Policy Q&A agent
Answers policyholder questions about cover, excesses and how to claim, quoting the wording of their own policy. If the wording is unclear, it says so and passes the question to a person.
Policyholders get a straight answer and the contact centre takes fewer repeat calls.
Quote intake agent
Collects risk details for motor, home, health or commercial quotes and checks them against your underwriting rules. It sends a complete submission to the underwriter or rating engine.
Underwriters receive submissions they can work on without going back to the customer.
Broker support agent
Answers broker questions on appetite, product rules and required documents, and reports on submission status. Brokers get answers on WhatsApp or the portal without waiting for an underwriter to call back.
Brokers find you easier to place business with.
Renewal reminder agent
Sends renewal notices, collects changes in circumstances and flags customers who may not renew. Retention staff get a list with the reasons attached.
Renewals are prepared early, and at risk customers get a call in time.
Claims triage summary agent
Writes a short summary of each new claim, noting missing documents, coverage questions and possible fraud indicators for review. The adjuster decides what happens next.
Adjusters spend their time on judgement, not on reading the file twice.
Damage photo review agent
Uses computer vision to sort claim photos, check they show the damaged item and flag images that need a closer look. The assessor makes the damage and repair decision.
Assessors see organised evidence and request fewer extra photos.

Who this is for

Insurance businesses we build for.

Insurance agents pay off where volume is high and information arrives scattered across channels.

Insurers

Motor, health and property insurers handling large volumes of claims and policy questions. Agents take on intake and extraction so adjusters can focus on decisions.

Start with FNOL intake.

Brokers and managing agents

Brokerages and managing agents juggling quotes, submissions and client questions across many carriers. Agents collect information once and keep clients and underwriters updated.

Start with quote intake and broker support.

TPAs and claims administrators

Third party administrators processing claims for several insurers, each with its own rules. Agents apply the right rules per client and prepare files for handlers.

Start with document extraction.

How we put an insurance agent into service.

01MapWe follow real claims or quotes through your process with handlers and underwriters, and pick the step with the most manual work. Compliance agrees what the agent may do.
02ConnectWe integrate with your policy administration, claims and document systems through their APIs. Extraction is built and tuned on your actual documents.
03EvaluateWe test against a set of past claims and quotes with known outcomes, reviewed by your senior handlers. Errors are fixed before any customer sees the agent.
04RunWe launch on one product line, log every interaction and review escalations with your team. Other lines follow once the results are accepted.

How we work together

How insurers work with us.

Start with one agent on one product line, or set up a small team to build agents across claims, underwriting and service. Scope and review points are fixed before the build begins.

Discovery and pilot

Teams deciding where AI should start

A short, fixed piece of work: the use cases ranked, the data checked, and one pilot built against real examples so you can judge it on evidence rather than a demo.

Use cases ranked by value and risk
Data and systems review
A working pilot on your own examples
A written plan for what comes next

Get in touch

Build and launch

A use case that is ready to go live

A written scope and a fixed quote, then the build: integrations, guardrails, an evaluation set and a launch with your team trained to use it.

Written scope and acceptance tests
Integration with your systems
Evaluation set and human review steps
Launch, training and handover

Get in touch

Run and improve

AI that is live and needs looking after

A monthly plan to watch quality, cost and usage, update prompts and models as vendors change them, and add the next use case when the first one earns it.

Quality and cost monitoring
Model and prompt updates
A monthly report on usage and results
The same team that built it

Get in touch

Technology

What we build this with.

Models are chosen per use case for quality, cost and where your data is allowed to go. The systems around them run on the stack below.

01Web

React
Next.js
TypeScript
Node.js
Laravel
WordPress

02Data and cloud

PostgreSQL
MySQL
MongoDB
AWS
Azure
Docker

What insurance teams ask us.

Will the agent approve or decline claims?

No. Adjusters decide.

The agent collects, extracts and summarises, then hands a complete file to an adjuster. Settlements, declines and coverage decisions stay with your authorised staff. The agent's work and the human decision are both recorded.

How accurate is the document extraction?

How is policyholder data handled?

Can it detect fraud?

Does it work with our core insurance platform?

Who signs off the agent?

Services that usually go with this one.

AI agent developmentAgents that do real work, with a person signing off.AI automationAutomate the repetitive work, keep people on the judgement.Computer vision developmentCameras and images that report what they see.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews

Claims files that are ready before the adjuster is.

Agents for every stage of the policy and the claim.

FNOL claims intake agent

Claims document extraction agent

Policy Q&A agent

Quote intake agent

Broker support agent

Renewal reminder agent

Claims triage summary agent

Damage photo review agent

Insurance businesses we build for.

Insurers

Brokers and managing agents

TPAs and claims administrators

How we put an insurance agent into service.

How insurers work with us.

Discovery and pilot

Build and launch

Run and improve

What we build this with.

What insurance teams ask us.

Services that usually go with this one.

Tell us what the business needs. We will tell you what to build first.