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AI support desk for insurance brokers and brokerage firms

A brokerage firm’s calls are massively repetitive: send a certificate, where is my claim, change a vehicle on the policy. The agent handles the recurring by reading your management tool, and passes to handlers what genuinely requires advice.

In your day-to-day

A typical scenario

Four handlers, 70 calls and emails a day at normal pace — double after a hailstorm. In this typical firm, the urgent certificate and the genuine dispute wait in the same queue.

  1. 01

    Monday 8:30 AM: a tradesman needs his liability certificate to enter a worksite. The agent identifies the policy, generates the document and sends it — he is on site by 9.

  2. 02

    At 10 AM, a policyholder asks where the survey of her water damage stands: a factual answer read from the management tool — surveyor appointed, visit due Thursday, documents awaited — without tying up a handler.

  3. 03

    At 11 AM, an “am I covered for this?” lands: the agent takes no position, gathers the policy, the covers concerned and the question rephrased, and hands it to the handler, who answers with the full picture.

What changes

Handlers stop being a switchboard and become insurance technicians again; post-storm peaks are absorbed without hiring or overflow.

Order of magnitude

Working assumptions

  • 70 requests a day at normal pace
  • six in ten purely factual: certificates, claim progress, policy documents
  • an average of 4 minutes’ handling each

In the region of 40 requests a day handled without a handler — nearly 3 team hours returned daily, and more in weeks of serial claims, exactly when it matters most. An estimate to refine against your volumes.

Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.

What eats your days

How it works

  1. 1

    The agent learns your business

    It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.

  2. 2

    Autonomous resolution, fenced

    Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.

  3. 3

    Supervision and continuous improvement

    Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.

Typical results

60%

of tickets resolved with no human involved, observed in production

3 min

first response, 24/7

×3

handling capacity for the same team

Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.

Frequently asked questions

Could the agent take a position on cover without a mandate?+

No: saying whether a claim is covered engages the duty to advise, so the agent never risks it. It quotes the policy documents, gives the factual state of the file, and hands any question of cover interpretation to the handler.

Can it file a claim on the policyholder’s behalf?+

It can do better: collect the complete declaration — circumstances, date, photos, third parties involved — check nothing is missing, and lodge it in your management tool for transmission to the insurer. The handler validates instead of retyping.

Is this the problem eating your team’s time?

Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.

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Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.