Industries / Insurance brokers

Insurance brokers

AI agents for broking teams, built around renewals, submissions and claims.

AI agents can take real weight out of a broking office: renewal preparation, submission drafting, policy summaries and claims chasing. We design and build them inside your own Microsoft 365 tenant, with client confidentiality and FCA record-keeping in view from the start.

FiveForward designs and builds AI agents for UK insurance brokers inside Microsoft 365, covering renewal preparation, submissions, policy document summaries and claims follow-up, so files move faster while placement decisions, advice and sign-off stay with the broker.

Broking work is heavy in exactly the areas AI agents for insurance brokers handle well: correspondence, chasing, summarising long documents and finding the right information across email, files and templates. Renewals, mid-term adjustments, market submissions and claims all leave a long email and document trail behind them, and much of that trail is repeatable work an agent can carry.

We start with the file, not the feature list. Discover and Design map the repeatable jobs around Outlook, Teams, Word and the documents brokers actually handle, then we build Copilot Studio agents in your own tenant for renewal preparation, intake and claims follow-up, with agreed review points on every agent. Where your firm wants to build for itself, we train a builder team to ship and maintain its own agents from the same roadmap.

The aim is not to hand placement decisions or advice to a tool. Agents assist brokers, they do not replace them. They cut the drafting, summarising and chasing time around each file, so brokers spend more of the day on clients and markets and less of it retyping what the file already says.

Our work follows the FiveForward Framework, a five-stage method covering Discover, Design, Enable, Automate and Embed.

Broking workflows

Where agents earn their place on the file.

A useful agent programme in a broking firm is built around the file: renewals, submissions, mid-term changes and claims. These are the workflows agents and Copilot usually take weight out of first.

Renewal preparation

An agent assembles the file summary, expiring terms and open queries before the broker starts, then drafts renewal invitations, chasers and confirmations so the broker checks cover detail and tone rather than typing each one from scratch.

Submission preparation

Assemble market presentations from proposal forms, file notes and previous placements, leaving the broker to sharpen the risk story before it goes to market.

Policy document summaries

Summarise wordings, schedules and endorsements before client calls, with the source document still the reference for any statement about cover.

Claims follow-up

Keep clients informed through a claim with drafted updates and chasers for review, and turn insurer responses into clear next steps for the file.

File notes and call summaries

Turn calls and meetings into consistent file notes quickly, so the client record stays complete without the write-up eating the afternoon.

Internal knowledge

An agent answers questions from procedures, wordings guidance, templates and previous placements across SharePoint, so the answer no longer depends on the longest-serving person in the office.

Jobs for agents and automation

  • A renewal preparation agent that assembles the file summary, expiring terms and open queries before the broker starts, then drafts the renewal correspondence for review
  • A new-enquiry intake agent that gathers risk information from emails and proposal forms and prepares a structured handover
  • A policy summary agent that turns wordings, schedules and endorsements into briefing notes, with the source document still the reference for any statement about cover
  • A submission preparation agent that assembles market presentations from proposal forms, file notes and previous placements
  • A claims follow-up agent that drafts chasers and client updates for review and turns insurer responses into next steps for the file
  • An internal knowledge agent that answers questions from procedures, wordings guidance and templates in SharePoint

Risks to manage

  • Client and policy data is pasted into public AI tools because the firm has no agent that does the same job inside its own tenant
  • An agent's summary of a wording is treated as the wording itself and a cover detail gets missed
  • Permissions are too broad, so an agent grounded in shared mailboxes and open folders surfaces client material further than the file team
  • An agent is built on file data nobody trusts, gives shaky answers and brokers quietly stop using it

Where agents fit

Where agents fit in a broking firm

Agents earn a place in broking once a task is repeatable, the source material is controlled and the output is treated as preparation for a broker, not a decision about cover. That test comes out of Discover and Design: which jobs around the file repeat, which documents can be trusted as sources and who owns the review point on each agent.

The practical territory is renewal preparation, guided intake for new enquiries, claims follow-up and internal knowledge. Placement decisions, advice on cover and anything a client relies on keep a named person responsible.

Everything runs inside your own Microsoft 365 tenant. Agents inherit the permissions the firm already manages, data stays inside the Microsoft 365 service boundary and the broking system keeps its place as the system of record.

A renewal preparation agent that assembles the file summary, expiring terms and open queries before the broker starts

A new-enquiry intake agent that gathers risk information and prepares a structured handover

A claims follow-up agent that drafts chasers and status updates for review before they are sent

An internal knowledge agent for procedures, wordings guidance and templates

Common questions

Questions broking firms usually ask before building.

Is our client data safe with AI agents?

The agents we build run inside your own Microsoft 365 tenant and inherit the permissions you already have, so an agent can only see what the person using it can see. Data stays inside the Microsoft 365 service boundary and is not used to train models. Broking files hold sensitive client and claims information, so permissions hygiene is checked during Discover before any agent is grounded in your files.

Can an agent read and summarise policy wordings?

Yes. An agent can summarise wordings, schedules and endorsements and pull out the points worth checking before a client call. The summary is preparation, not the policy. Any statement to a client about cover is checked against the document itself, and that review point is built into the agent's design.

Which agents suit a broking office first?

Renewal preparation is usually the strongest candidate: an agent that assembles the file summary, expiring terms and open queries before the broker starts. New-enquiry intake, claims chasers drafted for review and an internal knowledge agent for procedures and wordings guidance follow close behind. Discover and Design confirm the order for your firm, based on frequency, source data and who owns each task.

Will agents work with our broking system?

Agents are strongest across Outlook, Teams, Word and SharePoint, which is where most of the correspondence and document work around a broking system already happens. Where the system has a usable connection, Power Automate can move data between it and Microsoft 365, and we are honest at Design about what each platform can and cannot reach before any price is fixed.

Do agents help with FCA record-keeping?

They can make file notes, call summaries and claims correspondence quicker to produce and more consistent, which supports the client record. Retention and data settings sit in Microsoft 365, and responsibility for compliance stays with the firm. An agent is an aid to the record, never a substitute for it.

Will agents replace brokers?

No. Agents take on the repeatable preparation around the file: assembling summaries, drafting correspondence and chasing. Placement decisions, advice on cover and anything a client relies on keep a named person responsible, with agreed review points on every agent before its output goes anywhere.

What do AI agents cost for a broking firm?

The first paid step is Discover at £1,500 fixed, which covers Discover and Design together and is priced for organisations up to around 50 staff, with larger firms scoped individually on the free consultation with the same credit terms. The fee is credited back in full once follow-on spend passes £3,500 before VAT within 90 days of the roadmap. Scoped agent builds are typically £5,000 to £15,000 depending on the number of agents, the systems they connect to and the state of the source data, fixed at Design before work begins. Ongoing support through Embed runs from £750 a month with a three month minimum.

Can our own team learn to build agents?

Yes. One route from Design is a build-with-you programme at £3,950 fixed: your team ships its first agents and automations from the roadmap with us alongside, over two delivery days with two build reviews and 90 days of async support answered within 2 working days. Agent workshops also run from £850 and end with a working first agent built and running in your tenant. A first declarative agent takes about 15 minutes to build in a workshop. Where a firm also wants end user Copilot adoption training, that is arranged through our training partner.

How do we get started?

Book the free 30 minute consultation. There is no pitch and no obligation, and one path for everyone. Discover and Design then map the file work worth improving and end with a workflow map, prioritised agent use cases and a costed roadmap, played back in a session of about an hour where you pick the route and the price is fixed. Most scoped builds take two to six weeks from Design sign-off.

Recommended starting point

Copilot Studio Agent Builds

Custom agents grounded in the right knowledge and built for defined jobs, in your own tenant.

Most firms start with Discover, a fixed-fee first step that maps your workflows and finds the agent opportunities before any build. Details are on the pricing page.