For commercial insurance brokers
How many hours a week do your brokers lose to paperwork?
Here’s a quick demo of something your firm probably does daily: comparing open-market quotes. We can build you a workflow to compare them in seconds.
This is just one idea. Get in touch and we’ll find where AI would help your firm.
Three sample insurer quotes for the same risk, in different formats, pulled into one comparison with the gaps flagged: the cheapest drops flood cover, halves the business-interruption period and hides a survey condition.
Potential efficiencies
10×
Documents handled per person
99%
Document routing accuracy
80%+
Straight-through processing of unstructured mail & email
Source: Deloitte AI-powered Input Management for Financial Services and Insurance Whitepaper
That's just one workflow. Your firm is full of them.
The demo above handles a single job. But brokerages run on documents, and most have the same time-sinks: staff sifting through PDFs, chasing what’s missing, and rekeying it somewhere else. Sound familiar?
Policy checking
Insurer documents come back, and someone checks them line by line against what was agreed, catching the errors before the client does.
Claims paperwork
Claims packs land as a jumble of forms, invoices and reports. Someone extracts the detail, spots what’s missing, and chases it.
Renewal prep & submissions
Current cover, claims history and client details pulled together into a submission the market will quote on, re-keyed from documents you already hold.
Wherever your team is shuffling documents by hand is an opportunity for a workflow to do the heavy lifting. Let's talk
Alan Bates | Founder, 10 Kinds
How can AI help insurance brokers?
Apart from pulling data out of documents, here’s where else it can work well for your firm:
Answers from everything your firm knows
Put a question to your whole knowledge base at once, like ‘which insurers will write a client with a late-notified claim?’ or ‘what’s our process when a client underdeclares?’, and get a cited answer drawn from your procedures, market knowledge and past cases. The stuff that currently lives in a few people’s heads, available to everyone.
Spotting what's hidden in your book
Surface the patterns you’d never catch by eye: clients who look underinsured, accounts likely to leave at renewal, cross-sell gaps across the book.
Making decisions, not just admin
Sort inbound claims and enquiries by urgency, flag the renewals that need a human, route each case to the right desk, before anyone’s opened them.
First drafts in seconds
Renewal reports, client letters, market submissions: drafted from the data you already hold, ready to check and send rather than write from scratch.
We can help you work out how best to apply AI in your firm. Get in touch
How we work together
Four tracks that run independently. Take one engagement, work through a track, or mix them. Every engagement is a fixed price against a written scope, with the deliverables named up front.
Orientate
1 AI Possibilities Session Is AI even a fit for us? Half a day with your leadership team on what AI can and can't do for an organisation like yours, before you commit to anything. From £1,500 Half a day +
- A plain-English tour of what current AI does well, and where it still falls over
- Worked examples relevant to your sector rather than generic demos
- A first pass at where AI might pay in your business, and where it wouldn't
- A written summary you can take to the board
- No obligation to do anything afterwards
Govern
1 AI Discovery Most popular What AI are we running, and where would it pay? Where AI is already being used across your business, where it should be, and whether your organisation can adopt it. From £5,000 Typically 1-2 weeks +
- A map of AI use across the business, including what nobody officially approved
- A ranked shortlist of where AI would pay
- Risk register covering data, suppliers and regulatory exposure
- A straight go/no-go on what to do next
2 AI Policy & Sign-off What are we allowed to do? What your organisation permits, decided and signed by your leadership. This sets the rules. Proving you follow them is the next engagement. From £3,500 Typically 1-2 weeks +
- Acceptable use policy: what's approved, what's off-limits
- Which decisions need a human, and at which point
- A named owner for every area of AI risk
- Facilitated leadership session ending in sign-off
- Board-ready policy document
3 Gap Assessment How far off are we from proving it? Where your controls stand against ISO/IEC 42001, clause by clause, and what it would cost to close the distance. Rules on paper are one thing; this tests whether you could evidence them to an auditor. From £4,500 Typically 2 weeks +
- Your existing controls mapped against ISO/IEC 42001, clause by clause
- A written gap list, ranked by what a customer or auditor asks about first
- Your AI inventory tested against what the standard asks for, or a first one built if you haven't got one
- The regulatory questions worth putting to a solicitor, and the ones already settled
- A remediation plan with the work costed, so the next decision is yours
4 Compliance Readiness How do we close the gaps? The remediation itself, scoped against the gaps we found rather than guessed at before we started. Quoted from your gap assessment A few weeks +
- The inventory turned into a live register, with an owner and a review cycle
- Controls and documentation mapped to ISO/IEC 42001
- AI Act-aligned controls and documentation, built to support your classification once it's confirmed
- Human oversight and incident handling you can point an auditor at
- Audit trail and evidence design
- Certification-ready documentation
Train
1 Team Training Day How do we get one team good at this? A working day with one team on where these tools help, where they go wrong, and how to tell. £2,500 1 day +
- Up to 10 people, with examples relevant to the work that team does
- Where AI is reliable, where it is confidently wrong, and how to tell
- Prompting and review habits pitched at real deadline pressure
- How to keep AI use inside whatever rules your organisation has set
- A written summary of what was covered, to circulate afterwards
2 Corporate Training Day How do we get everyone good at this? The same day run across departments, pitched by role, with a plan for what happens after everyone goes back to their desk. £3,500 1 day +
- Up to 20 people from more than one team
- A short call beforehand so the day is pitched at the right level
- Role-specific tracks rather than one session for everybody
- An adoption plan naming who owns what after the day
- A written summary per department, so nothing is assumed to have landed
3 Leadership & Board Day What are we signing off? For the people signing off AI use and answering for it afterwards. What you are approving, what to ask, and where the exposure sits. £5,000 1 day +
- What current AI does well and where it still falls over, without the vendor gloss
- Where AI would and would not pay across an organisation like yours, with examples relevant to your sector
- The questions to put to a supplier, a team or a consultant before saying yes
- A written summary you can take to the board
Build
1 Prototyping What is possible with our setup? Find out what's possible with your data and your workflows, before you scope anything bigger £3,500 / day Typically a 1-2 days +
- Booked by the day, usually one or two
- A focused, one-off build session, not an ongoing engagement
- Covers context, connections, automations and agents
- Run as a team session or one-to-one, your call
2 Custom Builds Can you build it and ship it? AI built into how your organisation works, not bolted on beside it. Project-scoped Weeks/months +
- Systems that know your business context, data and terminology
- Role-specific tools for the teams that need them
- Automated workflows running on a schedule, not on someone remembering
- A knowledge base that stays current as you do
Support
1 Advisory Retainer Who keeps this alive? Most consultants build it and leave. We stay on as the standing line to the team that built it. £1,500 / month Ongoing +
- Monthly strategy session
- Internal audit and management review on an annual cycle
- Surveillance audit preparation
- Updates on relevant AI advances and opportunities
- Advice on AI tooling and vendor sense-checking
- Quarterly AI capability benchmarking
Our commitments
Fixed scope, fixed price
Each engagement is quoted at a fixed price against a scope agreed in writing before we start. No day-rate creep, and no surprise on the invoice.
Named deliverables
You get the documents listed on each engagement at the end of it, so you can put them straight in front of a customer, an auditor or your board.
Start anywhere, stop anywhere
Nothing here is a bundle or a prerequisite. Come for training, a prototype or a retainer on its own if that's what you need, and stop whenever you're done.
Confidential from the first call
Everything you tell us stays between us, on the free call as much as in a paid engagement, and we'll sign your NDA beforehand if you'd rather have it in writing.
![map[class:w-full rounded-3xl object-cover object-center src:images/headshot.jpg]](https://www.10kinds.co.uk/images/headshot.jpg)
- Founder, Bazam.ai
- AWS Certified Generative AI Developer, Professional, AWS’s top certification tier
- Postgraduate Diploma in Business Administration
- Based in the UK, working globally
Alan Bates
Founder, 10 Kinds
AWS's top certification tier
AWS Certified Generative AI Developer, Professional
AWS’s Professional tier, the top of its certification ladder. It’s the level AWS reserves for people already designing and running generative AI systems in production, not for anyone learning the basics.
Verify on CredlyAlan Bates is the founder of 10 Kinds, an AI consultancy that helps organisations get control of the AI they already use, then build valuable tools & workflows. He’s spent over 20 years working hands-on in technology, including multiple years at household names in media, telecoms and finance.
Alan is also the founder of Bazam.ai, an automated content marketing platform sold B2B. He also holds a Postgraduate Diploma in Business Administration, giving him formal grounding on the commercial side as well as the technical.
Building and shipping AI products himself is what shapes the judgement behind 10 Kinds’ advice: the controls an engineering team will follow, rather than the ones that read well in a policy document. The team works with leadership and engineering groups to find where AI risk sits, gets organisations ready for the moment someone asks them to prove it, and builds the systems that change how the business runs.
"Governance advice from someone who builds AI products, not someone who's only ever advised on them. I can talk risk and controls, and translate between compliance-speak, tech-speak and actual English"
Questions
What does 10 Kinds do? +
We help brokerages work out where AI is worth using, then make it happen: setting the strategy, steering what gets built, and sense-checking any vendors you’re considering.
That covers both strategy and implementation, either hands-on or finding and managing the right suppliers.
How can you help our firm specifically? +
We find the high-ROI places AI fits your workflows, then build a strategy to take the grind off your staff, so they spend time on clients and judgement, not rekeying.
Do we need to know anything about AI? +
No. That’s the point. We provide the AI expertise so you don’t have to develop it in-house or take vendor claims at face value.
Can you build things, or is it just advice? +
Both. We can run a full prototype sprint or custom build, work alongside your existing developers, or brief and oversee an external supplier. The right approach depends on what you’re building and what capability you already have.
Is our data safe? +
Yes. Anything we build runs on infrastructure scoped to your firm, sees only the documents you point it at, and never feeds public AI models.
How do we get started? +
Book a free 30-minute call. We’ll get to know your firm, give you a straight read on where AI could help, and agree what the right next step looks like, whether that’s a prototype, a workshop, or something else entirely.
Start with a conversation
Half an hour on where you stand: what AI is running, how well your people use it, and what would be worth automating. Bring a customer questionnaire if that’s what brought you here.
You'll leave with a clear position on where you stand and what to fix first, whether or not you hire us.