Spend less time on admin, more time advising — AI for UK insurance brokers
From automated quote comparison to intelligent claims processing and renewal management — AI that handles the paperwork so your brokers can focus on clients. Production-ready in 4–8 weeks.
How we de-risk this: free demo → paid discovery (half up front, half on spec delivery - you own the spec) → then the full build. No black boxes.
The AI stack we build on
82%
Believe AI will dominate insurance
60%
Broker time spent on admin
14%
Brokerages fully AI-integrated
£8M+
Seed rounds in InsurTech AI
Why Insurance Brokers Choose AI
AI goes beyond simple automation for brokerages. It handles the complex, time-consuming tasks that keep your brokers tied to their desks instead of advising clients and winning new business.
Quote Comparison Automation
AI agents query multiple insurer panels simultaneously, extract key terms, compare pricing and coverage, and present ranked options in minutes — not hours. Your brokers get straight to advising instead of copy-pasting between portals.
Claims Processing
Automate FNOL intake, document collection, and insurer notification. AI tracks claim progress across carriers, flags delays, and keeps clients informed — reducing average handling time by 50-70% while improving client satisfaction.
Policy Document Analysis
AI reads, extracts, and compares policy wordings in seconds. It identifies coverage gaps, exclusions, and sub-limits across documents — work that takes experienced brokers hours to do manually for complex commercial risks.
Client Communication
Automated yet personal client outreach for renewals, mid-term changes, and claims updates. AI drafts communications in your tone, manages follow-ups, and ensures no client falls through the cracks during busy periods.
Compliance & Regulatory
Built-in FCA compliance with audit trails for every recommendation. AI generates demands-and-needs statements, suitability reports, and Consumer Duty documentation — reducing compliance risk while saving hours of manual record-keeping.
Renewal Management
AI reviews upcoming renewals 90 days out, analyses claims history, re-brokers where appropriate, and drafts client-ready renewal reports. It turns a reactive scramble into a proactive, revenue-generating workflow.
See AI handle your policy comparisons — in a free 30-minute demo.
Book demoBroker Efficiency Calculator
See how much capacity AI could unlock for your brokerage. Adjust the inputs to match your operation and discover your revenue opportunity.
Annual revenue opportunity
£36,600
Admin hours recoverable per week
65 hrs
Additional policies handleable
488
across the brokerage
Monthly hours recovered
260 hrs
across 5 brokers
Recommended AI solutions
Estimates assume AI can automate ~65% of admin and quoting tasks. Revenue opportunity based on 15% average commission rate. Actual results depend on your workflows, insurer panel, and data complexity.
How We Deploy AI in Your Brokerage
A proven four-step process designed for insurance brokers — from understanding your workflows and insurer panel to integrating with your broker management system, with FCA compliance built in at every stage.
- 1
Brokerage Audit
We map your current workflows across quoting, placement, claims, and renewals. We review your tech stack — Acturis, SSP, Open GI, or others — and identify where AI delivers the highest impact. Clear success metrics are defined before any code is written.
- 2
Solution Design for Insurance
Our engineers design AI agents tailored to insurance workflows. We build integrations with your broker management system, insurer portals, and communication tools. Every automated decision includes compliance checkpoints and audit trails to satisfy FCA requirements.
- 3
Integration & Compliance Testing
AI agents are connected to your live systems and tested across real-world scenarios — complex commercial placements, mid-term adjustments, claims workflows, and renewal cycles. We validate accuracy, regulatory compliance, and data security before going live.
- 4
Launch, Train & Optimise
Post-launch, we train your team on working alongside AI, monitor performance through dashboards tracking time savings and placement accuracy, and continuously refine agent behaviour as your book of business evolves.
AI-Assisted vs Manual Brokerage Operations
The gap between AI-assisted and manual brokerages is widening. Brokers using AI handle more policies, place faster, and retain more clients — here is how the operations compare.
| Operation | Manual Brokerage | AI-Assisted Brokerage |
|---|---|---|
| Quote Comparison | Hours of manual portal-hopping per risk | Multi-insurer quotes aggregated and ranked in minutes |
| Policy Analysis | Senior broker reads full wordings manually | AI extracts and compares key terms across documents instantly |
| Claims Handling | Manual FNOL, chasing, and status updates | Automated intake, tracking, and proactive client updates |
| Renewals | Reactive — often started weeks before expiry | Proactive 90-day pipeline with automated re-broking analysis |
| Compliance | Manual demands-and-needs and suitability docs | Auto-generated with full audit trail and FCA alignment |
| Client Comms | Ad-hoc emails and phone calls | Automated, personalised outreach with follow-up sequences |
| Data Entry | Re-keying across multiple systems | Single entry synced across broker management system and CRM |
| Capacity | Limited by broker headcount | Scale policy volume without proportional hiring |
Types of Brokerages Using AI
AI delivers measurable results across every segment of the insurance broking market. These are the brokerage types seeing the strongest returns from automation.
Personal Lines Brokers
Commercial Lines Brokers
Specialist & Niche Brokers
Lloyd's Brokers
MGA Operations
Claims Management
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Frequently Asked Questions About AI for Insurance Brokers
See AI handle your policy comparisons — free demo
In a free 30-minute session, we'll show you exactly how AI automates quote comparison, renewal management, and claims processing for your brokerage — using scenarios from your actual book of business.
- Free demo on your real data - no commitment
- Paid discovery phase - half up front, half on spec delivery. You own the spec.
- Only then do we commit to the full build