Commercial insurance brokerage
DocBeaver helps commercial brokers adopt AI safely by improving document-heavy workflows around renewals, MTAs, claims, compliance QA and bordereaux, while keeping advice, coverage decisions and regulated judgement with humans.
24/7 AI worker that organises document workflows scattered across company processes, email and other sources into an observable, controllable workflow. Also handles document-related tasks such as data entry, document formatting, and information extraction.
24/7 AI worker that can be asked about company processes, documents, policies, orders and other documentation. Useful for onboarding and clearer understanding of processes, workbooks and document requirements.
24/7 AI expert that understands complex company-specific and scientific terms, standards and requirements.
24/7 AI worker that understands the customer's project, specifications and requirements, as well as company policies, and helps customers with project questions.
24/7 AI worker that helps customers by phone, understands the company's expertise, product and service list, policies, and customer preferences; handles appointments and bookings.
Average time and cost savings
These bottlenecks reflect document-heavy commercial broking workflows: BMS-centred records, Microsoft 365 working files, insurer and MGA portals, placement systems, PDFs, spreadsheets, client evidence and compliance review.
The official policy record may sit in the BMS while working documents, underwriter clarifications, client instructions and portal outputs sit elsewhere.
SolutionDocument matching, permission-aware search and version control link related records across repositories and identify the current approved evidence.
See Use CaseProposal forms, exposure schedules, claims histories, surveys, quote documents and client updates are repeatedly translated into BMS fields, portals and letters.
SolutionDocument intake, classification and extraction convert repeated document inputs into structured review data while preserving source links.
Renewals depend on updated exposure data, claims experience, market review evidence, quote comparisons, client decisions and changed-cover explanations.
SolutionRenewal pack automation assembles documents, compares current and prior schedules, tracks follow-up questions and flags missing fair-presentation evidence.
Reviewers need evidence for demands and needs, advice, market exercise, remuneration disclosure, product governance, client instructions and policy issue.
SolutionConfigured QA checks locate required documents, surface gaps and prepare audit-ready trails before compliance review.
After bind, brokers still chase schedules, endorsements, certificates, debit or credit notes, claims evidence, adjuster correspondence and settlement records.
SolutionPost-bind workflow automation assembles evidence packs, checks revised documents against instructions and routes insurer or premium exceptions for review.
Renewals depend on updated exposure data, claims experience, market review evidence, client instructions, quote comparisons, recommendation records, acceptance evidence, invoices and final policy documents spread across several systems.
Expected reduction in administrative renewal handling on document-heavy cases.
Commercial placements rely on PDFs, Excel schedules, prior-year documents, claims runs, survey reports, photos, underwriter emails, quote documents and portal outputs. Errors often come from inconsistency between documents.
Expected reduction in placement administration for suitable mid-market commercial files.
MTAs require coordination between the client instruction, insurer endorsement, revised schedule, certificate, additional or return premium, finance adjustment and final filing.
Expected reduction in routine MTA handling time, with human approval retained for coverage, advice and premium exceptions.
Claims evidence is usually spread across FNOL records, emails, photos, invoices, policy documents, endorsements, certificates, adjuster correspondence and settlement records.
Expected reduction in claims evidence preparation for document-heavy claims.
Compliance reviews lose capacity when reviewers first need to locate demands-and-needs records, recommendation evidence, disclosure documents, client instructions, market exercise records, acceptance evidence and policy issue documents.
Expected reduction in evidence-location time. Compliance judgement remains with the reviewer.
Scheme, delegated-authority, insurer-statement and premium-finance processes require repeated reconciliation between Excel, BMS accounting, insurer statements, bordereaux templates, premium-finance documents and payment records.
Expected reduction in repetitive reconciliation effort where document formats and source systems are sufficiently stable.
Document-cycle dashboard
DocBeaver can implement dashboards that show the operational state of document workflows across renewals, MTAs, placements, claims, compliance and finance instead of leaving status hidden inside isolated systems.
Approval points can be configured with approver, timestamp, document version, decision and rationale. The automation prepares evidence and exceptions; the broker keeps control of advice and regulated decisions.
Implementation model
Deployment can begin with one high-friction process such as renewal packs, MTA handling, market submission control, compliance file pre-check, claims evidence packs or bordereaux reconciliation.
Expected business outcomes
These are planning ranges, not guaranteed results. Final numbers depend on system access, document quality, workflow standardisation, integration permissions, approval requirements and repeatable case volume.
| Outcome | Typical target |
|---|---|
| Renewal administration reduction | 50-70% |
| Routine MTA handling reduction | 45-70% |
| Placement administration reduction | 40-65% |
| Claims evidence preparation reduction | 45-70% |
| Compliance evidence-location reduction | 60-80% |
| Reconciliation effort reduction | 40-70% |
| Additional QA pre-screening capacity | 2-4x |
| Document-search time | Often 10-30 minutes down to under 2-5 minutes |
Evidence base
BIBA's 2025 Manifesto notes £105.5bn of gross written premiums through brokers across all lines, including £89bn in commercial lines.
LexisNexis Risk Solutions' 2019 survey says 60% of brokers handle underwriting and pricing mostly manually, and about 64% handle claims manually.
BIBA's AI guide helps brokers understand how AI might be incorporated into their business, including regulatory, legal and compliance considerations.
FCA TR24/2 says many manufacturers were not adequately evidencing fair value, and most distributors did not fully understand remuneration and value responsibilities.
Start with one workflow: renewals, MTAs, placements, claims, compliance QA, bordereaux or finance reconciliation.
