CFC (London) logo

Lane Assist agentic underwriting pilot for cyber (CFC)

by CFC (London) · Managing general agent

Market unit: GB

no ratings

CFC, a London-based specialist insurance provider and MGA, launched Lane Assist in April 2026 as a pilot of agentic underwriting in its Cyber underwriting team. The AI agent reads new-business submissions arriving by email, extracts the data and builds a quote recommendation in seconds, applying CFC's established underwriting rules; it targets low-complexity, high-volume risks. In the pilot, a small number of real submissions are handled in live workflows, and every recommendation is reviewed, checked and approved by an underwriter before anything is issued; CFC reported quoting its first policy this way. No performance results have been published, and a broader roll-out depends on the pilot outcome. The vendor or build approach is not disclosed.

Natural language processingSpecialty insurance
Compare this solution

1 free view left this month

Business context

Value chain steps
Underwriting and risk assessmentApplication and onboarding
Insurance branches
Specialty insurance
Application scope
Internal only
Country or market unit
GB

Value and impact

Added value category
Efficiency gain

Technical details

AI category
Natural language processing

Compliance and governance

EU AI Act risk category
Not available
EU AI Act role
Not applicable
Relevant policies
Other

Publications over time

When this solution was reported on. Rumors are unverified mentions.

Community

Average rating

0.0 · no ratings

Comments

Log in to join the discussion.

No comments yet. Be the first to comment.

Related solutions

Swiss Re applies AI to review and manage contract wordings across its in-force reinsurance business, led by Group Underwriting's Contracts & Wordings Services and P&C Reinsurance underwriting. An existing Swiss Re application combines keyword search with conversational AI so that underwriters and contract specialists can query large contract volumes, while GenAI-enabled analytics identify wording patterns, accumulations and discrepancies across portfolios. Swiss Re stated in June 2026 that these capabilities are being introduced incrementally into production and are still at an early stage. No metrics are published beyond the baseline that a 2020 COVID-19 wording review of tens of thousands of contracts took about 45 days. Underwriters remain responsible for interpretation and decisions.

Generative AINatural language processingNon-life reinsurance
Understand
no ratings32017

Generali France uses Akur8's transparent machine-learning platform for non-life rate-making, automating risk and demand modelling for P&C personal and commercial lines while keeping models transparent and auditable. A multi-year partnership was announced on 23 March 2021 after joint work from summer 2020, with the aim of faster time to market and more targeted prices. Generali France's actuarial studies manager reported five times faster modelling (customer quote in vendor materials). No newer public figures or updates on the deployment were found for 2024-2026; Akur8 still lists Generali France as a reference use case.

Machine learning and predictive analyticsProperty insuranceMotor vehicle insurance
ReasonAI Development Index (ADI) 12/36
no ratings02216

Aviva uses generative AI to read medical reports and condense them into short summaries that highlight what underwriters need, roughly halving underwriters' review time per case. The tool launched for individual life insurance applications in November 2025 and was extended to individual critical illness cover in March 2026; income protection is the next focus.

Generative AINatural language processingIndividual life insurance
Understand
no ratings31521