Introduction
Meshed is reshaping commercial insurance by combining purpose-built AI with a transparent 10% flat fee. Focused on mid-market businesses earning £1M to £30M ARR, Meshed aims to replace opaque commission models with predictable pricing and faster service.
AI-Powered Efficiency and the Flat-Fee Revolution
Meshed applies machine learning to standardize complex tasks such as risk scoring, policy assembly, and claims triage. Automation lowers operational cost per account, allowing the company to offer commercial insurance at a 10% flat fee instead of traditional variable commissions. For mid-market clients, that translates to clearer pricing and fewer billing surprises. Integration with accounting systems supports near real-time cover adjustments so policies follow business activity rather than static annual reviews.
Proprietary Technology and Customer Trust
Rather than retrofit legacy platforms, Meshed built its platform in-house to embed AI at every step. This avoids brittle integrations and enables continuous model updates. The company pairs AI outputs with a “trust but verify” workflow: human specialists validate edge cases, audit model decisions, and satisfy regulatory reporting. Meshed also offers complimentary cyber risk assessments and provides its technology to intermediaries through a partnership model, expanding reach while preserving data controls.
Vision for the Future of Broking
Meshed is designing an adaptable AI architecture meant to absorb future advances in agent automation. The roadmap includes synthetic employees, or AI agents, that can perform routine broker tasks at scale while humans retain oversight for judgment calls. That architecture positions Meshed to scale service quality as volumes grow without reintroducing legacy bottlenecks.
Conclusion
By combining in-house AI, accounting integration, human oversight, and a simple 10% flat fee, Meshed targets an underserved mid-market and offers a more efficient, transparent approach to commercial insurance. The company represents a clear example of how AI can reduce cost, speed service, and refocus brokers on customer experience.
