From FNOL triage and computer vision damage assessment to autonomous settlement and AI-powered fraud detection — TechProf builds insurance AI that transforms the claims experience for customers and cuts operating costs for insurers. FCA aligned. Lloyd's market aware. Production deployed.
From the moment a customer opens the app to the point of settlement — AI handles triage, damage assessment, fraud checks, reserve setting, and payout authorisation. Human handlers focus on complex cases where their expertise adds genuine value.
TechProf understands the complexity of the Lloyd's and London insurance market — from managing agents and syndicates through to coverholder frameworks. Our AI systems integrate with ACORD standards, Sequel, and market messaging infrastructure so they fit into existing workflows rather than replacing them wholesale.
For personal lines and direct insurers, we build full-stack claims platforms — from customer-facing FNOL apps through to back-office settlement engines and regulatory reporting.
Real systems solving real claims challenges — from motor FNOL to commercial property, all deployed in live insurance operations.
Autonomous motor claims triage for a top-5 UK insurer. Computer vision analyses photos within seconds — classifying damage, setting reserves, matching network garages, and authorising payout for Cat 1–2 claims in under 5 minutes. NPS uplift of +42 points.
Multi-layer fraud detection across motor, property, and liability lines. Staged accident pattern recognition, social network analysis of claimants, and behavioural biometrics. Fraud leakage reduced by 34% in year one — £6.2M saved annually.
Real-time risk scoring engine using telematics data — trip-level driving behaviour, contextual risk factors, and claims history — to generate dynamic renewal quotes. Loss ratio reduced by 18% for the motor book within 18 months of deployment.
AI triage system for commercial property claims — satellite imagery analysis, structural damage modelling, BI interruption estimation, and automatic escalation routing. Claims handling time reduced from 14 days to 3 days for 70% of the portfolio.
Omni-channel AI for first-contact claims reporting — voice, app, and web. Guides customers through FNOL, captures all required evidence, and hands off complex cases to human handlers with full context pre-populated. 78% of claims started without agent involvement.
Automated Solvency II data aggregation, validation, and XBRL submission pipeline for a mid-market insurer. Quarterly reporting cycle reduced from 12 days to 18 hours. Zero regulatory breaches since deployment in 2023.
Insurance AI that actually ships — built around the realities of claims workflows, legacy policy admin systems, and FCA governance requirements.
Map your claims data landscape, fraud exposure, leakage points, and straight-through processing opportunities. Quantify the ROI case in days before any build begins.
Target architecture built around your existing policy admin, claims management, and network partner systems — not as a replacement but as an intelligence layer on top.
AI runs in parallel with existing processes first — building confidence through champion-challenger evaluation before taking autonomous decisions on live claims.
Monthly model reviews, fraud pattern updates, regulatory change integration, and expanding STP thresholds as the model proves its accuracy on your claim types.