Your policies are 80 years old. Your AI models are 6 months old.
Policy and claims systems have survived 40 years of mergers and partial migrations. We make them exploitable by dynamic pricing models and AI underwriting agents — without rewriting your back-office.
Insurance sector challenges
Policy systems from 80s-90s
Back-office stacking from mergers, duplicated data, slow updates.
Dynamic pricing
Competitive pressure, demand for personalised pricing in seconds.
Claims & climate
Rising extreme events, actuarial models to rebuild, geospatial data to integrate.
Generative AI & quotes
Growing demand for conversational quotes, ACPR compliance to respect.
Proven use cases
Policy back-office modernisation
API in front of legacy, customer duplicate consolidation, 360° view. New products shipped in weeks not quarters.
AI underwriting agent
Conversational quote, risk profile evaluated by model, human expert fallback. Conversion up, quality preserved.
Claims declaration automation
OCR + structured extraction of files, automatic classification, conditional escalation. Customer is called back within the hour.
Insurance methodology
Data audit
Source mapping, policy and claims data quality, blocker identification.
Pilot on product line
Isolated use case, measurable ROI, actuarial & compliance validation.
Industrialisation
Multi-line deployment, integration into underwriting and claims workflows.
Continuous improvement
KPI monitoring, periodic retraining, model governance.
Data audit
Source mapping, policy and claims data quality, blocker identification.
Pilot on product line
Isolated use case, measurable ROI, actuarial & compliance validation.
Industrialisation
Multi-line deployment, integration into underwriting and claims workflows.
Continuous improvement
KPI monitoring, periodic retraining, model governance.
Concrete impact
“AI underwriting agent in production on our site. Conversion +18%, complete files from first interaction, controlled human escalation.”
“OCR + extraction on 30,000 claim files per month. Common handling time divided by 3. Advisors freed for complex cases.”
Modernise your insurance, not tomorrow — now
Let's discuss your back-office, your AI strategy and the first costed phase we can commit to.