Most AI initiatives in insurance fail because they bolt intelligence onto broken processes and disconnected data.
The Alphient approach is different. With Prime (pro-code) and Prime (low-code), we start with three pillars:
Structured Knowledge
- Loss pattern intelligence compounding across the book
- Claims pattern recognition across the entire book
- Risk context assembled automatically per submission
Automated Process Packs
- Portfolio orchestration guiding where to grow
- FNOL triage to settlement with decision gates
Intelligent AI Agents
- Routine assessment automated human judgment where it matters
- Initial risk assessment underwriters on judgment calls
- Rating engines adapting to client context instantly
The business questions this unlocks:
- Book Composition
- Combined Ratio
- Underwriter Throughput
- Quote-to-Bind Speed
- AI Across the Book
AI agents for book composition, combined ratio optimisation, underwriter productivity, and claims automation.
Knowledge. Process. Agents. That is the transformation formula.