A closer look at the AI strategy, integration architecture, tooling, and DevOps practices that make AI-driven insurance real.
We don’t bet on one AI provider. We integrate the best tools available today and continuously curate our stack as the landscape evolves. Local models for privacy and speed, cloud models for capability, agentic AI for automation.
Private, on-premise AI that runs on your hardware. No data leaves your network. Fast inference for real-time operations.
Best-in-class cloud models for complex reasoning, document analysis, and advanced language tasks.
Autonomous AI agents that execute multi-step insurance workflows — from document processing to configuration management.
We build the full insurance application framework. Decades of insurance engineering experience have been captured in rwElements — the knowledge base. The models that enhance AI² are trained on this foundation. Our integration and deployment services focus on the AI tooling that leverages rwElements and the process of deploying it into production — resilient, fast, flexible, and AI-hook enabled to allow AI to build features at low cost whilst maintaining integrity, maintainability, and performance.
Custom Model Context Protocol servers that give AI agents direct, structured access to insurance systems, configurations, and knowledge bases.
Safety layers that validate AI actions before execution. Every agent operation is checked against business rules and approval workflows.
Insurance-domain prompts refined through thousands of real operations. Context-rich instructions that produce accurate, auditable results.
Continuous fine-tuning on anonymised insurance data. Models that understand your terminology, products, and processes.
Decades of insurance operations captured as structured knowledge. rwElements is the living memory that trains AI² and makes it actually intelligent.
rwElements started with deep entity modelling — NoSQL extensions, JSON by default, compiled pages from data-driven designs. Every structure has been built to support insurance policy processing across every scenario we've encountered. The result is a comprehensive model that covers:
To enable the AI, we curate, evolve, and work close to the exciting developments in this fast-moving field. We don’t wait for the industry to settle — we actively integrate, benchmark, and deploy the best tools as they emerge.
Automated document generation produces policy wordings, schedules, and correspondence from structured templates and live data. Multi-agent orchestration coordinates AI agents across workflows — from document processing to configuration management to deployment. Intelligent code generation builds features, tests, and integrations directly from insurance domain knowledge. Retrieval-augmented generation grounds every AI response in verified data from rwElements and live systems. Workflow automation handles the repetitive processing that ties up experienced staff. Image & document scanning extracts data from scanned documents, photographs, and legacy paperwork into structured records.
If it happens in the system, there’s an API service for it. A strong interface layer standardises integrations across the platform — reducing integration cost and complexity regardless of provider.
Our accounts integration is live to API-enabled platforms — cloud and on-premise. Open source and general market. The Insurance Ledger Manager builds simple to complex transactions direct into accounting systems, eliminating manual re-keying and reconciliation delays.
Of course we have an AI for this. Woody is the head of our AI DevOps team — trained with patterns, scripts, and operational knowledge to automate routine infrastructure across AWS, Azure, and on-premise environments.
Every tool in the chain is chosen for reliability, team productivity, and AI compatibility. No exotic stacks — proven, well-supported tools that work together.