Agentic AI
Autonomous AI agents that score risk, surface findings and route decisions with audit-grade evidence chains. From life and health underwriting to P&C claims, every rule fired, every source cited, every routing decision justified.
AI agents that autonomously analyse insurance transactions (e.g., underwriting cases, claims, FWA) against your rule sets and knowledge bases.
They surface evidence, score risk, justify findings and route for approval, denial or human review, with full traceability for every decision.
Speed Up Decisions. Reduce Risk. Cut Leakage.
Deep Research
Multiple agents (Planner, Rule Executor, Observer) work the assessment together in an iterative, evidence-building loop, not a single LLM call.
Your Rules
Import existing rule sets from PDF, Excel or unstructured sources with AI extraction. Build new rules through natural language. Define reasoning depth and scoring.
Human-in-the-Loop
Human reviewers may approve, modify or override decisions. Feedback refines rules and models through a closed-loop continuous improvement cycle.
Structured Outputs
Each assessment returns a structured object (with risk score, categorised findings, attachment analysis and routing recommendation) ready for your experts and core.
Knowledge Integration
Ground assessments in your underwriting manuals, claims precedents and regulatory guidance, with optional external research where needed.
Transparent, Explainable and Human-Supervised
Full Explainability
Every risk factor identified with supporting evidence, clear rationales and citations back to source documents and rules.
Audit-Grade Logs
Human Oversight
Reviewers approve, modify or override every recommendation. Human decision-makers retain authority for high-stakes cases.
AI Act Ready
Built to meet strict regulatory requirements including the EU AI Act: explainable, traceable and human-supervised by design.
Unlock the power of multi-agent operations for holistic, integrated workflows.
