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BDR AI Organization

Enterprise Decision Intelligence Systems for Insurance & Regulated Markets

We build agentic AI systems that transform data into governed, auditable, and accountable decisions across claims, fraud, underwriting, and knowledge operations.


Design Principles

Our work is guided by four core principles:

Decision-first, not model-first

We design systems around business decisions, not AI capabilities. Every agent exists to support a specific, measurable decision outcome.

PoC to MVP to PRD lifecycle

We validate ideas quickly, iterate with real users, and scale only what works. Every project follows a structured maturity path.

Human-in-the-loop by default

AI recommends, humans decide. Our systems are built for collaboration, not replacement.

Auditability, governance, traceability

Every decision is logged, explained, and traceable. We build for regulated industries where accountability is non-negotiable.


Product Portfolio

ClaimsGPT

AI-powered insurance claim decision intelligence with document analysis and fraud detection.

  • Impact: 62% workload reduction
  • Capabilities: Multi-agent claim processing, explainable decisions, audit trails

FraudSimulator AI

Advanced fraud detection with pattern recognition and risk scoring.

  • Impact: +15% fraud precision
  • Capabilities: Anomaly detection, risk visualization, investigative workflows

Auto Risk Score Engine

IFRS-ready underwriting risk assessment and policy segmentation.

  • Impact: Automated risk banding
  • Capabilities: Explainable scoring, regulatory compliance, policy triage

Insurance Knowledge Agent

RAG-powered policy intelligence for clause resolution and compliance.

  • Impact: Instant policy expertise
  • Capabilities: Document retrieval, conflict resolution, version awareness

Architecture

All projects follow the BDR Agent Factory pattern:

  • Shared governance standards
  • Unified logging schemas
  • Decision JSON contracts
  • Security-first design

Get Started

Explore our repositories:

  • Datasets: Synthetic insurance data for validation
  • Models: Decision agents with formal contracts
  • Spaces: Interactive product demonstrations

Building decision intelligence systems for the future of insurance.