Expert.ai sharpens its insurance AI with EidenAI Suite enhancements
At ITC Vegas 2025, Expert.ai introduced updates to its EidenAI Suite that focus on three high-impact areas: underwriting, claims, and policy servicing. The goal is simple: move faster, reduce leakage and risk, and scale without adding complexity.
Built on a Hybrid AI approach that blends neuro-symbolic natural language understanding, knowledge graphs, and machine learning (including large language models, generative and agentic AI), the solutions include governance and monitoring so you can adopt AI with auditability and control.
What's new
- EIX-Underwriting: Automates ingestion and data extraction from unstructured submissions and supports risk evaluation at scale. Works across all commercial lines, including admitted and E&S, and holds up under peak volume.
- EIX-Claims Automation: Classifies incoming documents, extracts critical data, flags legal demands, and summarizes medical records. Aims to speed decisions, cut leakage, and improve claimant and customer experience.
- EIX-Policy Servicing: Automates endorsement, audit, and renewal workflows end-to-end with traceable, compliant processes that help lower operating costs and improve service levels.
Why this matters for insurers
- Operational lift without chaos: Workflow automation from intake through decisioning, built to integrate and scale.
- Oversight by design: Governance and monitoring are built in for safe, transparent adoption.
- Commercial lines coverage: Supports admitted and E&S submissions and document-heavy claims environments.
- Faster cycle times: From submission triage to claim routing, automation reduces handoffs and bottlenecks.
- Leakage control: Better document intelligence, legal demand detection, and medical summarization support consistent decisions.
"Insurers are under tremendous pressure to process more data, faster, while keeping costs and risks in check," said Nick Carter, Senior Director at Expert.ai. "With our Hybrid AI approach and the latest EidenAI Suite enhancements, insurers can deploy automation where it delivers measurable financial and customer satisfaction results, without adding complexity or compromising oversight."
Practical use cases you can deploy now
- Underwriting: Submission intake and triage, appetite and assignment, risk attribute extraction, broker correspondence processing.
- Claims: FNOL document classification and routing, coverage data extraction, legal demand identification, medical record summarization, SIU triage support.
- Policy servicing: Endorsement intake and validation, audit document processing, renewal package assembly and checks with auditable trails.
How to get started
- Identify one workflow with high volume and measurable outcomes (e.g., submission triage or legal demand detection).
- Launch a contained pilot with production data, define success metrics, and build the governance playbook alongside it.
- Integrate with your policy, claims, and document systems, then expand to adjacent use cases once KPIs are met.
See it at ITC Vegas 2025
Live demos and one-on-one sessions are available at Booth #1553. For solution details, visit Expert.ai.
Upskill your team
If you're building internal AI capability alongside vendor solutions, explore role-based AI training options here: AI courses by job.
About Expert.ai
Expert.ai provides enterprise AI solutions for business value creation across Europe and North America and is listed on Euronext Growth Milan (EXAI:IM). Through EidenAI Suite, the company offers ready-to-use solutions for vertical markets with a Hybrid AI approach focused on responsible, transparent, and sustainable adoption.
Expert.ai has completed hundreds of implementations and serves organizations including AXA XL, Zurich Insurance Group, Generali, Sanofi, The Associated Press, Bloomberg INDG, and Dow Jones.
Your membership also unlocks:
