Reference Architecture to Build Enterprise-Grade Autonomous GenAI Agents

Overview:

Insurance operations involve a complex web of decisions, validations, and repetitive workflows—many of which are ripe for intelligent automation. Traditional RPA (Robotic Process Automation) lacks contextual understanding, adaptability, and self-service capabilities.

AgenTree provides a blueprint to build domain-specific, autonomous GenAI agents that can handle intelligent decision-making, automate workflows, and learn from interactions. These agents combine LLMs with enterprise logic, enabling insurers to build intelligent digital coworkers that reduce operational burden and improve speed.

| Insurance Use Cases for AgenTree

1. Autonomous Claims Agents

Claims processing often requires checking eligibility, verifying documents, extracting structured data, and making decisions based on policy rules.

With AgenTree, insurers can:

• Deploy an agent that orchestrates claim validation, fraud detection, and decision support
• Route exceptions for human review while automating the majority of routine claims
• Integrate with policy systems, provider databases, and document stores

Impact: Reduces average claim handling time, ensures policy-rule enforcement, and improves accuracy in high-volume claims.

2. Underwriting Assistants

Underwriters often juggle risk data, documentation, pricing tools, and manual rules evaluation.

Using AgenTree:

• Build underwriting co-pilot agents that collect applicant data, flag risk factors, and suggest next actions
• Query policy rules, retrieve external data sources (e.g., credit score, health profile), and generate preliminary decisions
• Allow agents to summarize application packages for faster human review

Benefit: Improves underwriter productivity, ensures consistent risk evaluation, and reduces time-to-decision.

3. Policy Renewal & Outreach Agents

Policy lapses, upselling opportunities, or renewal notices often go unnoticed or are sent generically, impacting revenue.

AgenTree enables:

• Smart agents that monitor policy status, usage patterns, and customer profiles
• Trigger personalized outreach via email, SMS, or chatbot (e.g., “Your health plan is expiring in 15 days—would you like to explore new benefits?”)
• Schedule follow-ups and handle basic queries autonomously

Result: Higher renewal rates, better cross-sell conversions, and increased customer retention.

4. Customer Support & Query Resolution

Handling FAQs, claim status inquiries, or document submissions can overload human agents and create friction in customer experience.

With AgenTree:

• Build scalable, GenAI-powered assistants that answer policyholder queries contextually
• Escalate to humans only when needed
• Integrate across channels (web, mobile, WhatsApp, email)

Impact: Supports 24/7 service, reduces contact center load, and improves customer satisfaction with faster, intelligent responses.

Business Impact for Insurers

With AgenTree, insurers can create autonomous GenAI agents that are context-aware, compliant, and task-specific—delivering measurable ROI across claims, underwriting, customer service, and policy administration.