Junixy Agentic AI Service for Insurance

Agentic AI is the Present and Future of Insurance

Agentic AI represents a fundamental shift in how technology serves the insurance industry. Unlike traditional systems that simply process data and provide insights, agentic AI systems actively perform tasks, make decisions, and execute complex workflows with minimal human intervention.

At V2D, we've developed our Junixy Agentic AI service specifically for insurance organizations. We develop using Python, LangChain, LangGraph, and n8n, so our service enables insurers to deploy customized AI agents that deliver immediate operational benefits while building toward a more autonomous future.

Tailored Solutions for Every Insurance Organization

For Insurers

Transform core operations with agents that streamline underwriting, enhance claims processing, improve customer service, and strengthen compliance monitoring—all while maintaining your existing systems and processes.

For Brokers

Deploy agents that streamline client acquisition, policy comparison, claims advocacy, and market analysis, enabling your team to focus on relationship-building and complex advisory work.

For MGAs

Create agile operations that can adapt quickly to market changes, with agents handling routine underwriting, policy administration, and reporting while your specialists focus on unique risks.

For ILS Providers

Implement sophisticated risk analysis, portfolio management, and catastrophe modeling agents that enhance your ability to evaluate and price complex instruments.

Control Your AI, Protect Your Data

For insurers, maintaining control over sensitive data isn't just a compliance requirement—it's essential for building and maintaining customer trust. With Junixy Agentic AI services you have flexible deployment options designed specifically for the security needs of insurance organizations:

• On-premises deployment: Run your AI agents entirely within your existing infrastructure
• Private cloud deployment: Utilize your preferred cloud provider with complete control
• Managed cloud service: Let us handle the technical aspects while maintaining your data sovereignty

Our approach ensures that your proprietary data, customer information, and internal processes never leave your secure environment unless explicitly authorized. Unlike generic AI solutions and SaaS, with Junixy Agentic AI we build with insurance compliance requirements at the core.

Using the Right LLM Foundation

The large language models (LLMs) powering your agents are critical to their capabilities. With Junixy Agentic AI we support both third party cloud-based API models and locally deployed options:

Example Remote API Models

• OpenAI (GPT-4o, GPT-o3)
• Anthropic (Claude)
• Meta (Llama 3)
• DeepSeek
• Google (Gemini)

Local Deployments

• Complete Ollama integration
• Optimized insurance inference
• Fine-tuning capabilities
• 100s of models to choose from

Our insurance technology expertise allows us to guide you in selecting and optimizing the right models for different functions, balancing performance, cost, and security requirements.

Model Context Protocol (MCP) for Seamless Integration

Model Context Protocol (MCP) is an open standard that simplifies how AI applications access and use external data sources and tools. It acts as a standardized way for AI models to connect with APIs, databases, and files, allowing AI agents to perform more complex tasks. Think of it as a "USB-C port for AI applications."

Our use of MCP enables your AI agents to easily connect with:

• Policy administration systems
• Claims management platforms
• Underwriting tools
• Customer relationship management systems
• Regulatory reporting interfaces
• External data providers

Insurance Agents and Their Applications

The Junixy Agentic AI services use multiple agent architectures, each designed to address specific insurance industry challenges:

Hierarchical Agents

These agents operate in a structured, multi-level system where specialized agents handle specific tasks under the coordination of manager agents.

Insurance Example: A claims processing system where junior agents handle initial documentation review, specialized agents evaluate different aspects (medical, property damage, liability), and a manager agent coordinates the entire claim journey and makes final decisions.

Learning Agents

These agents improve over time by analyzing the outcomes of their actions and adjusting their behavior accordingly.

Insurance Example: An underwriting assistant that learns from underwriter corrections and feedback, continuously improving its ability to accurately assess risks and recommend appropriate premiums for similar cases in the future.

Multi-agent Systems

These involve multiple agents working collaboratively to solve complex problems, often specializing in different areas.

Insurance Example: A policy management ecosystem where one agent handles customer inquiries, another manages policy amendments, a third processes payments, and others handle compliance checks—all working together to provide seamless service.

Goal-based Agents

These agents work toward specific objectives, adapting their actions based on what will best achieve those goals.

Insurance Example: A fraud detection system that works toward the goal of identifying potentially fraudulent claims, autonomously deciding which data points to investigate further based on emerging patterns.

Planning Pattern Agents

These agents create step-by-step plans to achieve objectives, adjusting those plans as new information emerges.

Insurance Example: A catastrophe response agent that develops and continually updates response plans based on incoming weather data, claim volumes, and resource availability.

Adaptive Agentic AI

These systems modify their behavior based on changing environments and requirements.

Insurance Example: A pricing engine that adapts to market conditions, competitor actions, and regulatory changes, automatically adjusting pricing strategies while staying within compliance boundaries.

Perception Agents

These agents process and interpret incoming data from various sources.

Insurance Example: A document processing system that "sees" and interprets incoming claims documentation, extracting relevant information regardless of format or structure.

Reactive Agents

These agents respond directly to the current state of their environment without maintaining complex internal models.

Insurance Example: A customer service chatbot that provides immediate responses to policyholder queries based on policy details and predefined protocols.

Reasoning Agents

These agents use logic and inference to derive conclusions from available data.

Insurance Example: A complex claims evaluation agent that applies policy terms, legal precedents, and specific claim circumstances to determine coverage and settlement recommendations.

Reflex Agents

These agents follow predefined rules to respond to specific triggers or conditions.

Insurance Example: An automated underwriting system that instantly approves standard policies meeting predefined criteria without human intervention.

Startup Advantage: Enterprise Capabilities Without Enterprise Costs

For insurtech startups and emerging MGAs, Junixy Agentic AI service offers a powerful alternative to expensive SaaS-based solutions and legacy systems. Our solution enables you to:

• Launch with sophisticated automation capabilities from day one
• Scale your technology in parallel with your business growth
• Focus resources on your unique value proposition rather than operational overhead
• Compete with established players through superior efficiency and customer experience

Build your technology foundation on flexible, future-proof architecture instead of investing in soon-to-be-obsolete traditional systems and avoid vendor lock in with SaaS-based alternatives.

Building Insurance Technology Together

True to V2D's collaborative approach, we don't just deploy technology and walk away. We work alongside your team to:

• Understand your specific operational challenges
• Develop custom agents for your unique needs
• Train your team to manage and evolve your AI capabilities
• Continuously improve based on real-world results

Our deep insurance industry expertise ensures that we speak your language and understand your regulatory and business constraints.