The Role of AI in Insurance Technology

Discover How AI is Redefining Insurance Technology

Overview:

Watch an exclusive interview with Cogitate CEO and Co-Founder, Arvind Kaushal, as he shares compelling insights into how AI agents and large language models are transforming insurance operations.

From streamlining submission intake to enhancing underwriting accuracy and policy servicing speed, AI is no longer a concept of the future—it’s happening now.

In this video, you’ll learn:
• How Cogitate is leveraging AI agents across the insurance lifecycle
• What makes the AI Submission Engine uniquely powerful
• Why Cogitate’s Agentic AI Layer, is changing the game
• The next 24 months of innovation on the DigitalEdge platform

Full transcript:

Interview with Arvind Kaushal, CEO of Cogitate – The Role of AI in Insurance Technology

Michael: Today, we’re speaking with Arvind Kaushal, CEO of Cogitate. Arvind, thank you so much for joining us.

Arvind: Thank you, Michael. It’s always a pleasure to talk to you, especially in these conversational formats. It’s even more exciting when we’re talking about AI and the opportunities ahead.

Michael: In February, Gartner published an article titled “Capitalize on the AI Agent Opportunity.” They predicted that by 2028, 33% of enterprise software applications will include agentic AI—up from less than 1% in 2024—and that at least 15% of day-to-day work decisions will be made autonomously through AI agents. What are your thoughts on that prediction, and how does it apply to insurance technology?

Arvind: I think Gartner’s prediction is directionally spot-on. At Cogitate, we believe AI agents will soon be widespread, playing a transformative role in the intelligent tasks that are common across the insurance lifecycle. These agents are particularly well-suited to repetitive and decision-based functions, from submissions and underwriting support to policy servicing and claims adjustments. In the near term, we expect to see significant impact in areas like submission automation, risk analysis, and quoting—helping respond quickly to agents and policyholders with contextual, summarized coverage options.

Michael: What has Cogitate’s approach to AI agent development been?

Arvind: Before beginning development, our priority was to listen to our customers. We wanted to understand the real-world problems they were facing. We partnered with several clients across financial, commercial, and personal lines and found one recurring theme—submission intake. It’s often error-prone due to varied and complex data sources. Creating contextual summaries and responding quickly with intelligent coverage options was a major need.

To address this, we started leveraging large language models (LLMs) and trained them with insurance-specific data. This gave us context-aware automation capabilities. We chose to start with financial lines because those submissions are particularly complex—often including applications, financial statements, loss runs, and email correspondence. By focusing here, we could validate the technology with real use cases. I’m happy to say we are now live with some of our customers.

Michael: That’s amazing. Can you expand on the AI submission engine and how a customer would adopt it?

Arvind: Sure. The AI-powered submission engine extracts data from a wide variety of submission formats—emails, PDFs, applications from different carriers, financial statements, loss runs, and more. The engine contextualizes this data and integrates seamlessly with our quoting process. What makes Cogitate’s solution unique is that there’s no need to “rip and replace.” These AI agents are embedded within our existing DigitalEdge workflows. That’s a huge advantage for customers—they can adopt the solution immediately, and the AI models continue to improve over time. Ultimately, these agents act as digital coworkers, augmenting underwriters, adjusters, and agents in meaningful ways.

Michael: That’s a big benefit—especially with ease of integration. For those new to the space, can you explain artificial intelligence and large language models and how they relate to Cogitate’s innovations?

Arvind: Absolutely. Artificial intelligence (AI) is a broad category—it’s about replicating aspects of human intelligence: learning, reasoning, and decision-making. Within AI, we have subsets like machine learning, deep learning, generative AI, and foundation models. Large language models (LLMs) fall under the foundation model category. LLMs are designed to understand, contextualize, and generate human language. In our case, they help process messy, unstructured information—like emails and PDFs—and convert that into structured data that systems can act on. When combined with AI, LLMs empower our platform to augment human decision-making, forming the backbone of what we call digital coworkers.

Michael: If Gartner asked how Cogitate will implement AI over the next few years, what would you say?

Arvind: The pace of change is faster than anything I’ve seen in my 25-year career. So rather than look four years ahead, I’ll focus on the next 18 to 24 months. We’re building what we call an “agentic layer”—a suite of hundreds of AI agents that sit atop our DigitalEdge ecosystem, which includes policy, billing, and claims solutions. Cogitate’s AI Response Agent Layer’s purpose is twofold: to enhance user experience across all personas—underwriters, agents, policyholders, adjusters—and to drive operational efficiency. These AI agents act as intelligent coworkers. Some are already live: FNOL agents, submission agents, underwriter assist agents, and demand assist agents. Right now, they operate independently, but the future is even more exciting.

We’re working toward a model where these agents collaborate, delivering a seamless and highly intelligent user experience. Imagine a personal auto customer calls in with a claim. The FNOL agent begins processing the information and intelligently calls on the adjuster agent to streamline the workflow. That level of inter-agent collaboration is where we’re headed—and it’s what truly excites us.

Michael: That’s genuinely exciting. Arvind, thank you so much for your time. We look forward to seeing more innovation from Cogitate in the months ahead.

Arvind: Thank you, Michael. These are exciting times—and the best part is, we’re just getting started.