When to Build vs. Buy: Insights from Our CEO on the Future of AI in Insurance

When to Build vs. Buy: Insights from Our CEO on the Future of AI in Insurance

We’re proud to share that our CEO, Josh Butler, was featured on the PLUS Podcast for a deep-dive episode titled “Build vs. Buy, ROI, and the Future of AI in Insurance.”

Why This Conversation Matters

Across the insurance industry, organizations are racing to integrate AI into underwriting, claims, and risk management. But many initiatives fall short. Not because the technology isn’t ready, but because the approach isn’t aligned to real business outcomes.

In this discussion with host Garrett Koehn of CRC Group, Josh explores the critical question every insurer faces: Do you build AI tools in-house, or do you buy proven solutions? And more importantly, how do you measure the return on those investments?

Build vs. Buy: Choosing the Right Path

Josh explains that the decision to build or buy AI is less about ownership and more about impact.

“Building from scratch can give you control, but it often takes years and millions of dollars before you see results. Buying the right platform can accelerate innovation — as long as it integrates seamlessly and delivers measurable outcomes.”

At CompScience, our focus has always been on solving real-world problems with computer vision and predictive analytics — helping clients see risk before it becomes loss. That clarity helps brokers and policyholders alike make data-driven decisions that reduce claims and improve outcomes.

The Real ROI of AI

ROI isn’t just about cost savings. It’s about creating safer, more productive workplaces and aligning incentives across the value chain.

“AI delivers the greatest ROI when it prevents loss — when it changes behavior before an incident happens,” Josh shared. “The win isn’t just fewer claims; it’s better engagement, safer employees, and stronger partnerships between insurers, brokers, and policyholders.”

That belief is core to CompScience’s model, combining workers’ compensation insurance with AI-powered safety analytics to create a true active risk management ecosystem.

Augmentation Over Replacement

Josh also emphasized that AI in insurance should augment human judgment, not replace it.
Whether it’s empowering underwriters to make smarter decisions or giving safety professionals insights they couldn’t see before, AI’s role is to enhance expertise — not automate it away.

“The future of AI in insurance is human-centered. The most powerful systems don’t replace people. They empower them to prevent harm, improve performance, and focus on what really matters.”

Looking Ahead

The conversation serves as a reminder that technology and trust go hand in hand. As the insurance industry embraces AI, success will depend on building solutions that are transparent, explainable, and aligned with human goals.

At CompScience, that’s exactly the path we’re on — helping insurers, brokers, and employers harness the power of AI to create safer workplaces and more sustainable results.

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