Key trends and insights

Welcome to Liberate Inc.'s blog, where we explore the latest trends and strategies shaping the future of contact centers. Learn how AI-driven automation is transforming customer interactions and driving efficiency in the industry.

CAT Season ISN’T The Reason to Buy Voice AI
While AI can absolutely help carriers manage surge volumes during catastrophe (CAT) events, I believe that's the weakest reason to invest. The real value comes from improving the everyday insurance operation: answering calls 24/7, accelerating FNOL, helping policyholders when they need it most, and giving employees more time to focus on complex claims. When insurers build AI for the routine interactions that happen every day of the year, they generate measurable ROI long before the next storm arrives while creating the scalable foundation needed to perform when catastrophe strikes.

They Said Independent Agencies Were Dead. They Were Wrong. Now AI Changes the Math
Independent agencies have survived every major industry disruption by adapting, and AI may represent their biggest opportunity yet. This article explains how automating routine servicing work can increase revenue per employee, expand EBITDA and create significant enterprise value without adding headcount. For agency owners, AI isn't just another technology investment. It's a new operating model for profitable growth.
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Catching It First: Evaluating Insurance AI Agents at Scale
Liberate built domain-specific, automatic evaluation infrastructure that scores every agent conversation, clusters and ranks failures by severity, and traces each one to the responsible agent, prompt, or tool, catching the insurance-specific failures that generic quality scores miss, and often correcting them before the caller ever notices.
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The Real AI Challenge Isn’t Innovation; It’s Responsibility
AI adoption is accelerating despite growing concerns about bias, privacy, security and accountability. Efforts to slow AI development have largely failed, shifting the conversation toward responsible AI. While definitions vary, most frameworks share a common goal: ensuring AI systems are fair, transparent, secure and subject to human oversight.
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Treat Your New AI Agent Like A New Hire, Not A Magic Wand
Many enterprise AI pilots fail not because the technology falls short, but because organizations fail to onboard AI agents the way they would a new employee. This article explores six practical steps for maximizing AI performance, from defining clear responsibilities and integrating core systems to continuous coaching and performance measurement. Find out why successful AI deployments depend as much on implementation and partnership as the technology itself.
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Simulating Insurance Calls to Test Voice AI Agents at Scale
Agent Arena is a testing system that runs hundreds of synthetic insurance calls against Liberate's voice AI in parallel, complete with the misheard policy numbers, interruptions, and noisy transcripts of a real call. It turns a full day of manual QA into minutes, catching regressions before any policyholder ever hears them.
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Podcast Recap with Marcus Ryu, Battery Ventures
Marucs Ryu, Co-Founder of Guidewire Software and General Partner at Battery Ventures, and Amrish Singh, Co-Founder and CEO of Liberate, sat down to discuss the state of insurance AI. Their comments provide insight into the current state of AI in insurance and what we can expect next. They also discussed common AI risks and concerns.
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Insurance Voice AI: 5% Conversation, 95% Orchestration
Voice AI has become impressively humanlike. That is the part everyone notices first. But for insurers, the voice is only the tip of the iceberg. The real value lies below the surface: insurance knowledge, workflow orchestration, system integrations, compliance controls, and the ability to complete work from start to finish.
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Podcast Recap with Bryan Falchuk, PLRB
Property and casualty insurers face unprecedented challenges. Evolving risks and rising costs are putting pressure on profits. At the same time, the rapid development of AI is creating both risks and opportunities. Bryan Falchuk, president and CEO of the Property and Liability Resource Bureau (PLRB), recently joined me to discuss the current P&C landscape.
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The Graduates Booing AI Speakers Are Right
As a CEO building AI in a highly regulated industry, I understand why graduates are skeptical of the promises surrounding AI. Their concerns about jobs, accountability and the long-term effects of automation are legitimate. But AI also has the potential to remove repetitive work and give people more time for judgment, creativity and human connection. The challenge is building it responsibly.
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