I’m thrilled to sit down with Simon Glairy, a renowned expert in insurance and Insurtech, particularly in the realm of risk management and AI-driven risk assessment. With years of experience under his belt, Simon has been at the forefront of transforming how technology shapes the insurance industry. Today, we’re diving into the exciting launch of a groundbreaking AI tool designed for property and casualty agencies. Our conversation will explore how this technology streamlines operations, boosts efficiency, enhances customer interactions, and ultimately reshapes the day-to-day work of agents. Let’s get started!
How does the latest AI technology for property and casualty agencies transform their workflow, and what are the key benefits you’ve seen emerging from this innovation?
This new AI tool is a game-changer for P&C agencies. It automates a wide range of tedious, manual tasks that have historically bogged down agents, like data entry, quote generation, and even initial customer interactions. By handling these repetitive processes, it frees up agents to focus on building relationships and closing deals. The key benefits are speed and efficiency—agents can respond to clients faster, often with bindable quotes in under 10 minutes, and it significantly improves conversion rates. It’s about giving agents the ability to prioritize high-value work while the AI takes care of the grunt work.
What specific tasks does this AI tool take off agents’ plates, and how does that impact their daily routines?
The AI tackles a variety of mundane tasks, such as collecting customer data through conversational interfaces, retrieving quotes from carriers, and even managing inbound calls or chats. It also handles routine service requests, which often eat up a lot of time. For agents, this means less time spent on paperwork or navigating multiple carrier portals and more time engaging with clients or pursuing new business. Their daily routine shifts from being bogged down by administrative work to being more strategic and client-focused.
How does this technology achieve such impressive speed in generating quotes, and what parts of the process see the most improvement?
The speed comes from automating the most time-consuming steps in the quoting process, like data intake and carrier integration. The AI uses pre-established agency procedures to pull accurate, bindable quotes directly from carriers, eliminating the need for agents to manually input data or toggle between systems. The biggest improvement is in the upfront work—gathering client information and matching it with carrier options happens almost instantly, cutting what used to take 30 minutes down to under 10. It’s all about streamlining those initial, repetitive steps so agents can jump straight to the conversation with the client.
There’s a claim that this tool can give agents back around 40 percent of their time. Can you walk us through how that savings is achieved?
That 40 percent figure comes from analyzing how much time agents typically spend on manual, non-revenue-generating tasks. Things like answering routine calls, entering data for quotes, or following up on basic inquiries can add up to hours each day. By automating these processes, the AI essentially hands that time back to agents. Imagine reclaiming two full days a week—that’s time they can now spend on nurturing client relationships, chasing new leads, or upselling existing policies. It’s a massive shift in how they allocate their energy.
One interesting feature is the AI-powered quoting assistant. How does it integrate with an agency’s existing systems and ensure agents still maintain control?
The quoting assistant is designed to work seamlessly with an agency’s current processes and approved workflows. It doesn’t reinvent the wheel; instead, it plugs into the systems already in place, pulling data and generating quotes based on the agency’s specific guidelines. Agents remain in the driver’s seat—they review and finalize every quote before it’s bound, so there’s no risk of the AI overstepping. This balance ensures consistency and accuracy while drastically cutting down on the manual effort. It’s a tool that supports rather than replaces the agent’s expertise.
Can you explain how the AI receptionist feature enhances the customer experience, especially when connecting callers to the right person?
The AI receptionist is like having a tireless, always-on front desk. It answers calls and chats, figures out what the customer needs through natural conversation, and routes them to the appropriate person without letting them hit voicemail. This immediacy is huge—customers feel heard and attended to right away. If the customer’s intent isn’t clear, the AI can ask follow-up questions or escalate to a human if needed. The result is a smoother, more professional first interaction, which sets a positive tone for the entire customer journey.
How does the inbound lead qualification feature help agencies prioritize their efforts, and what kind of data does it rely on?
This feature is all about efficiency in sales. The AI captures details from potential customers through calls or chats, assesses their intent, and determines whether they’re a qualified lead worth passing on to a producer. It looks at things like the customer’s specific needs, urgency, and whether they match the agency’s target profile. By filtering out less promising leads, it ensures agents spend their time on opportunities with the highest likelihood of conversion. It’s like having a smart gatekeeper that helps focus efforts where they’ll pay off most.
For outbound sales and renewals, how does the AI identify opportunities like cross-selling or re-engaging past quotes?
The AI digs into historical data and current client profiles to spot patterns and opportunities. For instance, it might notice a client with an open quote from a few months ago who hasn’t followed up, or it could flag a policyholder whose coverage might benefit from an additional product based on their profile. It uses this data to prompt agents with actionable insights, automating reminders for renewals or suggesting cross-sell options at the right moment. This proactive approach helps agencies maximize revenue without requiring agents to manually comb through records.
What’s your forecast for the future of AI in the insurance industry, especially for property and casualty agencies?
I see AI becoming even more integral to the insurance space, particularly for P&C agencies. We’re just scratching the surface with tools like this—automation will continue to evolve, handling increasingly complex tasks like underwriting analysis or personalized risk assessment. I expect AI to drive deeper integrations across platforms, creating a more connected ecosystem where agencies, carriers, and customers interact seamlessly. The focus will shift even further toward enhancing customer experience and predictive analytics, helping agencies not just react to needs but anticipate them. It’s an exciting time, and I think we’ll see AI redefine what efficiency and innovation look like in this industry over the next five to ten years.
