The Insurance Distribution Model of the Future
Zywave’s Eric Rentsch shares how AI is amplifying the role of insurance producers while reshaping brokerage operations, driving greater efficiency and organic growth.
Two conversations are dominating the industry right now: one about AI’s impact on the human roles at the center of client relationships, and another about where it can deliver the most value inside brokerage operations. I take a closer look at both and provide an update on how Zywave is helping customers drive more growth for their business.
Will AI replace the human producer (or other client-facing professionals)?
Let’s start with a clear picture of the role of an insurance producer and the client account management team. As anyone new to the industry quickly learns, insurance products are infrequently purchased and poorly understood. Insurance requires buyers to run headfirst into high-consequence decision anxiety, loss aversion, or a multitude of other unattractive purchasing dynamics. There are a variety of psychology principles that explain the resulting avoidance, but the practical result is that insurance must be proactively sold — it is infrequently bought. The purchase is more commonly avoided, ignored, or made only out of reluctance and/or compulsion.
The best professionals have spent careers building expertise and judgement that provide meaningful value to the reluctant buyer, and AI is a significant opportunity to amplify this judgment, not replace it. AI creates a powerful advantage for those who have honed the craft of guiding the reluctant buyer by reading the difference between a client’s stated needs and their actual risk. This discernment is what I like to describe as “uncovering hidden context.”
The durable work of a trusted advisor is discerning this actual risk, and then efficiently pairing this with the best coverage insurance carriers and capital markets can make available, via appointed or delegated authority, all while absorbing the customer or client’s decision anxiety (and incurring the associated liability that is an extension thereof).
Further, the insurance carrier/product manufacturer relies on this channel partner not only for client acquisition but, ever more importantly, the effective screening and pre-underwriting of risk – discerning the hidden context! Leading carriers approach their compensation design and channel optimization with recognition that the distribution is a critical driver of their loss ratio. The proliferation of digital channels that can be unlocked with AI will increase the scarcity (and therefore value) of trusted distribution.
AI will not remove either of these needs. It will, however, rewrite the internal operations of how the highest-performing brokers operate. The question is how should it be leveraged, and which market players will lead this change, to build the strongest competitive advantage?
Where are the most urgent and critical areas to apply AI to brokerage operations?
Given the durable criticality of the role of production for this industry, and its increasing importance in an AI-era, the challenge of the low supply of current talent in the market becomes even more apparent. More than 400,000 roles will open across the industry over the next 15 years, with too few people entering to fill them. Alongside this, we have a growing list of escalating risks facing the world – property and climate risks, emerging technologies, social inflation, drug and medical innovations. This will drive demand for coverage higher. What’s scarce isn’t only headcount, but the learned experience necessary to deliver excellence to clients in the market – the honed craft of “uncovering hidden context”.
Every hour an experienced producer or advisor spends on data entry, re-quoting, and chasing documents is an hour of the one resource we can’t manufacture, spent on the one thing we should never waste it on. Given this scarcity of judgement, the new growth model has one job: protect the time spent with clients to “uncover hidden context” and multiply it. With this, advisors can bring the coverage that the escalating risk landscape demands, and durable organic growth will result.
At the same time, we can very clearly see that AI is a powerful deflationary force that will unlock new, transformative innovation. For many years, brokerages have invested heavily in their back office, and the back office got cleaner. While a balanced general ledger is a critical backbone, it doesn’t win a client, place a policy, or grow the book. This once-in-a-generation technology transformation creates the opportunity to rethink investment prioritization to better support the growth of the firm. The market is already seeing incredible new capabilities be released, opening new opportunities to drive their businesses forward and I expect this innovation will only increase further from here – certainly, Zywave is actively working to accelerate the diffusion of AI across the insurance industry. I regularly hear from CIOs and CTOs overwhelmed with use-cases, and the challenge of identifying areas that pair the highest potential with highest confidence in results. The leaders with the greatest success thus far are balancing the fact that while efficiency use-cases have an ROI ceiling, growth use-cases do not.
Zywave Apex AI: Your 24/7 workforce dramatically increasing capacity to unlock organic growth in your brokerage
To help address these and other issues, Zywave recently introduced Zywave Apex AI. This platform is built from inside the industry, by people who’ve written a policy, navigated a renewal conversation, and grasped that insurance isn’t a transaction but a relationship. This solution delivers trusted content and data directly into critical prospecting, quoting, and advisory service workflows, giving teams a 24/7 workforce that reclaims your team’s capacity.
Apex helps producers prospect smarter using proprietary employer and household data, manage renewals proactively by flagging coverage gaps and risk months ahead, and lets teams query carrier guidelines, loss data, and policy details directly inside tools like ChatGPT Teams, Microsoft Copilot, or Claude Enterprise. Workflow can be further automated with two purpose-built agents: Producer Agent handles prospecting and outreach while Advisor Agent monitors the book of business and flags renewal risks 90 days out – and more agents are being built now.
Sterling Benefits, an employee benefits brokerage and Zywave customer since 2023, saw its producers spending hours cold-emailing prospects with paid third-party contact data for little return. After joining the Producer Agent early adopter program to automate outreach, the firm reclaimed 10+ hours per producer weekly for warm leads and client relationships, cut third-party contact lists or manual cold emails entirely, and dropped a costly cold-calling service.
Generic AI is not (alone) the answer
A general-purpose AI model will happily answer any question you ask about a regulation change, a policy, a coverage, an endorsement. The issue is that it answers with the same confidence whether it’s right, or not, because it was trained to sound fluent, not trained to be correct. In most industries, a confidently wrong answer is a process tax or an annoyance. In ours, it’s an unpaid claim for the policyholder, an E&O claim, or active litigation… or all three! Insurance is regulated, relationship-driven, and unforgiving of the gap between fluent and accurate. A tool that can’t tell the difference is a liability wearing a friendly interface.
This is the real reason adoption remains pilot-focused, despite the self-evident ROI and demand. It was never that the models weren’t smart enough, but that they needed something trustworthy to stand on.
The value of AI lives in what that intelligence is connected to and grounded in. With Apex, you unlock decades of insurance industry experience, a deep network of trusted carrier connections, one of the largest data sets in the business, all connected to and powered by the systems of record you already use.
The carriers and brokers building around AI now will be the ones setting the standard for the next decade, and the advantage will go to those who can build durable competitive advantages through sustainable organic growth.
Eric Rentsch is chief product officer and head of emerging markets at Zywave. Since joining Zywave in 2018, Eric has played a pivotal role in leading the transformation of the insurance industry and in shaping the company’s visionary product roadmap. Under his leadership, Zywave has built an integrated, open API software suite and customer network to enable growth for the greater insurance distribution industry, from carrier to broker to employer. Before joining Zywave, Rentsch founded his own insurtech, Code SixFour, which was later acquired by Zywave.