This blog post is part of a series covering the five pillars of the Intelligent Insurer Operating Model. To read the first post, see: Beyond the Horizon: The Dawn of the Intelligent Insurer.
When I talk about Pillar One of the Intelligent Insurer Operating Model on using agentic AI with insurance executives, the first reaction is rarely skepticism about the technology. The reaction is usually more personal than that: “What does this mean for my people?” It is the right question. I will address it directly. But first, the premise:
For decades, growth in insurance meant growth in headcount. More claims volume meant more claims adjusters. More agents meant more service staff. The relationship was linear, predictable, and baked into every budget and capacity model in the industry.
Agentic AI breaks that relationship. And once it breaks, it does not come back.
The Digital Workforce
Digital employees do not require benefits, office space, or onboarding cycles. They can be deployed in parallel, running multiple complex workflows simultaneously, around the clock. They do not have bad Mondays. They do not call in sick. And critically, they scale instantly based on demand.
Jointly AI Broker demonstrated this in February of this year: five specialized AI agents working in concert to handle intake, research, carrier negotiation, risk scoring, and final recommendation—completing in under an hour what a human team handles over days. The economic model of an insurance organization changes when digital employees become a planning category alongside biological ones. Capacity constraints that once drove headcount decisions become architectural decisions about how digital agents are deployed and supervised.
Strategic Reallocation, Not Replacement
Here is my direct answer to that first question executives ask: This is not a framework for eliminating your workforce. It is a framework for elevating it. As digital employees absorb volume, repetition, data processing, research, and routing, biological employees move up the value chain into work that genuinely requires human judgment—complex reasoning, client relationships, creative problem-solving, and the decisions that regulators and customers will not accept from a machine.
That reallocation is not automatic or straightforward, and this is why change management becomes essential to Pillar One. Intentional job redesign, investment in upskilling, and leadership that communicates the purpose of the transformation clearly and honestly—these are not soft considerations running alongside the strategy. They are part of the strategy. Organizations that get this right find their people leaning in. Organizations that handle it poorly find their people pulling back at exactly the moment they need them most.
Where to Start
My recommendation: Begin with the workforce planning conversation. The next time capacity, growth, or hiring comes up in a budget discussion, introduce the biological/digital framework. Ask how the capacity need can be met through a combination of human and digital workers. That single question will surface assumptions worth challenging—and signal to your team that the conversation has changed.
Next: Pillar Two: Escaping the Pioneer’s Paradox Through Intentional Design, which explores why enthusiasm without discipline is a trap and how to avoid the Pioneer’s Paradox
