The Shift Already Underway
BCG reports that more than 90% of consumers now use generative AI tools weekly, and roughly 20% of purchasing decisions are already influenced by AI, according to a YouGov survey. Insurers face a structural shift: the first step in buying insurance is moving from a phone call or web search to a conversation with an AI assistant. BCG frames this progression as three waves, shown in its adoption model. In the Augmented wave, AI works in the background while human agents stay fully in control, recommending next-best actions and flagging at-risk customers. In the Assisted wave, virtual agents handle simple requests like renewals and address changes while humans focus on complex cases. In the Autonomous wave, customers delegate directly to their own AI assistants, and a new era of AI-to-AI distribution emerges where insurers compete for algorithmic trust and visibility, not just customer attention.
Why This Matters Beyond Insurance Distribution
The pattern BCG describes for insurance sales extends directly to collections and lending servicing. If a growing share of customers route routine financial interactions through a personal AI assistant, that assistant becomes the first point of contact for a payment inquiry or account question, whether or not the lender’s own systems are built to be recognized and trusted by it. BCG’s data shows roughly 80% of policies are still sold and serviced through traditional channels, with AI expected to expand digital reach rather than replace the channel mix entirely. That reinforces a “both, not either” reality: collections operations need both a strong traditional service layer and visibility to the AI systems increasingly mediating how customers first engage.
The Detail Most Operations Teams Are Missing
BCG’s own experience shows insurers mastering “answer engine optimization,” making a brand and its content genuinely readable and trustworthy to AI systems, are seeing a 15% to 25% lift in conversion rates. That’s a concrete, measurable number tied to something most CX and collections leaders aren’t yet tracking at all: whether their own service content and digital presence are structured in a way an AI agent can actually parse and trust when a customer routes a query through one. BCG’s roadmap moves from ensuring visibility to capture AI-driven traffic, to building agent capabilities across customer journeys, to eventually capturing AI-to-AI interactions directly, a sequence that applies just as directly to how a collections operation should think about its own digital and AI readiness.
What This Means for Collections and Lending Operations
BCG’s three-step model for equipping distribution organizations, build AI capabilities that handle queries end-to-end with empathy, refine those capabilities centrally within customer service, then scale a tailored assistant enriched with account-specific context across the organization, maps closely onto how a collections team should sequence its own AI rollout. The point BCG makes repeatedly is that human access remains the insurer’s unique advantage: virtual assistants free agents from routine tasks so they can focus on complex, high-empathy interactions, exactly the settlement and hardship conversations collections teams cannot afford to automate away. The operations that get ahead here won’t be the ones racing to remove people from the process. They’ll be the ones building the AI layer that customers and their own AI assistants can actually trust, while keeping human judgment centered on the moments that require it most.