If one thing became clear in 2026, it is that significant investment in AI does not automatically translate into meaningful business value. For insurers, that gap is especially consequential. A technology decision can shape not just efficiency, but also how quickly a policyholder gets help after a loss, how consistently a claim is handled, and whether a customer trusts the carrier to act fairly when the stakes are high.
Insurers have learned that deploying AI is very different from integrating it in ways that reduce friction, support sound decisions, and strengthen policyholder relationships. That gap between AI adoption and AI maturity is becoming a defining competitive divide, and it is a major theme of TTEC’s 2027 CX Trends report, “Beyond AI: Building what comes next.”
The next phase of transformation is not about adding more disconnected tools. In 2027, leading insurers will move beyond AI experimentation and focus on orchestration: embedding intelligence into the flow of work across service, claims, underwriting, policy administration, fraud, and partner operations.
Insurance has momentum, but autonomy remains limited
New research from HFS Research shows why orchestration matters. Among the 30 insurance executives surveyed, AI was live across an average of 45% of the 13 operating functions studied. Customer service was further ahead, with 70% of insurers reporting live AI.
But of the financial industries surveyed, insurance was also the segment least likely to let AI decide. Across various functions, AI made the decision in 17% of live deployments, and in customer service that figure was just 14%.
This doesn’t mean insurers are lagging. It merely reflects the realities of an industry where decisions can affect coverage, pricing, settlements, regulatory exposure, and a customer’s financial recovery. For insurance companies, the opportunity isn’t to remove people from every decision, but to design AI-human operations that accelerate routine work, give employees better context, and preserve human judgment where consequences are difficult to reverse.
Automation stops answering and starts resolving
Answers are useful, but resolutions create value. For years, insurers have deployed AI that can answer policy questions, surface knowledge for associates, or direct customers to the right form. Those capabilities help, but they often leave the customer to complete the hard part: update a policy, submit documentation, check claim status, correct an error, or move a case forward across multiple systems.
As we move into 2027, next era of AI is about completing work, not merely producing an answer.
Autonomous agents can take a request, such as a policy update or a claim status check, and carry it from a customer’s intent all the way to resolution, coordinating the steps across systems along the way.
Insurance CX leaders should no longer be asking, “Can AI answer this?” Ask instead: “Can AI help resolve this end to end, with the right controls and a clear path to a person when judgment is required?”
That shift demands a connected operating model. AI can’t deliver a seamless claims or servicing experience when it sits on top of fragmented data, disconnected workflows, and unclear ownership. Insurers need an ecosystem where a claim moves seamlessly from the channel where it’s filed, through the data and workflows that process it, to the employees and partners who act on it — all working toward the same outcome.
When a full view of the journey replaces isolation, policyholders don’t have to repeat information already in the system, associates aren’t stuck toggling between tools to find it, and issues requiring a person’s judgment reaches the right expert with the full picture already attached.
Optimize for outcomes, not automation
The contact center industry has often treated automation rate as an indicator or progress. But automation has a value ceiling, especially in insurance. Automating a billing question or document-status update may reduce effort for everyone. Forcing a bereaved beneficiary, a policyholder with a complex coverage question, or a claimant facing a disputed decision through the same automated path may increase effort and erode trust.
The HFS findings reinforce the need for a deliberate boundary between automation and judgment. Across the full BFSI sample, a human remained in the decision in 78% of live AI deployments. The study also found that decisions that commit money or settle a claim tend to stay inside the firm. Insurance respondents were most willing to let a partner shape claims-fraud referral decisions, while underwriting, pricing, claims adjudication, and settlement remained tightly held.
CX leaders should therefore define an “optimal value horizon” for each journey: the point at which more automation stops improving the outcome. Measure beyond containment and handle time. Look at resolution, rework, complaints, claim-cycle progress, policyholder effort, employee confidence, and the quality of handoffs. Some interactions should be completed instantly through self-service, while others require empathy, explanation, negotiation, or accountable human judgment. Competitive advantage comes from knowing the difference and making the transition between the two feel effortless.
Build the right AI-human blend for 2027
The insurers that thrive in 2027 will not be those chasing 100% automation. They will be the ones that use AI to remove avoidable work, improve the quality and speed of routine decisions, and give people more capacity for the moments that demand expertise and empathy. They will connect service, claims, underwriting, fraud, and policy operations around the policyholder’s goal rather than optimizing each function in isolation.
The real promise of AI is better resolution with less effort and stronger control. For more on this and the other trends poised to reshape CX in the year ahead, download TTEC’s full CX Trends 2027 report, “Beyond AI: Building what comes next.”
