AI Product leaders are approaching CX transformation in the same way they do for other business areas, but to credibly achieve buy in, on a CX projects potential ROI, they must stop pitching AI migration as a way to cut costs or reduce headcount, and instead frame it as a critical engine for revenue growth and operational efficiency. As board priorities shift dramatically in 2026, business cases built solely on “savings” are falling flat with executives who are increasingly focused on protecting their installed base and increasing wallet share.
While the hidden cost of doing nothing on legacy systems has long been a challenge for contact centers, the strategy for securing the budget to modernize has fundamentally changed.
According to new industry data, the traditional approach of selling technology upgrades based on the number of staff a company can fire is no longer effective or accurate. Steve Blood, VP of Market Intelligence at Five9, explained the frustration with this outdated tactic.
“Pitching tech investment on the number of staff they can fire. I’m so bored of it, but it’s still going on. It’s still close the customer service center. I think what you find is that person that pitches that, they’re never the service leader. It’s an ambitious head of IT or a C-level exec looking for some air time.”
Instead of focusing on headcount reductions, successful CX leaders are aligning their AI migration strategies with the top concerns of CEOs and CROs: growing revenue from existing customers and improving overall employee productivity.
The Shift from Cost Center to Growth Engine
Historically, customer experience was rarely a top-five priority for the wider C-suite. However, recent surveys from PwC and Gartner indicate a significant shift in executive focus for 2026. With CEOs expressing less confidence about general market growth, the emphasis has pivoted toward maximizing the value of current customers.
Blood told CX Today. “C suite are thinking, maybe we need to try and grow the revenue in our existing customer base as a way of increasing the value rather than necessarily going out and looking for new customers.”
This shift means CX leaders can enter boardroom meetings and confidently discuss customer experience as a direct driver of revenue protection and growth. Technology plays a crucial role in this strategy by providing the live signals necessary to understand customer sentiment, detect churn risks, and identify opportunities for timely interventions or cross-selling.
By framing the contact center as an essential tool for customer retention, CX leaders can secure the investment needed to modernize their legacy systems and capture these vital insights.
True Operational Efficiency
While boards are looking for growth, they are also demanding measurable operational efficiency. However, this efficiency is no longer defined merely by reducing contact center staff.
The real efficiency story lies in using AI to backfill the growing talent gap and improve the productivity of the existing workforce. With 86 percent of service leaders reporting that AI helps fill the gap between business growth and a lack of available service reps, the narrative changes from “replacing humans” to “empowering humans.”
“We are starting to be more mature about it. We’re realizing it isn’t about firing staff. It is absolutely about getting AI to work hand in hand with people and then using people to drive and control and manage the AI more.”
By improving employee efficiency, organizations create operating leverage. Agents freed from routine, repetitive tasks can be trained on more complex, value-add skills, directly supporting the board’s revenue goals. A shift heavily supported by advancements in agentic AI and Five9’s Intelligence CX Platform, powered by Genius AI.
Proving The Value of AI Migration
To secure investment, CX leaders must tie AI initiatives directly to financial outcomes. Boards are moving past the hype and demanding to see exactly how automation impacts the cost to serve, improves retention, and drives profitability.
Successful organizations are avoiding massive, disruptive “big bang” IT projects. Instead, they are delivering value in targeted, measurable steps. They identify specific areas where AI can remove friction in the customer journey or assist service reps, and then measure the impact early through metrics like containment rates, resolution times, and customer satisfaction scores.
“So they’re small steps and they measure the impact early. They look at containment, they look at resolution time or customer sat. So they can see very quickly if the initiative is working and if it isn’t then they kill it.”
This agile, product-management approach to AI deployment – combined with a strong governance model to manage risk – builds the credibility and trust required to secure ongoing board support for modernization.
In a world where AI and personalization converge, CX leaders will redefine what it means to connect with customers and drive business growth. Are you ready to rewrite your pitch? Learn more about future CX trends and AI migration strategies here.
