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Change managementTechnology enablementAligning technology with workforce needs for maximum impact
The banking industry, like many sectors, is in a decisive period of change. Regional banks face shifting customer expectations, consolidation, regulatory scrutiny, margin compression, and new competition from fintech companies. AI in banking adds another layer of pressure. Its speed, uncertainty, and potential impact on the industry and broader economy are creating a new set of challenges for bank leaders.
The race to advance digital transformation in banking
As technology in the banking industry continues to accelerate, many regional banks are racing to position themselves as technology-enabled platforms, investing heavily in digital banking experiences, core modernization, and AI. More than 75% of financial institution executives identified advanced technologies, digital transformation, and AI capabilities as their top priorities for 2026, according to the 2026 Digital Banking Report. Those investments matter.
But technology alone will not set banks up for long-term success. Eagle Hill Consulting’s 2026 survey of senior business leaders shows why: fewer than half (49%) of leaders surveyed say new technologies introduced in the past year delivered their intended results. And when adoption falls short, 45% say the expected benefits were delayed or never realized.
In the age of AI, sustainable advantage will not come from pursuing the most aggressive AI agenda or the fastest digital transformation. It will come from strengthening operational capability and building organizational agility to modernize with discipline. Yet many organizations are still underinvesting in the work surrounding new banking technology initiatives. According to Eagle Hill’s study, only 35% of senior business leaders surveyed say their organization considers the impacts on day-to-day work before technology rollouts.
Realizing the value of technology in the banking industry starts with strengthening operational capability
So how do banks strengthen operational capability and build organizational agility? It means creating adaptable transformation processes, improving workflows, and preparing the workforce to innovate without compromising governance, risk management, or customer trust. Think of it as building a solid foundation, which can be turbocharged with AI and other new technology.
During this period of transformation, leading regional banks will do these things right:
1. Treat change as an enterprise capability
Leading banks are establishing centralized transformation governance, coordinating change across the portfolio, and building adoption planning into execution from the start. They know transformation success is not just about delivering projects. It is about building the capacity to absorb change repeatedly—and at scale.
Even as digital banking becomes increasingly prevalent, branches remain critical to building and maintaining the customer relationship. Effective change management strategies that bring in branch-level employees are key to unlocking the true potential of a regional bank’s transformation efforts and should be built into adoption planning.
2. Modernize operations before scaling technology
Whether considering new technology or modernizing existing, banking leaders start by focusing on technology enablement—simplifying processes, modernizing workflows, improving data quality, and reducing operational friction—before laying on AI and automation. These leaders focus on “moments that matter” when prioritizing customer-facing efforts—such as new customer onboarding, first mortgage, or business expansion loans—to ensure their priorities align with customer needs.
They do not use technology to compensate for broken processes. They build the operational foundation needed for technology investments to create measurable business value.
3. Establish responsible AI and workforce readiness
AI is both a technology transformation and a workforce transformation, and banks that understand this position themselves for long-term success.
While customers demand seamless digital banking experiences, relationships and branch experience can be a differentiator. Providing branch staff with AI driven tools that allow them access to customer information and solutions at their fingertips—and effective training and engagement to successfully use them—is one element of that differentiation.
67%
of employees aren’t using AI at work—but more than half of those non-users want to learn.
They establish governance frameworks that prioritize high-value use cases and manage risk. At the same time, they build the AI skills, behaviors, and decision-making capabilities employees need to use AI responsibly and effectively.
The bottom line
Digital transformation in banking is no longer optional. AI, automation, and platform strategies should accelerate good decisions, not increase the speed of poorly governed ones.
That discipline requires enabling the business by aligning technology, operations, risk, and workforce readiness. Without operational alignment, AI governance, and workforce readiness, institutions risk scaling inefficiency instead of performance.
The organizations that succeed will not simply transform faster. They will transform smarter, with the operational strength and governance maturity required to sustain performance through continuous disruption.
