3 Strategic Indicators That AI Is Becoming a Boardroom Priority for Financial Leaders

AI agents are moving higher on the financial services agenda as institutions consider their role beyond individual tasks and isolated automation.

Creatio’s 2025 AI Agent and No-Code Adoption Survey shows that 80% of financial services business and technology decision-makers say AI agents are already a board-level topic or expect them to become one in 2026. At the same time, 73% consider AI agents critical or important to achieving their near-term organizational goals.

Together, these findings point to a broader development: AI is becoming increasingly connected to how financial institutions plan, prioritize, and invest for the future.

Expert Insight

The significance of AI reaching the boardroom goes beyond executive attention. It reflects the expanding role institutions expect AI to play across processes, decisions, customer experiences, and business priorities. For financial leaders, the next phase will be defined by how effectively that ambition translates into enterprise execution while meeting the industry's requirements for governance, security, and trust.

#1. AI Is Expanding Beyond Tactical Automation

Financial institutions are beginning to consider AI agents across a broader range of processes and business activities.

Traditional automation has largely focused on predefined tasks and workflows. AI agents extend the opportunity into more complex work, where they can support employees, decisions, customer interactions, and processes that span multiple functions.

This expands the potential business impact. Efficiency remains important, but institutions are also exploring how AI can improve decision-making, strengthen customer experiences, and support new ways of working.

That broader scope raises the level of organizational coordination required. AI initiatives that cross functions and processes involve decisions about investment, governance, technology, data, and organizational change. These are increasingly enterprise concerns rather than decisions that sit within a single technology or business team.

AI success isn’t about racing to adopt new technology – it’s about leading with purpose. Institutions that clearly define why they’re pursuing AI will be the ones that turn experimentation into enterprise impact.

Anna Kooi

Partner, Financial Services Practice Leader, Wipfl  

The progression from individual automation use cases toward broader business applications is the first indication of AI's growing strategic relevance. As its scope expands, so does the need for executive involvement.

#2. AI Agents Are Reaching the Boardroom

That executive involvement is already becoming visible.

Eighty percent of business and technology decision-makers in financial services say AI agents are already a board-level discussion topic or expect them to become one in 2026:

• 36% say AI agents are already a board-level discussion topic.
• 44% expect them to become one in 2026.

Financial services is moving at a more measured pace than the global cross-industry benchmark, where 45% of respondents say AI agents are already a boardroom topic.

The difference matters in the context of financial services. AI initiatives must operate within the industry's requirements for regulation, security, compliance, and customer trust. Those considerations increase the importance of executive oversight as institutions expand adoption.

Financial institutions aren’t necessarily moving slowly, they’re moving deliberately. The conversations happening in the boardroom today reflect a recognition that AI isn’t just a technology play; it’s a strategic capability that must be implemented responsibly, with governance, security, and trust at its core."

Christopher Jackson

Industry Marketing and Strategy Lead, FinServ, Creatio

Board-level attention is significant because the decisions surrounding AI increasingly extend beyond technology selection. Investment priorities, governance, organizational readiness, customer impact, and acceptable levels of risk all require coordination across leadership.

Financial services may therefore follow a different adoption curve from industries with fewer constraints. A measured pace can reflect the work required to establish the conditions for AI to operate at enterprise scale.

#3. Financial Leaders Are Connecting AI Agents to Business Goals

Boardroom attention becomes more consequential when AI starts to influence business priorities. Among financial services leaders, 73% consider AI agents critical or important to achieving their near-term organizational goals:

• 29% describe AI agents as critical.
• 44% describe them as important.

The figure trails the global average of 86%, but still represents nearly three-quarters of financial services respondents.

Cross-industry comparisons provide additional context. Technology and manufacturing lead at 83%, while financial services stands at 73%. The data suggests strong strategic interest in financial services alongside a comparatively measured approach to adoption.

The more important implication is what institutions expect AI to contribute. Building or deploying an AI agent does not establish its strategic relevance. That comes from its connection to a defined business or customer outcome.

For one institution, that may mean improving a complex customer process. For another, AI may support better-informed decisions, more effective cross-functional work, or differentiated customer experiences. The use case should follow the outcome the institution wants to achieve.

This also raises questions about execution. Ambitious AI initiatives need technology and processes that can support the intended business outcome across functions rather than confining AI to isolated use cases.

For financial leaders, the connection between AI and organizational goals is therefore a stronger indicator of strategic maturity than adoption alone. It shows that the conversation is beginning to move from where AI can be deployed to what the institution expects it to accomplish.

Final Thoughts

Three developments show why AI agents are becoming a boardroom priority in financial services: their scope is expanding beyond tactical automation, executive attention is increasing, and leaders are connecting AI more directly to organizational goals.

Financial institutions are approaching that shift with the constraints of their industry firmly in view. The opportunity lies in turning board-level ambition into business impact while maintaining the governance, security, and trust required to operate at scale.