Every financial institution will soon have access to the same AI. The same models, vendors, and capabilities are available to anyone willing to pay for them. Victoria Savio has spent her career helping financial institutions navigate transformation and growth. “The institutions that lead in the next decade won’t just use AI as a tool,” she says. “They’ll build cultures where AI is embedded into decision-making, operations, and customer experience.”
The real differentiator cannot be purchased; it’s the culture that determines whether the technology gets used well. For example, two institutions can deploy the same AI and get opposite results. This is only because one has the alignment, the skills, and the trust to actually absorb it, while the other has a powerful tool sitting idle.
Alignment at the Top Signals That AI Is Not Optional
An AI-first culture, like any culture shift, begins at the top, and Savio is clear that leadership sets the terms. Too many leadership teams still treat AI as an experimental initiative instead of a strategic priority. Alignment means deciding, specifically, where AI creates the most value, and that answer differs by institution. It might be fraud detection, risk management, personalized client experiences, or operational efficiency.
“When leadership is aligned, it sends a clear message across the organization that AI isn’t optional; it’s fundamental,” Savio says. This is the part of the culture that no purchased technology can supply. The tool arrives the same for everyone, but the decision to treat it as central to how the institution operates comes only from leadership.
The Transformation Is About People, Not the Tool
Savio argues that AI transformation is about talent and mindset, which competitors cannot replicate by matching a purchase order. Institutions have to equip employees with the skills to work alongside AI, understand data, and adapt to new workflows, building AI literacy across every function from compliance and operations to client service and executive leadership.
“When employees understand how AI enhances their work, rather than replaces it, adoption accelerates,” Savio says. An institution whose people understand AI and trust it as an enhancement absorbs the tool quickly, while one whose people fear it leaves the same capability unused. The advantage was never in the software; it was in the workforce ready to work with it.
Experimentation and Trust Are What Let Finance Move at All
The final element is the hardest to build in finance, where regulation and risk make experimentation fraught. Savio’s answer is to start small, with pilot programs, targeted use cases, and measurable outcomes, then scale what works. Running alongside experimentation is trust. Both clients and employees need to understand how AI is being used, how its decisions are made, and how their data is protected. “Trust is the foundation of any successful AI strategy in finance,” Savio says.
An institution that has cultivated transparency and earned the confidence of its people and clients can deploy AI where a distrustful one cannot, regardless of the tools each has bought. AI itself is becoming a commodity, available equally to everyone, which is exactly why it cannot be the advantage. What separates the institutions that will shape the industry from those that merely use its tools is the culture ready to lead with them; aligned at the top, fluent throughout, and grounded in trust.
The question, as Savio frames it, is not whether AI will transform finance, but whether an organization is ready to lead that transformation. To learn more about building AI leadership in financial services, connect with Victoria Savio on LinkedIn.
