In the latest episode of the Digital Banking Podcast, host Josh DeTar, EVP – Evangelism at Tyfone, welcomed Vit Shtyrkin, Chief Product Officer at B2BinPay. The episode centered around how fast-changing technology is reshaping digital banking, with a focus on the practical impacts of artificial intelligence and crypto tools on product development and team workflows.

Vit discussed how his team approached AI not as a shortcut, but as a tool for survival and growth. He shared real examples of how AI helped B2BinPay analyze competitors, speed up prototyping, and reduce routine work, while stressing the importance of human expertise to guide, validate, and shape technology’s output. Vit and Josh explored why simply having AI isn’t enough—teams need to combine smart tools with critical thinking and ongoing learning to stay ahead.

The conversation also touched on the rising pace of disruption, the need to balance speed with quality, and why no business—banking included—is safe from rapid change. Vit closed by highlighting the real human goals behind innovation: creating products that work for people, freeing up time, and making room for life beyond work.

⚡ AI Is a Survival Tool, Not Just an Efficiency Play

AI has shifted from a productivity booster to a necessity for staying in business. Companies that use AI only to cut costs miss the bigger picture: speed and adaptability now set the winners apart. As technology advances, the time it takes for competitors to catch up shrinks fast. What took a year to build with AI a year ago might take only a day now. The real advantage comes from reinvesting the time and resources saved by AI into launching more ideas, testing new features, and improving products at a pace that keeps you ahead. This mindset treats AI as a lever for survival, not just a way to trim budgets. Standing still or simply saving money is not enough—if your team isn’t moving forward with these new tools, someone else will, and they’ll take your place.

⚡ Human Oversight Makes AI Work in Financial Services

AI delivers the most value when paired with human judgment. In fields like digital banking and payments, trusting AI blindly can lead to big mistakes—especially when security, compliance, and money are on the line. The best results come from integrating AI throughout the workflow, but always keeping a knowledgeable person in the loop to check, question, and refine what the technology produces. This balance lets teams use AI for rapid analysis, prototyping, and routine tasks, while reserving human expertise for critical thinking, risk assessment, and final validation. It’s not enough to automate; the people using these tools need to know what to ask, how to interpret results, and when to step in. That’s how teams avoid costly errors and deliver reliable, user-friendly solutions.

⚡ Speed Beats Perfection in Product Innovation

The pace of change in financial technology favors teams that move quickly and improve as they go. Waiting to launch until a product is flawless can leave you behind, especially as competitors experiment, iterate, and respond to customer needs in real time. A good-enough solution that solves real problems now often wins over a perfect solution that shows up late. The tech landscape rewards those who can balance speed with learning—shipping updates often, gathering feedback, and making steady upgrades. This approach creates a culture where mistakes are part of progress, and flexibility is a competitive edge. In digital banking, the ability to adapt and deliver fast is now more important than aiming for perfection out of the gate.