In a regulated, complex industry like financial services, the gap between AI ambition and AI readiness is real. In a recent episode of the Electric Mindset podcast, Anunaya Ritwik, Managing Director, Data & Digital, discussed what genuine AI readiness looks like from the inside.
He framed AI readiness around three foundations that any financial institution must get right:
- Governance: Having the right controls, compliance structures and oversight in place. Regulations are evolving—Canada’s Bill C-27 and the European AI Act are both on the horizon—but responsible organizations aren’t waiting. “We’ve made common-sense decisions to keep our clients first, keep our data safe and be responsible and ethical in our usages,” he said.
- Foundation: Data quality and architecture are non-negotiable prerequisites. RBCIS’ years of investment in cloud-native platforms and data governance have positioned it further along the maturity arc. As emerging trends like stablecoin and tokenization accelerate compute demands, that groundwork becomes even more valuable.
- Culture: Readiness comes from small, repeated actions that build trust. An operations analyst won’t trust AI because leaders talk about it; they’ll trust it because they used it once, for five minutes, and it made their day a little better.
He also discussed how waiting for perfect data or perfect governance before adopting AI is itself a risk. The organizations that will lead are often the ones who start with the easy wins to build the confidence that makes larger transformation possible.
Watch or listen to the full episode of Electric Mindset to hear the conversation in full.
