# I Asked Myself an Honest Question About AI. Here's What I Found.
_Published: 2026-05-26T00:00:00.000-04:00_

nCino CEO Sean Desmond on why most banking AI strategies create motion, not momentum, and what he built to prove the difference.

_Written by Sean Desmond, President and CEO, nCino_

I have speculation fatigue. I suspect you do too.

The conferences, the keynotes, the LinkedIn posts — all of it pointing in the same direction. AI is going to change everything. We know. At this point, I can't go anywhere without the topic coming up, work or otherwise. Speculation is not the problem. The gap between speculating and _doing _is the problem.

So earlier this year, I asked myself a blunt question: Sean, what are YOU doing to modernize the way you run nCino?

I'll acknowledge the obvious: I run a software company. It's fair to assume this stuff comes easier to me and my team. But I asked myself this question the same way I'd ask it of any banking CEO — not as a technology exercise, but as a leadership one.

Not what I expected of my teams. Not what mandate I'd put in motion across the organization, though I'd done some of that too. What was I, personally, actually doing?

I asked myself this while preparing for a board meeting. March 16, to be specific. That question became more specific: what agents are serving me and my executive team right now to automate board prep, and more broadly, to run our business better?

That question became the brief. And the brief became something I didn't expect.

### **What I built — and what it isn't**

Let me be direct about what happened, because I think the framing matters.

This is not a story about vibe coding. If you're not familiar with the term, vibe coding is what happens when you give AI a loose prompt and accept whatever comes out — '_Build me an app that does X_' — with minimal critical engagement. The human's role is prompter and acceptor. The judgment is largely delegated. That's not what I'm describing, and I'd be doing a disservice to every banking leader in our customer base if I let them walk away thinking that's the model.

What I actually did: I came in with fully formed strategic context. The product and platform vision documents. Our agentic strategy. The competitive landscape. Our stated company objectives. I didn't ask AI to think for me. I asked it to help me visualize and structure what I already knew. When it made a suggestion I disagreed with — at one point it suggested I delegate a function to a Chief of Staff — I course corrected immediately, because I know my business and I'm calling the shots.

The best analogy I've found is this: imagine an exceptionally well-briefed thinking partner who can also write fast. You set the strategic agenda. You make every substantive judgment call. You own the context. The AI compresses the execution cycles, holds strategic logic consistent across multiple documents simultaneously, and surfaces connections you might not have explicitly asked for.

In my case, that meant work that would have taken a team of people several days — board slide, speaker notes, agent stack design, technical build brief — completed end to end in ninety minutes. The judgment lived with me. The velocity came from AI.

I'm not describing this to show off a productivity hack. I'm describing it because the CEO agent stack that came out of that session is now live — for my entire executive leadership team, as of April 16. Thirty days from brief to production.

What made it possible wasn’t the AI model. Any of us can access the same models. What made it possible was having that model run on the same intelligence layer we’ve built into the nCino Platform — the Agentic Operating System (AOS) that governs, coordinates, and learns from every interaction across the institution. That’s the difference between a productivity tool and an operating model.

### **What it actually does**

Every morning, before I've finished my coffee, I have a CEO agent stack delivering me competitive intelligence, trending industry news, and a holistic view into key internal operations — all synthesized, all waiting for me. It surfaces the three things I need to act on that day, not the thirty things that happened overnight. The filtering is the value.

That's not a demo. That's my Wednesday.

It has fundamentally changed how I lead. What I pay attention to. What I ask my team to focus on. The distance between 'possible' and 'operational' has collapsed, and once you've experienced that, the urgency becomes personal in a way that no keynote can manufacture.

### **The question I want banking leaders to sit with**

The banks that are winning this moment aren't just deploying technology. They're leading from the front. Every day, their CEOs and executive teams are working alongside role-based agents known as digital partners, not as an experiment, but as an operating standard. They’re experiencing firsthand what their teams are being asked to adopt, and that changes how they lead, what they prioritize, and how fast they move.

So if you're the CEO of a financial institution and you're deploying AI-powered tools to empower your organization with digital partners across your lending teams, your credit analysts, your operations staff, but you haven't adopted an executive digital partner yourself, I want you to think carefully about what that signals. Not to me. To your people.

You cannot hold your teams accountable to working alongside agentic AI if you're not willing to do it yourself.

### **What this moment actually requires**

I've spent time lately thinking about what separates the institutions pulling ahead from the ones running in place. And I keep coming back to one distinction: motion versus momentum.

Motion is activity. Committees. Strategy decks with 'AI' in the title. Pilots that generate reports that go to other committees. It feels productive. It is not momentum.

Momentum is different. It's when the work you did last month makes this month's work easier and faster. It compounds. It creates distance between you and your competitors.

According to [nCino's AI in Banking Benchmark](https://www.ncino.com/blog/ncino-ai-in-banking-benchmark-2026), which we released during nSight 2026, 84% of banking executives are already deploying AI at an enterprise level. And yet four out of five say they're prioritizing adoption over ROI — with the assumption that adoption will eventually lead to outcomes. That gap between speculative activity and the kind of momentum that drives real results is measurable. And it's growing.

The institutions moving from motion to momentum aren’t just deploying AI tools in isolation. They’re deploying AI through an operating model that compounds — one where every interaction makes the next one smarter, and every workflow adds to the institutional intelligence underneath it. That’s what the AOS delivers. Not a feature. A foundation that gets stronger every quarter.

At nCino, the only thing that has ever mattered to us is the outcome. Not the pilot. Not the proof of concept. The actual, measurable result that shows up in your numbers and in what your people are able to do.

### **The honest version of the ask**

I built a CEO agent stack for my own business and had it live in 30 days. The framework I used is available to every institution in our customer base.

You set the strategic agenda. You make the judgment calls. You own the context and the outcomes. The technology compresses the execution cycles and does the work that used to bury your best people.

The dual workforce — your people and AI digital partners working side by side — isn't a concept we're selling. It's something we’re living. And once you've experienced what it actually feels like for AI to work alongside you, not in place of you, the urgency stops being something you hear about at conferences. It becomes personal.

The dual workforce runs on the AOS — the orchestration layer that makes sure every AI action carries the right context, the right guardrails, and the right accountability. That’s not something you bolt on. It’s something you build from the inside out, over 14 years, across 1,600 financial institutions. The intelligence is already there. The question is whether you’re using it.

That's the shift worth making.

—

_Sean Desmond is the President and CEO of nCino. nCino's Agentic Operating System (AOS) and Executive Digital Partner are available to financial institutions today. _[_Learn more about the AOS and our agentic tools._](https://www.ncino.com/solutions/data-ai-analytics)

---

[View sitemap](https://www.ncino.com/api/markdown/sitemap)