I stopped asking questions...

What was your relationship with financial data before Dana?

Honestly, complicated. Not because we didn’t have data — we had plenty of it. And not because Finance wasn’t doing a good job either. They were. But in practice, all access to financial information went through them. Which makes sense. Preparing, structuring, consolidating, validating numbers across entities is a discipline in itself. It’s not something a CEO should be doing manually. Their role was to act as a control tower for the business: prepare reporting, surface insights, explain performance.

The issue is that my role as CEO is different. I’m constantly juggling operational realities, market dynamics, strategic priorities, commercial pressure, hiring decisions, execution risks — things that don’t always fit neatly into predefined analyses. So every month, I would receive a high-level financial review of the business. Useful, of course. But if I wanted to explore something more specific, investigate a trend, challenge a hypothesis, or understand a situation more deeply, I had to go back to Finance.

What happened when you needed answers quickly?

That’s where things became difficult. If the timing worked, I could get an answer within a few hours. If the team was already under pressure — which was often the case — it could take days. And even when answers came quickly, the process itself was fragmented.

I would ask a question. Then wait. Then receive an analysis that was often solid, but not always aligned with what I actually meant. Most of the time, I assumed it was my fault. I hadn’t framed the question properly. I should have given more context. I should have guided the angle of analysis more precisely. But at the same time, I didn’t want to over-orient the analysis either.

Part of me was afraid that by focusing the request too narrowly, we might miss something important. So I would ask again. Then clarify. Then ask something else. And at some point, the original reasoning was gone. You lose momentum. You move on to another topic. You stop thinking deeply about the issue because the interaction cycle itself makes it impractical.

Did this create tension with Finance?

Not tension, pressure. And I understood it. Finance teams are almost always understaffed relative to the importance of what they do. They already operate under constant deadlines, high expectations, and a huge responsibility around the reliability of numbers. Every additional analysis request — especially unexpected ones — creates more work for people who already feel overloaded. And as a CEO, you know that.

You know the CFO is careful not to burn out the team. You know nobody wants to lose a good analyst because the environment becomes unsustainable. So over time, you start self-regulating. You avoid certain questions. Not because they’re unimportant. But because you know what they will trigger.

Is that where the title “I stopped asking questions” comes from?

Exactly. At some point, I realized I had unconsciously stopped exploring certain topics deeply. Not because I didn’t care. But because every question came with friction: waiting, iterations, clarification cycles, meetings, additional workload.

So instead of going all the way, I would often move forward with partial information. Not because it was ideal. But because it was the only way to keep moving.

What did you try before Dana?

We tried improving the process itself. Better reporting. More structured meetings. Clearer requests. More alignment upfront. And of course, like everyone else, we also experimented with AI tools directly.

Giving people direct access to AI connected to financial data was already a meaningful improvement compared to the old way of working manually through spreadsheets, exports, and endless back-and-forth. But it didn’t fundamentally solve the problem. The core issue wasn’t simply access to AI. It was independence.

Even with AI tools, you still needed Finance in the loop to validate whether the reasoning, assumptions, and conclusions were actually aligned with the financial reality of the company. Otherwise, you ended up in a strange situation where people could generate analyses on their own, but without being fully confident that those insights were consistent with the logic Finance itself would use internally. And when important decisions are involved, that matters.

Finance remained essential. Not to slow things down, but because trust in the numbers and in the reasoning behind them is critical. And beyond that, there were also legitimate concerns around exposing highly confidential financial and operational data to external AI tools. So despite all the experimentation, the underlying dynamic remained the same. I still depended on someone else’s availability and interpretation to move forward. And Finance remained trapped between two impossible expectations: keeping the core financial machine running while simultaneously answering an endless stream of ad-hoc business questions.

So what changed with Dana?

The biggest shift is that the interaction became continuous. Instead of going through a request-response cycle, I can now interact directly with our financial data. I ask a question. Dana responds instantly. I go deeper. I challenge assumptions. I change angle. I investigate. The discussion keeps moving while the reasoning is still fresh.

And because Dana operates on top of structured financial data orchestrated and governed by Finance, I’m not interacting with random outputs or approximations. The answers are grounded in the same financial logic and consistency the Finance team relies on internally.

Concretely, how does that change the way you work?

I can finally explore a topic from start to finish in one sitting. What used to take days of fragmented back-and-forth now happens in minutes. And it changes much more than speed. The quality of decisions improves because you can actually stay focused long enough to fully investigate a subject. You stay in the reasoning. You keep the context. You follow the implications of a decision all the way through instead of stopping halfway because the interaction model itself becomes too slow.

But the other major shift is organizational. At first, I thought this would mostly impact leadership. In reality, it changed how the entire company interacts with financial information. It’s not just me anymore. Operational teams can now ask their own questions, investigate performance independently, challenge assumptions, and understand the financial consequences of their decisions without systematically going through Finance. And that changes behavior.

Before Dana, Finance was perceived by many operational teams as something distant. Important, of course — but often abstract. Financial analysis happened somewhere else. Usually in spreadsheets, reporting decks, or meetings they weren’t directly part of. Most people didn’t naturally think through the business using financial logic because access to that logic was limited.

Now, financial analysis becomes part of daily operational thinking. People explore. They ask follow-up questions. They test assumptions. Sarah, who leads Sales Operations, can now explore revenue performance across customer segments, identify which accounts are growing or shrinking, investigate churn dynamics, and understand how commissions and sales organization costs impact overall profitability before walking into a pricing or forecasting discussion. David in Operations can explore the financial impact of delivery delays, staffing decisions, or productivity trends himself. He can also ask Dana whether his team can realistically afford a new hire, and immediately understand how that decision compares to budget, how his organization is trending financially, what the downstream impact would be on operational performance, and whether the business can truly sustain that investment. Priya, who manages a regional business unit, can challenge a performance trend herself, investigate the drivers behind it, and truly operate her BU like a CEO instead of waiting for the next reporting cycle. And because the interaction is conversational, people keep digging.

They ask follow-up questions. They test assumptions. They look at margin impact, operational efficiency, trends, and anomalies directly — while the operational context is still fresh in their minds. And because the system is orchestrated and governed by Finance, everyone is still operating on the same financial foundation. That’s critical.

This is not a situation where every department invents its own interpretation of the numbers. Finance still owns the logic, the structure, and the consistency of the data distributed across the organization. What changes is that the company gains the ability to interact with that financial intelligence at scale. And the impact on ownership is massive. Operational leaders become more accountable because they understand the financial consequences of their actions much more directly. Finance stops being perceived as a distant reporting function and becomes embedded into how the business thinks and operates day to day.

Which also means Finance can stay focused on the areas where they create the most value, instead of constantly acting as a relay layer for information. There is no longer a bottleneck around financial data.

What would you say changed most fundamentally?

For the first time, I can think through the business with the numbers — not around them. And that changes much more than the speed of analysis. It changes the depth and quality of every strategic discussion inside the company. Before, financial conversations were often constrained by access, timing, and bandwidth. You discussed what had already been prepared.

You explored only a limited number of angles because every additional question created more work, more delays, and more pressure somewhere else in the organization. Now, the discussion becomes continuous. People investigate further. They challenge assumptions. They connect operational realities with financial consequences much more naturally. And because everyone interacts with the same financial foundation orchestrated by Finance, decisions become more aligned across the company.

That’s probably the most important shift. Finance stops being a separate function people occasionally interact with. It becomes part of how the company thinks. Not just at leadership level. Across the organization. And when financial understanding becomes embedded into everyday decision-making instead of being isolated inside reporting cycles, the entire company becomes sharper, faster, and more accountable.