Intentional Application: The Firms Getting Ahead Are Using AI Differently

AI is in the room. Now what?

A lot of firms are still figuring that out. The tools are here. The interest is real. The profession is moving toward clearer standards around responsible use. But there is still a gap between having the tool and knowing where it actually helps.

A common pattern goes like this. AI joins the meeting. You read the recap. Maybe a follow-up gets flagged. That is useful. It also leaves a lot of value sitting on the table.

AI-successful firms aren’t using AI as a fancier note-taker. They are using it as a thinking partner. They are bringing their own judgment to the process. And they are finding that the biggest returns show up not in time saved, but in better conversations and stronger client outcomes.

Here’s what that looks like in practice.

Use Case 1 — Advisory Calls
Advisory is one of the biggest growth opportunities in accounting right now. Firms know it. Clients want it. And yet most of the conversation about AI in accounting has been about efficiency. Saving time, analyzing reports, automating the routine. That is valuable, but it’s not the whole story.

The real opportunity is the conversation itself.

Think about a quarterly advisory call. Maybe it’s about cash flow, pricing or runway. Long agenda, limited time. You cover the background, walk through the numbers, hit the main risks, and close with next steps. On paper, it was a good meeting.

Then a week goes by and the client comes back confused about something you thought was clear.

That happens more than most of us like to admit. The advice was solid, but the conversation didn’t land the way we thought it did.

This is where AI gets interesting. Run that call through an accounting advisory tool and suddenly you can see things that were hard to catch in real time. Maybe 70% of the conversation went to context and only 10% went to actual options. The client’s questions clustered at the very end, when time was almost up. The key risk got two rushed minutes. The client never reflected back their understanding.

That’s not a failure. It’s information.

And once you can see it, you can do something with it. You can schedule a short follow-up focused only on the decision. You can clarify the risk, ask better questions and make sure the client actually understands the path forward. That is where AI makes a difference. Not because it summarized the meeting, but because it helped you see how to make the next conversation better.

Use Case 2 — Leadership and Negotiation
The same idea shows up in leadership. It gives you visibility into how you communicate, how you handle difficult conversations, where you stand firm and where you give too much away. Negotiation is one of the clearest places to see that in action.

And here’s the challenge. The higher you go in a firm, the less honest feedback you usually get. The conversations that matter most, negotiating an M&A deal, talking to a PE firm, navigating a difficult partner conversation, happen at a level where very few people are positioned to tell you how you actually did. You leave with a gut sense. Sometimes that’s enough. Oftentimes it isn’t.

That means some of the biggest decisions in a firm are being made with the least amount of outside perspective.

In that situation, AI is especially useful. You can use it to get specific feedback. Where did I underplay my position? Where did I miss a chance to clarify terms? Then you adjust based on your professional judgment.

That is not abstract feedback. That is your own behavior, reflected back to you in a way you can apply right away.

So, before the next negotiation, you walk in with more than instinct. You know where you held your ground last time. You know where you gave away too much. You know what you want to handle differently. That kind of clarity can change the outcome.

Use Case 3 — Becoming a Better Professional Over Time
The first two use cases are about specific conversations. This one is more personal and long-lasting.

Most professionals develop their communication style through years of trial and error. A mentor here, a tough client there, a conversation that went sideways and taught you something. But that process is slow and depends on who happens to be available to provide feedback.

With the right AI tool, you can start to see patterns across many conversations over time, and you notice things you would never catch in the moment. That you tend to talk more than you listen when a topic makes you nervous. That you rush to solutions before the client has finished describing the problem. That you are at your best when you ask open-ended questions.

That kind of self-awareness compounds. One small adjustment, made consistently across many conversations, adds up. Not just a better meeting next week, but a better professional over the course of a career.

The Bigger Picture
This is the shift. Most accountants are using AI like a faster search engine or a better email writer. But the firms getting ahead are using it more intentionally. They are using it as a thinking partner to be better prepared, communicate more clearly, and grow as a professional over time.

That is what a secure tool like Navi is built to support. Not to outsource judgment. But to help the professional see more clearly what is happening in the room and what to do next.

That is a different kind of value. And it is a much better fit for the profession.