The opinions expressed by Entrepreneur contributors are their own.
Important points
- AI does not replace operational knowledge. Leaders need a deeper understanding of their business, customers, and workflows to drive informed outcomes.
- The value of AI in leadership goes beyond automation. This is the ability to establish visibility across initiatives and coordinate work at scale.
- AI moves leadership from managing sequential tasks to managing systems and results, enabling organizations to act faster without sacrificing oversight.
Internally, I built what I think is an AI executive co-pilot. This is integrated into how I manage my day-to-day business and is not something I review separately or run alongside my regular job. It’s part of my regular job.
Connected to CRM data, internal documents, and operational workflows. Monitor efforts across departments, track KPIs, flag risks, and highlight opportunities you might otherwise miss. If I need to move forward with seven sales initiatives at the same time, I draft the relevant communications to the appropriate people and direct them to review. If you need visibility into your finances, finances, and operations at the same time, you can. I don’t stop to take the conversation one step at a time. We’re directing multiple things at once in a way that wasn’t possible before.
What surprised me wasn’t what the system could do. That is what is expected of me as a leader.
The constraint is never technology
There is a persistent misconception that implementing AI at the operational level is a technical challenge. it’s not. The constraint is how well you understand your business. If you don’t understand the product, you won’t be able to properly prompt. If you don’t understand your customer, you can’t properly prompt them. If you don’t understand the workflow, you won’t be able to properly prompt. Also, the system is useless if it cannot prompt correctly.
For this reason, I believe strong operators with deep business knowledge are more valuable than technical experts in this environment. You must be able to educate your system about what your organization does, how you do it, and who you serve. Next, you need to be able to prompt where you want to go without having to tell the system how to get there. The second half is more difficult than you think. Most leaders are trained to prescribe solutions. Here you need to feed information to the system, educate it by displaying prompts, and get out of the way.
What was once programming is now prompting. What was once execution is now direction. This change applies to every leadership role in an organization, including myself.
I actually needed to know this
To make this work, we needed to get even closer to how businesses actually operate. It’s not the behavior I expected. How does it actually work? This means understanding the entire lifecycle from reception to underwriting, case management, risk management, and account resolution. That means knowing which KPIs are important and why, which KPIs may be missing, and what drives corporate value beyond internal performance.
It also means understanding the people who use our platform. Paralegal. lawyer. healthcare provider. Revenue cycle manager. Where are the friction points in their experience? Where are they adding work rather than removing it? What does the actual sales cycle look like at each stage? And where is activity breaking down relative to win rate?
AI will not solve these questions. It amplifies how clearly you already answer them. The less you understand, the more mistakes you will make. Once you get deeper, the system can analyze more variables than the individual and uncover opportunities you couldn’t identify on your own. You may discover coding issues, gaps in your sales efforts, onboarding friction points, and margin opportunities. The depth of input determines the depth of insight.
How I actually use it on a daily basis
I still have seven people reporting to me. I still stand up and have a Zoom with my leadership team every morning. What has changed is everything that happens around those touchpoints. I get into the system and encourage each leader’s efforts. Track where things are getting stuck. Spot anomalies in your performance data before they show up in your meetings. I move from managing tasks to directing results, and the system handles the coordination work in between.
As a result, multiple priorities can now be advanced simultaneously in a way that was not possible when all parts had to move in sequence. It used to be that you had to stop, connect with one of the department leaders, propose a change, move on to the next department, propose the change there, and then try to get the two of you to talk to each other. Now you can send them all at once. This is no small efficiency improvement. Fundamentally changing how fast your business moves.
What exactly this is: I’m giving instructions to the system, and the system is producing what I requested. They do not act independently. But it has allowed me to start, track, and drive more than I could manage on my own.
The visibility it creates is the real advantage
Every organization has blind spots. Stagnant efforts. Decision-making is delayed because no one sees the big picture. Opportunities that never surface because our attention is fragmented.
Such systems do not have those constraints. Track how long it actually takes, not how much time we think it takes. This reveals patterns that would otherwise take weeks to see. This gives me a level of continuous visibility across the business that is very difficult to maintain manually, and that visibility changes the way I lead.
My prediction is that this won’t be an option for long. The board creates these systems. Investors use them to evaluate performance. External stakeholders have their own views on what is really going on within the company. Leaders who have already built this capability in-house will be ahead of the curve. For those who don’t, you’ll end up explaining gaps you didn’t know existed.
The real constraint is judgment.
The question is no longer whether you can build something. It is whether it should be built, how it should function, and what it should be directed towards. These are leadership issues, not technical issues.
The leaders who succeed in this environment are not the ones who understand the tools best. They will be the ones who have a clear understanding of their business, customers, and operations and can guide the tools toward the results that matter. That clarity is your competitive advantage.
Important points
- AI does not replace operational knowledge. Leaders need a deeper understanding of their business, customers, and workflows to drive informed outcomes.
- The value of AI in leadership goes beyond automation. This is the ability to establish visibility across initiatives and coordinate work at scale.
- AI moves leadership from managing sequential tasks to managing systems and results, enabling organizations to act faster without sacrificing oversight.
Internally, I built what I think is an AI executive co-pilot. This is integrated into how I manage my day-to-day business and is not something I review separately or run alongside my regular job. It’s part of my regular job.
Connected to CRM data, internal documents, and operational workflows. Monitor efforts across departments, track KPIs, flag risks, and highlight opportunities you might otherwise miss. If I need to move forward with seven sales initiatives at the same time, I draft the relevant communications to the appropriate people and direct them to review. If you need visibility into your finances, finances, and operations at the same time, you can. I don’t stop to take the conversation one step at a time. We’re directing multiple things at once in a way that wasn’t possible before.
What surprised me wasn’t what the system could do. That is what is expected of me as a leader.
