The More You Automate, the More Business Acumen Matters

There is a comfortable assumption running through a lot of the current conversation about automation and AI: as tools take over more of the work, people will need to know less. In my experience, the opposite happens. The more you automate, the more the business depends on people who understand what the output actually means.

A tool can write the campaign, build the forecast, summarize the data, and recommend the next action. It does not know your margins, your customer relationships, your brand promise, your operating constraints, or the commitment you made to a partner last quarter. Someone still has to decide whether the answer is right for this business.

Automating a weak process just makes it faster

When Darrell Fincher-Crusan and I talked through this, we kept landing on the same risk. Companies automate work without first asking whether the work should exist. Speed applied to the wrong activity is not productivity. Before automating anything, I would ask:

• Should this work exist at all?
• Is the current process the right process?
• What does a good result look like?
• Who reviews the output before it reaches a customer?
• What happens when the tool is wrong?

A small team automating a flawed email program does not get better marketing. It gets more of the same marketing, delivered faster, to more people.

Business acumen is not a soft skill

In a smaller company, employees rarely stay entirely inside one functional box. Marketing affects sales. Operations affects retention. Hiring affects productivity. Service quality affects customer value. Technology decisions affect nearly everyone. The more connected employees are to the economics of the business, the better the decisions they make when a tool hands them ten options.

Darrell's experience reinforces this. His work reducing turnover from 115% to 50% and leading organizational redesign that produced $75 million in savings did not come from HR process alone. It came from understanding the financial consequence of people decisions. That is business acumen applied inside a function.

What leaders can do about it

Business acumen is developed, not hired for once and forgotten. Practical steps for a lean organization:

• Share how the company makes money, in plain terms, with the whole team.
• Tell people what a customer is worth and what it costs to acquire one.
• Involve employees in defining the problem, not only in executing the task.
• Give feedback tied to business outcomes rather than activity volume.
• Review automated output together until judgment is established.

A marketing employee who understands the connection between awareness, acquisition, conversion, retention, and revenue will use an AI tool very differently than one who is measured on how many posts went out this week.

Measure the outcome, not the volume

Automation makes activity metrics look excellent. More emails. More posts. More reports. More content. None of that tells you whether the business improved. Retention, customer value, conversion, margin, and productivity do.

If a tool saves a team ten hours a week, leadership should be able to say where those hours went and what the business gained. If no one can answer that, the company bought efficiency without buying value.

The question for 2027

As you plan next year's technology and staffing decisions, ask a simple question about every automation on the list: after this is running, who in the business has enough judgment to tell whether the output is good?

If the honest answer is nobody, the priority for 2027 is not the tool. It is the capability of the people who will be responsible for it.