Are you running tomorrow’s business with yesterday’s thinking?
The quality of your questions determines the quality of your outcomes. Many companies ask, “Where can we use AI (artificial intelligence)?” Wrong question. It is a reasonable start, but it can lead to small improvements around the edges: a faster email, a shorter report, a quicker answer. The work may move a little faster while the way the company operates stays much the same.
A question for every owner and CEO: If you were setting up your business today, with the abilities of AI now available, would you organize the work in the same way?
The larger opportunity is to rethink how work moves through the business. AI can change how information is gathered, how decisions are prepared and how routine work gets done. That is the shift behind an AI-native company: A business designed to use AI as part of its everyday operations, rather than one that has added a few tools to old routines.
This does not mean every business needs to start again, or that people should be replaced. It means owners have to ask different questions about work that has been organized the same way for years.
Start with the whole process
Take a distributor that receives repeat orders through phone calls, email and messages. Staff may copy the same details into different systems, check stock and prices and prepare an order. If the company asks only, “Can AI help us enter orders faster?”, it may improve one step and leave the rest untouched.
A better question is: “How should a repeat order move from the customer to delivery?” AI could gather the details, compare them with previous purchases and prepare the order. An employee reviews it, talks to the customer about unusual requests and handles substitutions when an item is unavailable.
Do not begin with the tool. Begin with the customer and the work that needs to be done. Then ask which parts call for human judgment, which are routine and where AI can help.
Question the steps everyone takes for granted
In established companies, procedures grow over time. A form is added after a problem. A signature is required because someone once made a mistake. A report is produced because the previous CEO wanted it. Years later, people may follow these steps without knowing what each one is meant to achieve.
Before automating a process, ask whether every step is still necessary. Could two approvals become one? Is the report still useful? Are employees reentering information the company already has? If a process is unnecessarily complicated, making it faster will still leave it complicated.
Choose a process that matters to customers or consumes a lot of staff time. Follow it from beginning to end. Ask the people who do the work where delays and repeated effort occur. Then decide what to remove, what to change, and where AI could help.
Make the company’s knowledge available
A family business often relies on knowledge that has never been written down. The founder knows which supplier can deliver when the usual source is short. A long-serving manager knows which customer needs a call before a shipment is delayed. A sales director knows which terms are acceptable and where the company should hold firm.
That experience is valuable, but it can become a bottleneck. If every unusual situation means “Ask the founder” or “Wait until Maria is back,” the company is relying on a few people’s memory to keep moving.
Record some of that knowledge in plain language: what happened, what decision was made, why and what the team should consider next time. AI can help people find and use that material when a similar question comes up. It does not replace experience or guarantee the right answer. It makes useful knowledge easier to find and gives people a better starting point.
For a family business, this matters beyond efficiency. It supports continuity as the company grows, experienced employees leave and leadership passes to the next generation.
Give responsibility in stages
Trust in AI should be earned through results. Begin with a task where a mistake is easy to catch and the consequences are limited. AI can gather information, prepare a first draft, or flag an item for attention. A person checks the work.
If the results are reliable, give it more responsibility. Agree on who checks the work and when the trial will be reviewed. It might prepare routine replies for approval, sort incoming requests, or handle a defined step in a process. Set limits. Decide what must go to a person. Review the results and adjust the boundaries when needed.
The point is not to have a person check every action forever, or to hand over important decisions before AI has proved itself. The owner and team decide what level of responsibility makes sense, based on the task and the cost of getting it wrong. People remain accountable for how the business serves customers and makes consequential decisions.
This is why AI is a leadership issue
Information technology (IT) can help select systems, connect them and protect company information. But IT cannot decide on its own which parts of the business should change or what the company should get from the change.
That is the CEO’s work. Be clear about the result you want: fewer errors, quicker service, stronger sales, less repetitive administration or more time for employees to help customers. If the goal is unclear, it is easy to try new tools without knowing whether the business is better off.
The leaders who make progress will not necessarily know the most technical language. They will stay curious about how work gets done, listen to the people closest to it and question familiar habits. They will explain why changes are being made and involve employees in shaping them. People need to know what is changing, what remains their responsibility and how their experience will be used.
AI can help a company move faster, but speed is not the only measure. The real test is whether customers are better served and the business can do more of what matters with the people and resources it has.
The owner’s role is not to automate everything. It is to decide where human judgment, relationships and creativity matter most—and where AI can take on routine work or help people prepare better decisions. That is a business choice, not a technology project.
Return to the opening question: If you were setting up one important part of your business today, what would you ask people to do, what could AI handle and how would you know it was working?
Five to thrive
- Pick one important process and map it from start to finish.
- Ask which steps still add value and which are habits left over from the past.
- Record one piece of company know-how that currently lives in a person’s head.
- Give AI a small, well-defined task; check the results before expanding its role.
- Set a clear business goal for every AI effort and keep a person accountable for the outcome.
Tom Oliver, a “global management guru” (Bloomberg), is the chair of The Tom Oliver Group, the trusted advisor and counselor to many of the world’s most influential family businesses, medium-sized enterprises, market leaders and global conglomerates.
For more information and inquiries: TomOliverGroup.com or email Tom.Oliver@inquirer.com.ph.
