AI will appear in many 2027 planning conversations.
Executives will ask where it can save time, improve productivity, and help teams accomplish more. Employees will suggest tools they have tested. Department leaders may arrive with different priorities, expectations, and definitions of success.
These conversations can be valuable. But they often begin one step too late.
Before deciding where to add AI, leaders should identify where work is already creating unnecessary friction.
The Problem Is Not Always a Lack of Technology
Imagine a sales manager preparing a weekly update.
They export information from one system, copy numbers into a spreadsheet, check another report for customer activity, and send messages to team members asking for missing details. Once everything is assembled, they create a summary for leadership.
The process may take hours, but no single step looks serious enough to change. It has simply become “how the report gets done.”
Adding AI to that process may help write the summary faster. It will not necessarily fix the duplicate entry, disconnected information, or repeated follow-up.
The same problem appears across the business:
- Employees repeatedly search for documents.
- Managers reformat the same reports every week.
- Customer information is entered in multiple places.
- Meeting notes do not consistently become assigned tasks.
- Approvals sit in inboxes because no one can see their status.
- Employees create manual workarounds when systems do not connect.
These are productivity problems before they are AI opportunities.
Start With the Workday
A CEO does not need to evaluate every AI product. A better starting point is to ask where employees lose momentum.
Where are people waiting?
Where do they enter the same information more than once?
Which recurring reports require the most manual preparation?
What work depends on one employee remembering several steps?
Where do mistakes happen because information is copied between systems?
These questions reveal where the business is absorbing small delays every day. Once the problem is clear, leadership can decide whether the solution involves AI, automation, process improvement, system integration, or a combination.
Faster Is Only Better When the Process Is Right
AI can accelerate work, but speed alone is not the goal.
If an employee produces a report faster but cannot trust the underlying numbers, leadership has not gained much. If AI drafts customer communication using outdated information, someone must still identify and correct the mistake. If a confusing approval process is automated, the company may simply complete the wrong steps more efficiently.
That is why the best AI initiatives begin with a defined business outcome.
For example:
- Reduce the time required to prepare a weekly report.
- Make customer information easier to locate.
- Turn meeting decisions into trackable assignments.
- Shorten the time between a request and an approval.
- Help employees find accurate internal information.
Clear outcomes make it easier to evaluate whether an improvement is actually working.
Make 2027 Planning More Practical
Before approving another AI tool, select one recurring source of frustration and examine it closely.
Talk to the employees who perform the work. Map the steps. Identify where information becomes delayed, duplicated, or unclear. Then decide which parts should be simplified before they are automated.
This approach is less exciting than purchasing the newest platform, but it creates more useful results.
AI should not give employees another place to work. It should help remove the work that never needed to be so difficult in the first place.
Not sure which everyday processes are creating the most friction? Uncommon Solutions can help you identify practical opportunities to save time and prepare your business for responsible AI adoption.
