AI is not just on the agenda; it IS the agenda. The pressure to act was yesterday. The wheels are already in motion and aren’t stopping. What matters now isn’t ‘Do we AI?’. It’s ‘What are we actually using AI to do?’.
The quick fix trap
The temptation to look for a quick fix is real. Businesses often reach for a new platform, automation tool, or AI solution, hoping technology will make the problem disappear.
But technology rarely fixes a problem you don’t understand.
In fact, when you apply AI without understanding the underlying cause, the “fix” can become an even bigger problem. That’s because AI doesn’t neutralize what’s already there; it amplifies it.
Apply AI to a well-understood problem, and you accelerate the gain. Apply it before you’ve defined the problem it will address, and you accelerate something else.
The tool worked. The problem remained.
Suppose a financial services firm purchases an AI scheduling tool because leadership believes the team is stretched. Advisors are double-booked, response times are slipping, and there doesn’t seem to be enough time in the day. The technology is implemented. Schedules are optimized. Yet the problem persists.
That’s because scheduling was never the issue. The real issue is the constant reprioritization of a never-ending to-do list. Initiatives keep getting added, but they don’t get removed. No one is looking at the full picture, and no one is accountable for the outcomes.
That same organization might respond by adding more AI features to the scheduling tool, or layering in a second solution. Doing so could be valuable–but only if the organization has defined the problems it’s actually trying to solve.
The question you can no longer afford to skip
What problem are we actually trying to solve?
AI success starts long before you implement a new tool. It begins with two non-negotiables:
- First, get clear on the business outcomes you’re trying to achieve.
- Second, name a decision owner responsible for achieving them.
Get these right, and you’re likely to see a return on AI investment. Ignore them, and you’re building toward bloat.
What the 5% do differently
Without first understanding the problem and who owns it, you risk spending a lot of money and time on solutions that won’t move the needle on your business goals.
The organizations that benefit most from AI won’t necessarily be the ones that move fastest. They’ll be the ones who know what problem they’re trying to solve before they select a tool. And they’ll have a named owner responsible for the outcome.
This isn’t just about avoiding wasted time and spend. It’s about building AI in a way that compounds over time. It’s about having AI that makes a business impact–not just having AI because everyone else does.
So here’s where you start
The question was never whether to use AI. It was always: what problem are you using AI to solve? Most companies skip this question, but the ones that s쳮d don’t.
Our Now-Next-Later Session helps you decide what comes first and what stops. Our AI Strategy & Implementation service turns that into action.
