AI Strategy for Business: Why AI Won’t Fix Broken Processes
Every organization I know is trying to figure out AI.
What tools should we use? What can we automate? How do we save time? How do we make our team more productive? How do we make sure we aren’t getting left behind?
Those are good questions.
I’m just not convinced they’re the first questions.
Because here’s the problem with AI:
AI is really good at making things faster. Even things that shouldn’t exist in the first place.
If your process is broken, AI can make the broken process faster. If your messaging is unclear, AI can produce more unclear messaging. If nobody knows who owns something, AI can create more activity around the confusion.
And if your customer experience is frustrating?
Congratulations. Now you can frustrate people automatically.
That’s why a good AI strategy doesn’t start with AI.
It starts with understanding how your organization actually works.
AI Can Automate a Process. It Can't Tell You Whether the Process Is Good.
Most organizations don’t intentionally design every process they use.
They accumulate them.
Someone needed an approval five years ago, so now everything needs an approval.
Someone created a spreadsheet for one project, and somehow it became the spreadsheet everybody uses forever.
A report gets sent every Monday because somebody once asked for it.
Three people touch the same request because nobody has ever decided who actually owns it.
Another meeting gets added because communication isn’t working.
Eventually, nobody remembers why the process exists.
They just know:
This is how we do it.
Then AI shows up.
And suddenly we have the ability to automate the whole thing.
That sounds like progress.
But before you automate a process, there is a much more important question:
Does this process deserve to survive?
That question should be at the center of your AI strategy.
Before you automate a process, ask whether the process deserves to survive.
Don't Use AI to Make the Wrong Thing Faster
There is a difference between efficiency and effectiveness.
Efficiency asks:
How quickly can we do this?
Effectiveness asks:
Should we be doing this at all?
That difference matters.
You can become incredibly efficient at doing something that doesn’t matter.
You can automate ten steps in a process that should only have three.
You can use AI to generate fifty social posts a month without knowing what you’re actually trying to communicate.
You can build an automated sales funnel without understanding why people aren't buying.
You can create dashboards filled with information while nobody knows which numbers actually matter.
You can summarize every meeting your organization has without stopping to ask why you have so many meetings.
That isn't transformation.
It's faster activity.
And activity is one of the easiest things for organizations to confuse with progress.
What Should You Do Before Automating With AI?
Before choosing another AI tool, look at the work itself.
Ask:
What are we actually trying to accomplish?
Where are we losing time?
Where are people confused?
Where does work repeatedly get stuck?
Where are customers experiencing friction?
Where are multiple people doing essentially the same work?
Where are decisions waiting unnecessarily for approval?
What are we doing simply because we've always done it?
And maybe the most important question:
What problem are we actually trying to solve?
Because the problem may not be a lack of AI.
The problem might be unclear ownership.
The problem might be a bad process.
The problem might be inconsistent messaging.
The problem might be that your systems don't communicate.
The problem might be that four people are involved in a decision one person should be empowered to make.
AI may eventually become part of the solution.
But AI is not a substitute for seeing the problem clearly.
A Better AI Strategy Starts With the Workflow
This is where I think organizations often get AI backwards.
They start with the tool.
They open ChatGPT, Copilot or another AI platform and ask:
What can this do for us?
I’d start somewhere else.
Ask:
Where are we losing time, clarity, money or momentum?
Find that first.
Then look at the workflow.
What triggers the work?
Who owns it?
Who touches it?
Where does it slow down?
What decisions are being made?
Which parts require human judgment?
Which parts are repetitive?
Which parts add no value at all?
Once you understand that, then you can ask where AI belongs.
Maybe AI should automate part of it.
Maybe AI should support a person doing it.
Maybe the process needs to be redesigned.
Maybe two systems need to be connected.
Or maybe the greatest productivity gain comes from eliminating the process completely.
Sometimes the best automation is deletion.
AI Shouldn't Just Save Time. It Should Create Capacity.
Saving ten minutes is nice.
But I think the bigger opportunity with AI is creating capacity.
If AI gives a leader five hours back every week, the goal shouldn't simply be doing five more hours of administrative work.
What could that leader do with those five hours that only they can do?
Lead people.
Talk to customers.
Make decisions.
Solve problems.
Develop strategy.
Build relationships.
Create.
Think.
That is where AI gets interesting.
The goal isn't simply:
How much work can AI do?
The better question is:
What work could our people do if AI removed the work they shouldn't be doing?
That is a very different AI strategy.
The Best AI Question Might Not Be About AI
I’m incredibly optimistic about AI.
I think small organizations are going to be able to do things that used to require much larger teams.
Leaders will have access to better information.
Administrative work will shrink.
Customer experiences can become more personal.
Ideas can move from concept to execution much faster.
And organizations that learn to use AI well will absolutely have an advantage.
But the organizations that win with AI won't necessarily be the ones with the most tools.
They'll be the ones that understand their organization well enough to know where AI actually belongs.
They know what matters.
They know what doesn't.
They know who owns what.
They know where the friction is.
They know which processes need improvement.
And they know which processes need to die.
So before you ask:
How can we use AI?
Start with a better question:
What are we trying to make better?
Because AI can make almost anything faster.
Your job is to make sure you're speeding up the right thing.
Where Is Your Organization Getting Stuck?
AI may not be the first problem you need to solve.
The Blindspot Assessment helps you identify whether clarity, leadership, execution or alignment may be creating friction inside your organization — so you can work on the right problem first.
Comments