Every week someone asks me: "How should we use AI?"
It's the wrong question.
The better question is: "Where are our decision-making processes already weak?"
AI magnifies what's already there
AI has an interesting way of revealing the strengths — and weaknesses — of an organization.
If your processes are inconsistent, AI makes inconsistency happen faster.
If your documentation is poor, AI surfaces poor information more efficiently.
If departments operate independently, AI often magnifies those silos instead of removing them.
Clarity comes first
The companies seeing the greatest return from AI didn't begin with artificial intelligence. They began with clarity.
Clear goals. Clear ownership. Clear processes. Clear expectations.
Only then did they ask where AI could reduce repetitive work or improve decision-making.
What AI is actually good at
The most successful AI projects I've seen aren't replacing people. They're removing friction.
They summarize meetings. Prepare first drafts. Analyze large amounts of information. Generate ideas. Handle repetitive administrative work.
That allows people to spend more time doing the work only people can do. Thinking. Leading. Building relationships. Making difficult decisions.
The organizations that will win
Technology has always changed how we work. AI is no different.
The organizations that succeed won't necessarily have the most AI. They'll have the clearest leadership.
The AI questions worth answering start with the business, not the model. That is the conversation HaveSight is built to have.
— Allan Sivils, founder, HaveSight