I'm seeing a pattern in how firms are organizing AI initiatives. Most of them put it under IT. They ask the CIO to own the strategy. They task IT with selecting tools and managing adoption.

This is a mistake.

Don't misunderstand me. IT needs to be involved. They own security, data governance, systems integration. That's critical. But they shouldn't be the owners of AI strategy.

Here's Why

AI strategy is not an infrastructure problem. It's an operations problem.

Your CIO cares about system reliability, security, integration, and compliance. All important. But they don't care about whether your intake process is 30% faster. They don't think about whether your team is spending more time on valuable work. They don't measure client satisfaction or billable utilization.

Those are operations concerns. And that's where AI creates value.

If IT owns the decision, they'll optimize for "secure and integrated." You'll get a tool that never breaks and plays nicely with your other systems. But your team still hates using it because it requires three extra steps.

The Right Ownership Model

AI strategy should be led by Operations, with IT in a support and governance role.

Operations/Business leadership owns: Which processes matter. Where AI can reduce friction. What tools actually solve problems. Whether ROI justifies the cost. How to measure success.

IT owns: Security, data handling, integration, compliance, infrastructure. They review every tool against security standards. They build integrations. They make sure nothing breaks.

This is the same model you use for other business-critical initiatives. Operations says "we need to improve intake," and IT helps them do it safely and reliably.

What This Looks Like Practically

Your Operations leader says: "Our intake process takes 45 minutes per client. I want to get that to 30. I'm going to test ChatGPT for initial screening and question generation. Here's my plan."

IT responds: "Here's what we need: No client PII in the prompts. Data stays on our side. Show me how you're using it. Here's our approved approach."

Operations runs the pilot. IT audits. Works or doesn't. If it works, IT helps integrate it into the actual workflow. If it doesn't, you try something else.

Operations is asking "does this solve a business problem?" IT is asking "can we do this safely?" Both questions matter. Neither owns the other.

Why Firms Get This Wrong

Most firms don't have a strong operations leadership. Operations gets treated as a cost center, not a strategic function. So when something strategic comes up (like AI), it defaults to whoever has the most authority. That's usually IT.

Also, AI sounds like a technology problem. So it feels right to give it to IT.

But it's not a technology problem. It's a business problem that technology helps solve. And that distinction matters.

What You Should Do Now

If you're a managing partner or CEO, ask yourself: Who owns operations in our firm? Do they have a seat at the table? If not, who should?

That person should lead AI exploration. Not to exclude IT, but to make sure the question is "what's the business problem we're solving" not "what's the technology we can deploy."

If you don't have a strong operations voice, consider bringing one in. Either promoting from within or hiring someone to lead this.

The firms that win with AI will be the ones that have strong operations leadership driving the strategy and IT enabling it safely. Everyone else will deploy tools that technically work but nobody actually uses.