Your Team Already Wants AI, You're Just Not Letting Them Use It

Quick answer

Your Team Already Wants AI, You're Just Not Letting Them Use It explains what the change means for UK SMEs and how to turn it into a practical next step. The process is to identify the business decision, connect the data, then automate only the parts that improve speed or reliability.

I've seen this dozens of times. A director tells me their team "isn't ready" for AI. So they sit on it. Wait for the right moment. Build another steering group. Meanwhile, half the office is quietly using ChatGPT to write proposals and nobody's told HR.

McKinsey just dropped a proper chunky piece of research called "Superagency in the Workplace" and it basically confirms what anyone working in SMEs already suspects: your people want this. They're just waiting for permission.

What the research actually says

McKinsey frames AI as a "supertool", the same category as the steam engine, the internet, the smartphone. Things that didn't just improve work, they completely redefined what was possible. Their argument is that AI gives people "superagency", the ability to do more, know more, and decide faster than they ever could on their own.

But here's the bit that made me sit up: the gap between what employees want and what leaders think they want is massive. Employees are genuinely enthusiastic about using AI to offload the boring stuff. They're not threatened by it. They're frustrated they don't have access to it.

The real blocker isn't technology. It's not skills. It's leadership confidence. Too many decision-makers are paralysed by the "what ifs", what if it goes wrong, what if the data's dodgy, what if we're not ready.

Why this matters for UK SMEs

Right now there's a proper gold rush happening. Google just announced a $750 million fund specifically to help consulting firms roll out agentic AI to their clients. McKinsey, BCG, Accenture, Deloitte, they're all piling in. The big boys are going all-in on AI agents.

SMEs don't have $750 million funds. But we've got something better: we can move fast. A 50-person company can trial an AI agent for customer queries in a week. A FTSE 100 company needs six months of governance meetings to get to the same starting line.

The companies that get this right aren't the ones with the biggest budgets. They're the ones that just crack on and let their teams use the tools.

Three things to actually do

• Pick one process and go. Stop trying to "AI the whole business." Find one repetitive task, report formatting, meeting summaries, customer triage, and let a small team trial it for two weeks. See what happens.
• Ask your team what they want. Seriously. You'd be amazed how many companies roll out AI tools without asking the people who'll actually use them. McKinsey's research shows employees have strong, sensible opinions about where AI would help most.
• Don't wait for perfect data. Yes, clean data matters (I've banged on about this before). But waiting until your data is "ready" before letting anyone touch AI is like refusing to drive until every pothole in Britain is fixed. Start messy, improve as you go.

The biggest risk right now isn't using AI and getting it slightly wrong. It's watching your competitors use it and getting left behind while you're still forming a working group.