Building a small network of AI champions inside your business

The single most underrated AI investment an SMB can make in 2026 has nothing to do with software. It's setting up a small, deliberate network of internal champions. Not a Chief AI Officer. Not a steering committee. Not a 'centre of excellence' with a budget and a brand. Three or four already-curious people, given a small amount of authority, a regular slot in the leadership agenda, and permission to experiment. That's it. Done well, it's the difference between AI feeling like a top-down programme and AI feeling like something the business is genuinely doing.

Why the champions model works

Every business already has people who are quietly experimenting with AI. They're using it to draft replies, summarise documents, build little spreadsheet helpers, and figure out shortcuts the leadership team has never heard of. Most of that work is invisible because nobody asked, nobody listened, and nobody made it safe to share. A champions network does three things at once: it surfaces what's already working, it gives the curious people permission to go further, and it creates a credible internal voice on AI that the rest of the team will actually listen to.

How to find them

You almost never need to recruit champions. They're already volunteering. Ask three questions in your next leadership meeting: who's been talking about AI in their team, who's quietly built something useful with it, and who keeps asking permission to try a new tool. The names will come quickly. Pick three or four. Cross-functional is better than cross-seniority - one from operations, one from marketing or sales, one from finance or admin, one from a customer-facing role. Skill level matters less than appetite.

What to ask of them

Be honest about the time commitment. A typical champion spends a couple of hours a week on the role: trying tools, helping colleagues with questions, capturing what's working, and joining a monthly meeting. It's a side responsibility, not a second job. In return, they get visibility, professional development, and air cover to experiment. For most curious people, that's a fair trade and one they're already half-doing for free.

The four habits of a working network

The networks we see deliver value all share four habits. Without these they tend to drift into a friendly but unproductive book club.

• A monthly hour-long meeting with a clear, light agenda: what we tried, what worked, what didn't, what we'd recommend the wider team try next.
• A simple shared space - a Teams channel, a Slack channel, a single shared doc - where champions post examples and quick learnings as they happen.
• A quarterly slot at the senior leadership meeting where one champion presents two real examples in fifteen minutes. No slides, real artifacts.
• An owner. One person who runs the network, sets the agenda, follows up, and keeps the energy up. Usually the same operator who owns the AI portfolio overall.

Air cover from leadership

The single biggest predictor of whether a champions network produces value is whether senior leadership visibly backs it. That doesn't mean attending every meeting. It means publicly citing the network's work, mentioning champions by name in town halls, defending the time they spend, and acting on their recommendations even when uncomfortable. Champions who feel like they're operating in the dark eventually go quiet. Champions who feel seen become the most productive people in the building.

Things to avoid

A few patterns reliably kill these networks. Making it a formal job title with a pay rise attached - then it becomes a political appointment. Filling it with the most senior people instead of the most curious - then it becomes a steering committee. Asking for monthly reports - then it becomes admin. Removing the budget the first time something doesn't work - then it becomes risk-averse. Treating it as a marketing exercise - then it becomes content rather than capability.

A typical first ninety days

Month one: pick the people, set up the channel, hold the first meeting, agree the focus areas. Month two: each champion runs a small experiment in their area and brings the result back. Month three: present the best two examples to leadership, agree the next quarter's focus, and start telling the wider team what the network is doing. By the end of ninety days, most businesses have surfaced at least one use case worth scaling, killed at least one tool that wasn't earning its keep, and made AI feel less like an executive project and more like a normal part of how the business operates.

What success looks like at twelve months

By the end of the first year, a healthy champions network will have produced a handful of genuinely useful internal case studies, helped the wider team adopt at least two tools well, killed off a few that weren't working, and quietly raised the AI literacy of every department they touch. They'll also be the natural source of candidates for any larger AI role the business eventually creates - because they've been doing the work, in plain sight, for twelve months.

Why this beats hiring a Chief AI Officer

Most SMBs don't need a Chief AI Officer. They need their existing team to use AI well, with confidence, and with a clear line of communication back to leadership. A small, well-supported champions network delivers that for a fraction of the cost of a senior hire and with a fraction of the politics. By the time you do need a senior AI hire, you'll have a clear job description, real examples to point at, and several internal candidates who already understand the business. That's a much better starting point than hiring a stranger to figure it all out.