We train your people to lead AI adoption. Not generic workshops. Hands-on enablement that creates internal champions who drive sustainable results.
95% of AI pilots never reach production. Not because the technology doesn't work. Because nobody inside the organization can sustain it.
Executives announce AI initiatives. IT buys tools. Nobody uses them. Six months later, you're back where you started with an expensive subscription nobody wanted.
External experts implement solutions, then disappear. Your team doesn't understand what was built. Problems arise. Nobody knows how to fix them.
Your team is already using ChatGPT through personal accounts. No governance. No visibility. Sensitive data flowing to public AI platforms while you debate policy.
One person figures out AI. They get promoted or leave. Nobody else knows what they knew. The company has to start over. Again.
The solution isn't more technology. It's building internal capability.
Companies that succeed at AI adoption have one thing in common: internal champions who understand both the tools and their business, and can bridge that gap for everyone else.
We don't just train people on AI tools. We build a sustainable internal capability that compounds over time.
We find the people in your organization who are already curious about AI. The ones asking questions. The ones experimenting. They become your foundation.
Deliverable: 5-15 identified champions across departments, ready for training
Practical training on your actual workflows. Not generic AI courses. Your champions learn by solving real problems in your business.
Deliverable: Trained champion cohort with company-specific prompt library and playbooks
Champions need structure to operate within. We help you create policies that enable innovation while protecting sensitive data.
Deliverable: Published AI policy, governance framework, steering committee playbook
Champions start helping their teams. We stay alongside to answer questions, troubleshoot problems, and ensure momentum continues.
Deliverable: Self-sustaining champion network with ongoing support infrastructure
2-3 hours per week being the go-to person for AI questions in their department. Not experts. Colleagues willing to try stuff first.
"Can Copilot help me summarize these meeting notes?" Your champion shows them the trick they learned last week. Takes 5 minutes.
"Can AI speed up monthly reporting?" Your champion tests it on their own reports first, then shares what worked and what didn't.
Your champion gets early access. They play with it for 20 minutes and tell the team if it's actually useful or just marketing hype.
Half the time, the answer is "I don't know, but let's figure it out together." That's fine. That's the job.
Think of champions less as experts and more as colleagues willing to try stuff first.
The ones who say "Yeah, I broke that too. Here's how I fixed it." When your team sees someone like them using AI for real work, that's when adoption actually happens.
Bottom-up adoption through champions works better than top-down mandates. Here's what that looks like in practice.
Team was already using AI tools without governance. No way to track what data was being shared. Leadership saw risk, not opportunity.
We formed an AI steering committee, created usage policy, and trained champions across departments. Those champions then led implementation of 9 AI tools, including a custom chatbot used on their largest bid ever.
The Internal AI Leaders Program is typically delivered as part of our 90-day AI implementation engagement. It can also be structured as a standalone engagement for organizations focused specifically on building internal capability.
Not sure if this is right for you?
Schedule a 30-minute consultation. We'll discuss your current state, your goals, and whether champion enablement makes sense for your organization. No pitch. Just an honest conversation.
Schedule Free ConsultationNo. The best champions are people who are curious and willing to try things. They don't need computer science degrees or to understand how LLMs work under the hood. They need to explain things without jargon and admit when something doesn't work.
Month 1: About 4-5 hours total for training. Months 2-3: About 2-3 hours per week. After Month 3: About 1-2 hours per week, mostly conversations that happen naturally. It's lumpy, like most things that matter.
That's actually ideal. We start by identifying who's already experimenting (your shadow AI users). They become your champion candidates. We formalize what they're doing, add governance, and help them share their knowledge more effectively.
Generic AI training teaches features. We teach how to apply AI to your specific workflows. Champions learn by solving real problems in your business, not by watching videos about theoretical use cases. And we build the governance structure that makes adoption sustainable.
Your champions continue operating. They have playbooks, prompt libraries, and governance frameworks to guide them. Many clients transition to advisory retainers for ongoing support, but the goal is internal capability that doesn't depend on us.
Schedule a 30-minute consultation. We'll discuss your current state, identify potential champions, and determine if this program fits your needs.