Right now, your team is probably already using AI — just not in any coordinated way. Someone found ChatGPT. Someone else is using a free tool they heard about. A few people are clicking the new AI buttons their accounting software or practice management system quietly added to the interface.
Nobody planned it. Nobody knows what's actually being used. And some of those free tools? They may be using your business data to train their models.
The gap isn't failed implementation. Most businesses haven't started. They're at the starting line — individually, without a map.
"We don't really have an AI strategy. People are just doing their own thing."
"I'm not sure what tools my team is actually using — or what data they're sharing."
"Our software added AI features. Nobody knows if anyone's using them."
ChatGPT, Claude, and other LLM fundamentals
Iterative prompting and collaboration
Evaluating AI output before trusting it
Appropriate uses — and where AI shouldn't be used
Privacy and security — what should and shouldn't go into a free or consumer-grade tool
Identifying work that's safe to delegate to AI
Role-specific use cases, not one generic session for the whole company
Leadership AI literacy and integration into daily workflows
A focused engagement to get your team using AI safely, consistently, and well — without a larger operations or technology project attached.
Adair & Co engagements follow Playbook → Build → Manage & Improve. When AI is part of a broader Scaling & Operations, technology, or Managed AI Services implementation, team training is built directly into the Build stage and reinforced afterward — the moment new systems go live and people need to be equipped to use them.
Playbook
During the Playbook, we identify where AI will touch specific roles and workflows — and what training will make adoption stick.
Build
Workflows, prompts, and tools are designed for how your team operates — and hands-on training and documentation get the people who will use them ready.
Manage & Improve
Questions answered as people put the training into practice. Guidance refined as you learn. A team that keeps using AI with confidence.
Tell me a bit about your team and where AI already shows up in your business — I'll follow up personally.