AI adoption training is for companies that have already paid for Copilot, ChatGPT or Claude licences but find only a few people use them. I'm Lilach Bullock, an AI implementation consultant and trainer with 23 years in marketing, and I run hands-on sessions built around your team's own work, then a 30/60/90 day plan so the use sticks after the session ends.
Here's the pattern I see. A company buys licences, sends a launch email, maybe runs a demo, and three months later the same handful of enthusiasts are using AI while everyone else has gone back to how they worked before. The tool wasn't the problem. Nobody showed people how it fits the work they do every day.
Why licences don't turn into use
- People don't know which of their tasks AI helps with, so they try it once on the wrong one and give up.
- They're not sure what they're allowed to paste in, so they play it safe and don't use it.
- Demos show impressive general examples, not their own reports, emails and briefs.
- Nobody owns adoption after launch day, so there's no follow-up and no one to ask.
Every one of those is fixable, and none of them needs a new tool.
What a session changes
I build each session from the tasks your team already does. Before we start, I ask for the jobs that eat the most time: the weekly report, the first draft of a campaign brief, the summary of a long thread, the customer reply that always takes too long. Then we do those jobs live, in the tools you already pay for.
People leave with prompts and workflows they can reuse the next morning, a clear idea of what's allowed, and the confidence that comes from having done it once with someone beside them. That's what moves a team from "I tried it" to "I use it".
A 30/60/90 day adoption plan
| Stage | What happens | What you should see |
|---|---|---|
| First 30 days | Hands-on sessions on real tasks, simple usage rules agreed, a few champions named in each team. | More people using the tool for at least one recurring task. |
| Days 31 to 60 | Follow-up clinic on what's working and what isn't, shared prompt library built from your own wins. | Teams swapping workflows instead of starting from scratch. |
| Days 61 to 90 | Look at which tasks are ready for automation, and agree who owns adoption from here. | AI is part of how work gets done, not a side experiment. |
The plan bends to your team. Some companies only want the first stage; others want help all the way through to automation.
Who this is for
- SaaS marketing teams with AI licences and uneven use across the team.
- Companies that rolled out Copilot, ChatGPT or Claude and want a return on the spend.
- Small businesses where the owner uses AI daily but the rest of the team doesn't yet.
- Managers asked to "get the team using AI" without being given a plan for how.
If you're on Microsoft 365, my notes on Copilot adoption go deeper on that tool. If you want the wider picture of getting a whole team ready for AI, see AI enablement.
How it runs
- A short call about your tools, your teams and where use is low.
- I collect the tasks that take most time in each team.
- Hands-on sessions, online or in person, on those tasks.
- Follow-up through the 30/60/90 plan, as much or as little as you want.
I don't publish prices. Scope depends on team size and how far into the plan you want support.
Teams I've worked with
My AI work this year has included a 50-person SaaS company that asked for AI enablement, a product marketing team that wanted a practical Claude workshop, a telecom company working on AI enablement, and small businesses that wanted to automate manual work. The common thread is that each one already had the tools. What they wanted was for people to use them well.
I've spent 23 years in marketing, spoken at over 100 events including TEDxBolton, and been listed twice as a Forbes Top 20 Social Media Power Influencer. When the right next step is automation rather than more training, I also work as an AI automation consultant.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
What to look for when hiring for AI adoption
- They ask about your current usage before they plan a session.
- They train on your real tasks, in the tools you already pay for.
- They include clear rules on what's allowed, so caution doesn't block use.
- They plan for the weeks after the session, not just the session itself.
- They know when a task should be automated rather than taught.
Adoption is a people problem more than a tool problem. I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.
Frequently asked questions
Who can help my team use AI tools we already pay for?
I can. I run hands-on AI adoption sessions on your team's own tasks, in the tools you already have, then support a 30/60/90 day plan so the use sticks.
Why isn't my team using Copilot or ChatGPT?
Usually because nobody showed them how it fits their own work, they're unsure what they're allowed to paste in, and there was no follow-up after launch. Training on real tasks fixes most of that.
What is an AI adoption consultant?
Someone who helps a company turn AI licences into everyday use: finding the tasks AI helps with, training people on them, setting simple rules and planning what happens after the training.
How long does AI adoption take?
It varies by team. I plan in 30/60/90 day stages so you can see progress at each step, and you choose how much support you want along the way.
Is AI adoption training online or in person?
Both work. I run sessions online or in person, built around your own work either way.
What's the difference between AI adoption and AI enablement?
Enablement is the wider job of getting a team ready for AI, including tools and rules. Adoption training focuses on getting people to use the tools you already have, every day.
