The AI Integration Audit
Go From "We Have the Tool But Nobody's Using It" to a Team That Actually Saves Time With AI
(Even If You've Already Rolled It Out Once and It Didn't Stick)
In this free email series, you'll discover the five mistakes that kill AI adoption before it ever gets traction, and the step-by-step process real organizations are using to fix them.
What You'll Get Inside:
5 Short Emails - 1 Costly Mistake Per Day
Day 1: The "Tool First" Trap
Why buying the platform before mapping your processes sets your team up to fail, and the question you should be asking before you spend another dollar on AI.
Day 2: The Cow Path Mistake
Why bolting AI onto a broken process just breaks it faster. Plus the story of a client who had 25 years of process that all had to go before AI could actually help them.
Day 3: The Content-Only Blind Spot
Most teams use AI for writing and stop there. Here's where the real time savings are hiding, including how one controller went from 20-plus hours of manual reporting a month to reviewing a dashboard that updates itself.
Day 4: The Missing Policy
Only one in three organizations has an AI acceptable use policy. Here's what happens without one, and the seven questions that produce a complete policy in about 45 minutes.
Day 5: The Finish Line Fallacy
Why organizations that treat AI as a project with an end date are already falling behind, and what ongoing AI capability actually looks like from the inside.
Who This Is For:
Leaders who are paying for AI tools their team rarely opens
Organizations that did an initial AI rollout and never saw the results they expected
Executive directors and CEOs who know AI matters but aren't sure where to actually start
Teams with one or two AI champions and everyone else still on the sidelines
Anyone who's been told to "just use AI more" without any real strategy behind it
Organizations that want to equip their people with real skills, not just access to a chatbotBullet List 2
I'm Rachael Leventhal Garnett —
AI Integration Consultant with a process archaeology approach to organizational AI adoption.
I come at this differently than most people in this space.
I'm not here to sell you on a tool. I'm not here to tell you AI is going to fix everything if you just use it more. I'm here to help you figure out what's actually getting in the way and build something that works for your specific team.
I've helped organizations identify the workflows where AI actually belongs, build the policies that protect them when things go sideways, and create the kind of ongoing training that keeps their people confident and current as the technology changes.
I've sat with controllers drowning in 20-plus hours of manual reporting every month. I've worked with teams of 13 where three people had never opened an AI tool despite having full access. I've caught internal tools about to be launched in ways that would have created real problems.
And in every one of those situations, the issue wasn't the tool.
It was the foundation underneath it.
Here's what I believe: AI doesn't change businesses. People do.
The organizations getting real results are not the ones with the most sophisticated platforms. They're the ones where leadership took the time to do the work upfront, map the real processes, build the right guardrails, and support their teams through what is genuinely a culture shift.
That's what this course is about.
And that's what I do.
What Others Are Saying...
