If someone asked you today whether your AI investment is working, could you answer?
In forty five minutes, you will have one.
-Wednesday, 26 August
-2:00 PM ET | 1:00 CT | 12:00 MT | 11:00 AM PT
-45 minutes. No cost.
Learners Trained
Measured across Sessions
Live With CHRISTA
Cost To Attend
The Training
45 Minutes. Live.
Here's What You Leave With.
Your Adoption Number, scored privately in the room.
You have spent money on AI and you still cannot say, in one sentence, whether it worked. You will leave with a score across the six things that actually determine whether AI sticks, calculated by you, seen by no one else.
The arithmetic, done live on a real workflow.
"Everyone is using it" is not a number, and it will not survive your next budget conversation. You will watch one real workflow measured end to end, so you can run the same calculation on your own team on Monday.
Your stage, named, and what it means.
Not knowing where you stand is what makes the next decision feel like a gamble. You will leave knowing which of the four stages you are in, what is genuinely working, and what is quietly at risk while you scale.
A first move you can make this week
Most leaders leave sessions like this with ideas and no starting point. You will leave with three specific steps, matched to your score, that do not require new budget to begin.
Save Your Seat
Not Our First Technology Shift
Christa spends her days inside organizations that have already bought AI and cannot yet prove it worked. She built Learnit's AI pathway, facilitates the cohorts herself, and writes the impact report at the end of every engagement, which means she has had to defend the numbers in front of the people who signed the cheque.
Christa Hill · Chief AI Learning Officer | Learnit
You signed off on the AI investment and you now own the answer. Someone will eventually ask what it returned. Right now the honest response is a shrug and a story about how the team seems to like it.
You are being asked to approve more before the last round has been proven.
The request is on your desk, the business case is thin, and saying no feels as risky as saying yes.
You are the person who has to report on adoption. You can pull licence counts and login numbers all day.
None of it answers the question you are actually being asked, which is whether the work got better.
You are ahead of your peers and cannot tell whether it is real. Things look like they are working.
You would like to know that for certain before you build a strategy on top of it.
