How to Cut 15 Hours From Your Next Project
Most enablement projects don’t take long because the work is difficult — they take long because the prep is slow. The structuring, the rewriting, the research, the documentation. AI compresses all of that. Here’s how AI saves up to 15 hours on a typical onboarding or product‑enablement project.
How AI Can Save You 15 Hours on Your Next Learning Project (Without Writing a Single Storyboard)
Everyone talks about using AI to create storyboards, write objectives, or organise content faster.
That's useful—but it won't save you 15 hours.
Here's what will.
Before you design anything, upload every source document into AI: SME interview transcripts, process documents, SOPs, existing training, product documentation, support tickets, and even Slack or Teams conversations if you have them.
Then ask AI one question:
"Identify every contradiction, missing dependency, undefined term, assumption, conflicting process, and unanswered question that would cause rework during design or stakeholder review."
The output is rarely glamorous—but it's incredibly valuable.
Instead of discovering halfway through development that two SMEs disagree on the process, that a key decision point was never documented, or that your assessment can't be answered from the source material, you uncover those issues on day one.
You're not using AI to create content.
You're using it to quality-assure your inputs before you start designing.
In most projects, the biggest time sink isn't building the learning—it's rebuilding it after the first stakeholder review.
Catching those gaps early can eliminate multiple review cycles, reduce SME back-and-forth, and easily save 10–15 hours on a medium-sized project.
The biggest productivity gains from AI don't come from creating faster.
They come from preventing work you never needed to do in the first place.
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