Change Management Lead
Training Design & Delivery
What You Do Today
You design the training programs that build the skills people need to work in the new way — role-based curricula, hands-on practice, job aids, and the ongoing reinforcement that prevents the 'trained but not adopted' problem.
AI That Applies
AI-personalized learning paths that adapt training content based on each learner's role, prior knowledge, and demonstrated proficiency, focusing time on gaps rather than material they already know.
Technologies
How It Works
The system ingests each learner's role as its primary data source. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The practice design.
What Changes
Training becomes adaptive. AI adjusts the difficulty, pace, and focus of training content based on individual performance, so experts aren't bored and novices aren't overwhelmed.
What Stays
The practice design. Real skill building comes from doing the work in realistic scenarios with coaching and feedback. AI can deliver content, but designing meaningful practice and providing human coaching is where learning happens.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for training design & delivery, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long training design & delivery takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CEO or executive sponsor
“Which training programs have the highest completion rates, and which have the lowest — what's different?”
They set the strategic priority for transformation initiatives
your CTO or CIO
“How do we currently assess whether training actually changed behavior on the job?”
They own the technology capability that enables your strategy
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.