Every L&D leader is being asked the same question right now: How are you using AI? Most answers fall into two traps. The first is hype — broad claims about transformation that say nothing about the actual work. The second is avoidance — caution dressed up as responsibility, with no real framework underneath.
This deck is my answer to that question.
It names the three places where AI genuinely accelerates L&D production — analysis and audience research, drafting and iteration, and media production — and the three places where human craft is still non-negotiable: trust with the audience, judgment on whether learning is even the right intervention, and translating deep SME knowledge into something a learner can use.
The framework at the center of the deck applies a simple rule across the full learning lifecycle: The 'do' goes to AI. The 'review' stays human. It's the principle I use in my own work, and the lens I bring to every team I've built.
Built in May 2026. Aptos typography, brand-consistent palette anchored in red #C40303. Designed for executive readouts and L&D leadership conversations.

Situation
In 2026, every L&D role I was interviewing for was asking the same question in different words: How do you use AI in your work? The candidates being asked this question generally fell into two camps. Some had a tool stack but no framework — they could name ChatGPT, Synthesia, and Claude but couldn't articulate when each one helps versus hurts the work. Others had a cautious posture but no real point of view — they could explain why they were being careful with AI but couldn't show what they would actually do with it. I saw a gap: senior L&D candidates were being expected to bring an AI POV, but very few had one that was concrete enough to defend.
Task
I wanted to build a portfolio piece that did three things at once. First, it had to articulate my own POV on AI in L&D — not borrowed, not theoretical, grounded in my actual work. Second, it had to demonstrate visual design skill, because most senior L&D roles now include design fluency as a stated requirement. Third, it had to be reusable: not a one-off application asset, but something I could anchor cover letters to, reference in interviews, and post publicly as thought leadership.
Action
I built a 12-slide framework deck called How AI Accelerates L&D: A Practical Framework. The structure walks through three places where AI genuinely accelerates the work (analysis and audience research, drafting and iteration, media production) and three places where human craft is non-negotiable (audience trust, judgment on whether training is the right intervention, deep SME translation). The centerpiece is a framework table applying my principle — the 'do' goes to AI, the 'review' stays human — across the full learning lifecycle from analyze through evaluate.
I designed the deck end-to-end in PowerPoint using a consistent brand system: Aptos typography throughout, my signature red anchored in a charcoal and neutral palette, dark section openers for visual rhythm against light content slides. The whole deck holds together as a single coherent artifact, with no template defaults visible anywhere.
Result
This deck stands as an example of what I bring to a senior L&D or AI Enablement role: a defensible POV, the design fluency to communicate it, and a framework practical enough to apply on day one. It demonstrates how I think about AI in learning design, how I translate strategic positions into concrete artifacts, and how I maintain brand and visual consistency across long-form deliverables.
The principle at its core — the 'do' goes to AI. The 'review' stays human — is the same lens I bring to enablement work in practice. It's not theory. It's how I decide what to delegate to AI and what to keep under human judgment in my own day-to-day.