Session AAI Foundations: MK's POV & Getting Comfortable
Every associate starts here. Not a generic AI 101, MillerKnoll's actual point of view on AI: why now, what Lean AI means, and where the real opportunity sits. You leave comfortable enough to stop watching a demo and start typing.
Session BBuilding With AI
The hands-on companion to Foundations. This is where the mindset becomes muscle: real prompts on real work, a first small agent, and the judgment to know when the output is good enough to put your name on.
Take both together in four hours, or split across two, two-hour sessions.
AI as a Thought Partner
For people who've built something and are ready to think with AI, not just task it. Three moves: challenge an idea, diversify your options, uncover what you hadn't considered.
What you'll learn- Using AI as a devil's advocate to pressure-test a real decision before it's final
- Generating a wide set of options fast, then narrowing with your own judgment
- Prompting techniques that surface blind spots you didn't know you had
- When to trust the output, and when it's just a confident-sounding guess
AI for Creativity
Reframes the question. Not "does AI make me more creative," but "what does creativity actually need, and where does AI fit." Built around protecting attention and clearing the friction in the way.
What you'll learn- The difference between focused attention and the permission to wander, and why both matter
- What AI can absorb versus what only you can do
- Using AI as an accelerant for drafts, research, and options, not a replacement for the process
- A live exercise: bring something you're stuck on, get unstuck in the room
AI for Strategy
Sensing, framing, and scenario building. Use AI to see patterns at scale and pressure-test direction, while the actual strategic call stays exactly where it belongs: with you.
What you'll learn- Using AI to synthesize market and competitive signals faster than you could alone
- Running a devil's advocate pass on a real direction before the room sees it
- Generating multiple plausible paths so leadership compares real tradeoffs
- Where AI's pattern recognition ends and your intent has to take over
Reinventing the Process
For teams ready to stop improving a process and start questioning whether it should exist in its current form. Not a faster version. A different way of working.
What you'll learn- Mapping a real process end to end, before touching a single fix
- Separating judgment steps from routing steps, and being honest about which is which
- The reframing question: would you build this process this way if AI existed from day one
- Redesigning one real workflow live, then naming what got uncomfortable
AI for Leaders
A practical guide for managers introducing AI to a team: permissions, framing, rollout, and the coaching required once the tool is live. This is about team capability, not personal use.
What you'll learn- How to introduce Copilot to a team: rollout logistics, permissions, and framing
- Spotting where each person on your team sits on the AI Immaturity Curve
- Coaching the skeptic and the overconfident user differently
- Shifting focus from "am I using AI well" to "is my team getting better"
AI Champion
For people ready to run the room themselves. Loops through the rest of the curriculum, then adds facilitation: reading the room, handling the skeptic, and co-running a session before you go solo.
What you'll learn- Reading a room's position on the AI Immaturity Curve in real time
- Facilitating the reframing exercises without just handing people the answer
- Handling the skeptic and the overconfident participant live
- Co-facilitating a real session before running one solo
AI for People Who Haven't Started
For the person who has avoided Copilot since it showed up on their desktop, no matter how many nudges from IT. The way in isn't your inbox, it's the marathon training plan, the recipe box, or the trip you keep meaning to plan. Two hours, one small personal build, and the same judgment muscle carries into Monday's actual work.
What you'll learn- Picking a low-stakes personal project as your first real AI attempt
- Getting past the blank-prompt freeze with a structure that works on anything
- Judging a first output honestly, then asking for a second, better one
- Naming the one work task where this same approach applies
Sustainable AI Fundamentals
Most people think AI's footprint is either nothing or a catastrophe. Neither helps you make a better call at your desk. This session shows what actually moves the needle: which model you pick, how you write the prompt, and where MillerKnoll's own Copilot usage creates cost nobody's watching.
What you'll learn- Reading MillerKnoll's real AI footprint numbers, not the internet's guesses
- Matching model size to the task instead of defaulting to the heaviest option
- Prompt habits that cut energy use without cutting quality
- Where Copilot Chat's footprint is invisible today, and why that's a governance gap, not a personal failing
Talent & Skill Development with AI
For managers ready to move past "did my team take the training." AI can help you spot where each person's skills actually sit and design the next stretch assignment, not just recommend another course. Built for people leaders, not individual practice.
What you'll learn- Reading where each direct report sits on the AI Immaturity Curve, skill by skill
- Turning a skill gap into a specific stretch assignment this week
- Pairing a confident user with a reluctant one so both move
- Making the case for AI skill-building as career development, not compliance