Speaking and research
The room stops carrying it privately and starts arguing about it together. Melissa Reeve names what AI is doing to the work, hands everyone the same words for it, and leaves the group pointed at a next step they chose themselves.
Most of your audience has heard the AI talk. They've sat through the demo that got a wow and changed nothing. They can recite the stats back to you. The missing piece is a picture of their own organization with their own names on it, and an outside voice gets to say the sentence your own leaders have been circling for months.
What your audience already has
They're using the tools. Somebody in that room has already saved themselves a day a week, and two or three of them are teaching their teams on the side.
The thing most likely holding the room back
Nobody has told them what happens next. They can watch their own work change and they can't see who decides what that means for their role, their team or their budget.
You get one hour with everyone in the same room, and at most a few of those a year. Three ways that hour gets spent.
An hour of theory. The room nods along, the frameworks are sound, and nobody can apply one of them to the thing on their own desk.
An hour of demos. Everyone says wow. The org chart is identical the following week, because a demo shows what the technology can do and says nothing about who in the building is allowed to decide anything.
An hour where forty people hear forty different things. Each one goes back to their team with a different word for the same problem, and you pay for that in meetings for the next two quarters.
And the people wondering whether their own job survives this are in that room either way. An hour that talks past them sends them back to their desks with the same worry they walked in with.
A keynote slot is the cheapest place in your organization to give a few hundred people the same vocabulary. Every AI steering committee and every roadmap fight after it moves faster when people already share the words.
The keynote's job is to land 'I have a role to play.' Then we build on the energy of the keynote and make it actionable.
The reaction I hear most often after a talk is "well, this is common sense." Of course it is! It's built on work that's been proven out for decades, with the lessons reimagined for the speed and scale of AI. People leave with names for what they've been seeing, and a next step that feels like a natural extension of where they already are.
27%
Just over a quarter of US workers now worry technology could make their job obsolete. Up 7 points in a year, and roughly double the 13% who said so in 2017. Source: Gallup, September 2026 (507 employed adults, surveyed August 3 to 24, 2026)
Workers who use AI frequently are about twice as likely to fear their job will be eliminated within five years as workers who use it a few times a month. What moves that number is whether people feel their organization respects them and has a plan. Source: Gallup, September 2026 (nearly 30,000 worker observations, 2023 through Q1 2026)
Rather than presenting a finished conclusion, Melissa builds the picture with the room, live. Her first version of her cohort had four headwinds on a slide. In August she asked the room for theirs instead. Thirty-seven went up on the board, and exactly one was about the technology. Each talk runs on a framework from the book, so people leave with something they can redraw for their own organization, and a worksheet to do it with.
01
Where are you on the AI adoption curve, and what does the next waypoint ask of you?
02
For the people who have to answer when someone asks whether their job still exists.
03
Your return tracks how fast people learn from each other, so the seat count is the wrong number to watch.
04
Have a different room or a different question in mind? Get in touch and we'll shape a talk around it.
Talk it through →Every talk gets rebuilt for the room. Send the agenda, the audience and what you want them arguing about afterward, and Melissa comes back with an outline before anything gets designed. Twenty-minute opener through half-day working session, in person or virtual.
Check availabilityA keynote, then a 90-minute working session the next morning with eight to twelve of your leaders. That session is where the group picks its own first move and puts names next to it. Ask for it when you ask about dates.
Check availabilityStart here
The keynote lands, everyone leaves energized, and the energy has nowhere to go.
The keynote lands 'I have a role to play,' and the session the next morning turns that into a decision the group made themselves.
Melissa · 47 sec
Why Shared AI Responsibility Fails
Melissa · 49 sec
How One Bank Cut an Eight-Hour Task to Three Minutes
Melissa · 62 sec
The FOCUS Framework for Choosing AI Use Cases
Melissa set the bar for the depth we needed to achieve. From the moment she opened the workshop, our executives understood this was a transformational change, not just another initiative or pilot.
Thank you for a wonderful talk. It landed very well and was the perfect addition to our workshop.
Your presentation landed really well and provoked at least an hour of lively discussion with strong engagement from everyone.
That payments team left the offsite with an action to stand up AI leads, an AI council and their first activation hub.
At the education company, the CEO was referencing AI champions and asking the team to set a North Star within 48 hours.
The calendar for the next quarter is being set now. Get in touch about your dates.
DC State of the Stack keynote
Melissa has spent 25 years watching serious people try to fix how organizations work, starting with the Toyota Production System at Waseda and running through the Agile movement, the Agile Marketing Alliance and Scaled Agile. Each one changed part of a company while the budget cycle, the org chart and the performance review carried on unchanged. AI is the first force strong enough that the operating model can't absorb it and keep going. That's the opening the book was written to name.
I'm just one voice in the choir, but I think it was important for me to join the choir.
Author of Hyperadaptive: Rewiring the Enterprise to Become AI-Native (IT Revolution Press, 2026). Research draws on cohorts of AI leaders at a global insurer, a Fortune 500 beverage company, a national logistics carrier and a global tech company.
