AI-native teams I have worked with
Selling AI is not selling SaaS with a new feature. SaaS democratized buying. AI replaces functions, and that puts the decision back on the board table, makes it political and makes the proof of concept the whole deal. I have sold AI hands-on for two companies and I train AI-native teams for exactly this motion.
The SaaS playbook was built for a bottom-up buyer. AI deals start at the top.
SaaS was about democratizing the buying process: a team lead could try, buy and expand. AI is about replacing existing functions, and that is a C-level initiative. Your reps need board-level language and real business acumen to translate the technology into something the business cares about.
A middle manager measures their worth in the number of people they manage. You are pitching to reduce that number, and with it their kingdom. Left to bubble up, adoption gets slow-walked by the very layer it disrupts. The deal only moves when it is a top-down mandate.
You are selling an outcome before it exists, so the proof of concept is where the deal is won or lost. Innovation budgets buy pilots. Rollouts need the value proven up front, enough time to prove it and a buyer who can defend the delta to their own board.
SaaS ran at 80% gross margins. AI runs at 15 to 30%. That changes what you can spend on acquisition, who you can afford to sell to and how long a sales cycle you can carry. Many AI sales teams still run a SaaS cost structure.
AI deals pass through legal, security and compliance, and they are often brought in by consultants who were hired to drive efficiency from the top down. Reps have to work with those intermediaries, not around them.
Discovery and demos built for board-level buyers: business acumen, a business case in the language of the P&L and a clear answer to what gets replaced.
See the training →Scoping, success criteria and a timeline that prove value up front, so the pilot becomes a rollout instead of a second pilot.
See the training →Prospecting on efficiency mandates, consultant engagements and board priorities, instead of on tool-curious end users.
See the training →For scale-ups: rep profiles, deal qualification and a coaching cadence designed for lower margins and longer, more political cycles.
See the training →No off-the-shelf curriculum. Before a single session gets designed, I look at how your team sells today.
I listen to your team's real calls and review pipeline, win rates and KPIs. That shows where deals stall in your market, not in a generic one.
Every exercise uses your buyers, your competitors and your product. Reps practise on the conversations they will have next week.
Follow-up sessions, call scorecards and manager coaching turn the training into how the team works, not a slide deck people forget.
Because AI replaces functions instead of improving them. Retiring a process is a strategic decision, so it is made at board level, while a SaaS tool could be adopted by a team and expanded later.
Pilots are easy to fund from an innovation budget. Rollouts need proven value, a defendable business case and a sponsor who outranks the managers whose teams shrink. As Geoffrey Moore put it, the speed of innovation has gone up, the speed of adoption has not.
At 15 to 30% gross margin you cannot spend on acquisition like a SaaS company at 80%. That forces sharper qualification, fewer and larger deals and a rep profile closer to a consultant than to a classic account executive.
Partly. The C-level and POC dynamics apply as soon as your AI replaces work instead of assisting it. If the AI is a feature inside a SaaS product, the standard discovery and demo training is usually the better fit.
Yes. I train in English, German and Dutch, remote or on-site, for teams across the Netherlands, Belgium, Germany, Austria and Switzerland. English sales terminology stays in place, so the frameworks work across mixed teams.
Send me one call from your top rep and one from a mediocre performer. I'll show you the exact gap, specific to how your market buys.