Selling AI is NOT like selling traditional software, and most sales teams are feeling that gap right now. These deals carry more complexity from the start. More people show up in the process, more caution shows up in the room, and reps hear a lot more hesitation while trying to move real decisions forward. They're being asked to sell through a level of ambiguity that still doesn't have a clean playbook. For sales leaders, the challenge is straightforward but not simple to solve: how do you create consistency across the team when the deals themselves are increasingly complex? That's what I'll be discussing in our upcoming LinkedIn Live - The New Reality of Complex Deals: what leaders should know about AI committees + multi-threading. We’ll get into what has changed in the way these deals move, where execution starts to slip, and how leaders can help teams operate with more discipline in an environment that keeps shifting. If you're leading a team selling AI solutions, this topic is already top of mind. Join us next Thursday: https://hubs.li/Q046z6mT0 #SellingAI #TechSales #BeElite
Depends on what "AI" is being sold but i think a large problem with the promise of AI is all the things it "can do". What I've experienced is when you provide a AI solution that can boil the ocean that becomes a very hard product to actually build messaging and trust around to communicate to buyers effectively. Instead the success is found when you clearly define specific use cases for your AI solution and have a laser focus on those as your GTM.
Interesting topic. What stands out in many AI deals is that they quickly move from a product conversation to an organizational conversation. Once AI touches workflows, data flows, or decision automation, suddenly multiple teams need to weigh in. That’s where the complexity — and the hesitation — tends to show up. Looking forward to hearing the discussion
AI feels so much less like selling product and more like selling process. I was part of the "digital transformation" brigade back in the day and we were definitely doing a lot of process change, but every process still came with a new hands-on-keyboard product. With AI, you're doing a lot more hands-off-keyboard and it's infinitely trickier to explain.
I wonder if we are looking at the 'process' the wrong way? While the 'bones' are probably right, should we have a longer lens on how long it takes to solidify a partnership?
interesting are you changing the Command of the message framework though?
Great post John. Consultancy based selling approaches for AI are critical IMHO, and helping the customer through a purchasing cycle is critical here too. There’s a maturity matrix that many customers ir sellers haven’t considered yet. The vertical axis being the one from use case concept to fully defined, business case written, outcome agreed agajnst CX, Run cost reduction, compliance and risk and improved speed of innovation etc and then on the horizontal, SW, Infra, Process and skills. The desired outcomes are not being properly defined by a sales person capable of taking a potential customer from a place of ‘latent pain’ to ‘active pain’ and so many AE’s are picking up halfway through a buying process when the start hasn’t been done well. This leads to bad close rates, low value ops and failed outcomes. Selling is getting more complex, but the old rules still apply, ‘become a trusted advisor’ and a ‘challenger’ if you want to sell big and successfully…
Great post John. Love to hear others finally catching on to this gap.
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2wThank you all for your incredible insights and value adds. Please keep them coming!