You were told to do something with AI. No one told you what. I give you what you need to make the two hardest calls yourself: which AI moves actually matter to your business, and the proof that they work.
Some indications your current AI setup is broken.
Reaching a world-class model now takes a few lines of code, no research team, no infrastructure to own. The question moved from "can we get to it" to "do we know what to build."
The models got good enough for real work, not just demos, reasoning, long context, tool use. Things that failed a pilot two years ago now hold up in production.
With access and capability handled, the scarce skill is judgment: where AI fits your motion, how to build it to last, and the discipline to leave it out where it doesn't belong.
When everyone's rushing to deploy AI, these are the bets you don't want to lose.
95% of AI pilots deliver zero revenue. Your team shipped something, nothing changed. No one knows why, and you don't know what to do next.
You spent six figures on AI. Can you show the CFO it's worth it? Can you tell the board when they ask? Most mid-market leaders can't.
Your ads promise one thing, your website another, your sales team opens with a third. Buyers see the incoherence and slow down, pipeline moves slower, deals close later.
Your team is already using ChatGPT, Claude, and tools you don't know about. You have zero visibility, zero governance, and wasted spend across the org.
Which AI moves actually create leverage in your business, and which to skip, including telling you when a simple prompt beats an agent. The honest map, not the hype.
A number you can show your board, real measurement, not vanity metrics, so you know if your AI is actually worth the investment.
Cut through the noise on what the data actually says about AI value and deployment, so your board can make real decisions.
Registered Claude Partner, 30+ years in enterprise sales, and work with teams like KPN, PwC and Kaspersky. I hold myself to the same bar: I run a second company, RugbyFit, day to day through Claude. When a dashboard once said a campaign had failed, I checked twice. It hadn't.
Most teams pay full price for the same context, every single call, and never check if it has to be that way. Fixing it can cut token costs by up to 90%, real budget freed up for the AI that actually moves the number.
Most AI fails because somebody skipped the diagnosis and jumped straight to implementation. I do the opposite: figure out what's actually broken, which moves drive real revenue, and then measure it so you know it's real. If AI isn't the answer for your business, I'll tell you.
How it gets done is my job. The results are yours.
Book an AI Reality CheckOne page of hard-won rules for pointing AI at the right thing, and knowing it works. Print it, stick it on the wall, and use it to guide the decisions that actually matter.
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Download the PDF Or book a straight, no-pitch call →The AI Sales Specialist is the consulting practice of de Best Digital BV, helping revenue teams put AI to work without the hype.
I've spent 30+ years in enterprise sales across IT, cybersecurity, SaaS, and supply chain, including a 20-month digital transformation at a mid-market firm. I've seen every failure mode: pilots that returned nothing, boards rushing AI, teams lost in the tools.
I give you what you need to make the two hardest calls yourself: what is worth building, and the proof that it works. When AI isn't the answer, you hear that too. This is about judgment, not tooling, deciding what to build, knowing when to leave it out, and proving what worked.
A Registered Partner in the Claude Partner Network, keeping the advice grounded in current, practical AI capability rather than yesterday's assumptions.
Registered PartnerA 30-minute AI Reality Check. I'll look at your AI investments, show you what's working and what's broken, and leave you with a one-page view of what to build next, whether or not we work together. If AI isn't the answer for you, I'll tell you.