Uncover your strengths and weaknesses
This Scorecard has been designed to show entrepreneurs, startups and small businesses their blind spots and provide instant, actionable steps on how to improve
Itβs free and only takes 2 minutes
This Scorecard has been designed to show entrepreneurs, startups and small businesses their blind spots and provide instant, actionable steps on how to improve
Itβs free and only takes 2 minutes
You're stuck for an entirely different reason no one talks about β and in four minutes, this assessment tells you exactly what it is.
Find Your AI Trust Archetype βNot generic advice β the one root cause behind your stalled AI investment, named precisely.
The hidden logic in how you, specifically, have been approaching AI β and why it feels so right.
What to do first β before the next tool, the next hire, or the next pilot.
Most CEOs blame the data, the tools, the team, or the timing. This assessment shows you what's actually underneath β and it's almost never what you think.
Find Your AI Trust Archetype βYou took AI seriously. You invested β maybe heavily. You're seeing some return: faster content, quicker research, a few useful tools. But it's stalled. The transformation everyone promised hasn't arrived, and you're getting marginal gains where you expected a step change.
So you reach for an explanation. We need cleaner data first. We haven't found the right platform. We need the right person to lead this. The timing isn't right. Our industry is too regulated. Each one feels true. None of them is the real blocker.
Across B2B CEOs in IT services, manufacturing, and tech, one pattern became impossible to ignore: what's stopping you isn't capability. It's trust. You haven't yet built the foundation that would let you trust AI with your actual business β your standards, your judgment, your way of working. And how that mistrust shows up is shaped by your leadership style. There are nine recognizable patterns. You're one of them.
The CEO or founder of a $5β25M B2B company β IT services, manufacturing, professional services, or tech β who has already invested in AI, is seeing real but limited returns, and is privately frustrated that it isn't scaling the way it should. If you've never touched AI, this isn't for you. If you're stuck at the ceiling, it's exactly for you.
Nine AI Trust Archetypes. Each is a different reason capable leaders stall β and each has a specific way out. You'll likely recognize yourself within the first few questions.
Waiting for clean data before trusting any of it.
Certain the next platform is the one.
Won't move until the right expert is in the seat.
Handed it to the team closest to the problem.
Already winning β and that's exactly the trap.
Holding back to shield the team.
Waiting for others to prove it first.
Frozen by the risk in a regulated world.
It only works when you're the one driving it.
Each archetype comes with the strength behind it, the blind spot inside it, and the one move that unlocks scaling. Most CEOs say the description feels uncomfortably accurate.
Find Your AI Trust Archetype βAfter 25+ years in B2B marketing and sales β a decade at SAP, 15+ years running a B2B agency β Hannah helps mid-market CEOs build the knowledge foundation that makes AI trustworthy enough to scale. The nine archetypes come from real patterns across real B2B companies, grounded in current research on why most AI investments stall.
β[Testimonial from a CEO who took the assessment and had the recognition moment β ideally naming their archetype and what shifted.]β
"I don't have time."
Four minutes. Most CEOs spend longer than that re-reading the same AI vendor email.
"Another generic quiz?"
No. One clear outcome, written specifically for your archetype, with a concrete first move β not a score out of 100 you forget by lunch.
"Will this just be a sales pitch?"
You get your full archetype and your unlock whether or not we ever speak. The insight stands on its own.
Nine archetypes. One of them is you. Discover which β and the single move that finally unlocks scaling.
Find Your AI Trust Archetype β