The AI-adoption tax
What standing still already costs you.
Ungoverned AI leaks money and data. Over-governed AI stalls and wastes it. H³ is the lightweight rhythm in between. Move the inputs to your reality and watch the annual number land.
01 · Your organisation
02 · The two-sided tax
Under-governed
The too-loose tax
Why 25%: a conservative default. Microsoft's 2024 Work Trend Index found 78% of AI users bring their own AI tools to work (80% at smaller companies).
€9.000 / yr in duplicated, un-leveraged spend
Why €30: about one consumer AI seat. ChatGPT Plus, Claude Pro and Copilot run roughly €20 to 30 per month.
€670.000 extra per incident (IBM 2025), so €134.000 expected / yr
Why 20%: IBM 2025 found roughly 1 in 5 organisations had a shadow-AI breach.
Over-governed
The too-tight tax
Illustrative experimentation budget for a small organisation. Set this to your own.
€27.600 / yr written off
Why 46%: the S&P Global / 451 Research 2025 average for AI POCs scrapped before production.
at 1.5x loaded cost to replace (Gallup range), so €540.000 / yr
Why 3: a conservative illustrative count, not the headline risk. A 2025 CalypsoAI survey found 34% of office workers would quit if their employer banned AI, so over-tight governance carries a real retention cost. Set this to your own departures. The 1.5x replacement cost sits inside Gallup's 0.5 to 2x range.
Your available budget, recurring every year
This is not a new cost. It is money you already spend every year on the failure-tax version of AI adoption: too loose on one side, too tight on the other. It recurs until the rhythm changes. Redirect a fraction of it and run adoption on purpose.
The question is not whether to fund AI adoption. You already do. It is whether the spend buys a rhythm that sticks.
Illustrative, not a quote. Sourced anchors: shadow-AI breaches cost about €670k more on average and hit roughly 1 in 5 organisations (IBM Cost of a Data Breach 2025, which reports this in US dollars; shown here at par as an illustrative euro anchor); the average organisation scrapped about 46% of AI proofs of concept before production (S&P Global / 451 Research 2025); replacement cost assumed at 1.5x loaded cost, inside Gallup's published range. Every figure is editable. Move the inputs to match your own reality.
What a fraction of that buys
A rhythm that ends with you not needing us.
We run Cycle 1. You renew cycle by cycle, only while it keeps earning its place. And we train an internal coach to take it over in about three to five cycles, so the rhythm runs without us. The goal is not a standing retainer. It is an organisation that adopts AI on purpose, on its own.
Want to see if H³ fits your organization?
In 30 minutes we work out four things: whether you have a viable Sponsor, where adoption is currently dying in your org, whether H³ fits the shape you're in, and what would make Cycle 1 succeed or fail. You leave with a concrete next step, sometimes "not yet."
No retainer trap: we train an internal coach to run H³ without us, usually within three to five cycles.