AI Hub captures how your people actually use AI — every tool, every step — then turns the best of it into reusable skills, living wikis, and measurable adoption. The knowledge stops dying in closed tabs.
Manifesto
AI adoption isn't a project you finish. It's a culture you compound.
Your competitors are running pilots. The advantage goes to the company where everyone gets a little better with AI every day — and where that improvement is captured, shared, and measured instead of lost.
Most companies run a few AI projects. The real value is in the thousand small ways your people already touch AI every day — today invisible, uncaptured, and evaporating. AI Hub turns that scattered individual use into a compounding, org-wide capability — steered from the top, fed from the ground, and proven with evidence.
Every dollar of AI productivity today is rented from the model vendor — and most of it leaks away before it ever becomes something your organization owns.
AI budgets climb while ROI stays a black box. Leadership can't steer what it can't see — and surveys give them nothing to steer with.
The best prompt, the workflow that saved a day, the agent that just works — used once, then gone. None of it accrues into something the org keeps.
A handful of people drive most of the leverage. Their know-how is tacit, undocumented, and impossible to spread through town halls and posters.
Each stage answers a need, not a feature. Run continuously, the flywheel is the adoption engine — with a steering wheel on top and a dashboard underneath.
Make the invisible visible. Auto-capture how AI is actually used across every tool — then surface who's getting real leverage.
Turn tacit know-how into owned assets. Package the workflows that work into reusable skills your org keeps — not rents.
Diffuse power-user skill to everyone. A catalog with one-click install and contributor attribution moves the whole team up.
Context that gets smarter. Living wikis, certifications, and evals so the organization's AI fluency keeps building on itself.
Most "AI adoption" programs ask people how they feel. That's a vanity metric — gameable, lagging, unprovable. AI Hub measures the work itself.
The evidence loop — the engine
A survey can't close that loop — it can't prove the lift. AI Hub can. That's the demo that sells.
The axis isn't top-down vs bottom-up. A real practice needs both, joined by evidence. Leadership sets direction; adoption flows up from how people actually work; the two meet in a continuous loop: measure → evaluate → adjust.
Grounded in what ships today — across capture, build, share, learn, and the steering layer that sits on top.
Not a survey. These are real, anonymized aggregates pulled read-only from a live AI Hub deployment — percentages are exact, every figure is group-level only.
Connects to the tools your people already use, and captures in a way both executives and the workforce can feel good about — steering, not policing.
Captures every major AI tool
Plugs into your org
Capture runs on the user's machine, under their control. The workforce wins too — it spotlights what works, never catches laggards.
Conversations are scanned for personal data and secrets before anything is stored — no credentials, no surprises.
Every captured session is de-duplicated and versioned, so the record stays clean as skills evolve over time.
See your real AI adoption — and turn it into capability you own. Book a 30-minute walkthrough and we'll show you the loop on live, anonymized data.