AI adoption for teams of 20–200
Gadir sets up your company's secure AI operating system — in 30 days.
A 30-day implementation engagement — not another software subscription.
Book a 30-minute callSee how it works ↓
Already running with 30+ people at an ISO 27001-certified European company — most of them not technical. Adoption measured at day 60.
🔒 Private by design · GDPR-documented · leadership-signed rules
Sound familiar?
How AI is set up
Everyone has their own AI — a ChatGPT tab here, a Claude account there. Scattered, personal, invisible to the company.
One shared company brain. The whole team works from the same knowledge — nothing scattered, nothing invisible.
How AI gets used
AI is a chatbot. You ask, you copy, you paste — and the result sounds like the internet, not like you.
Even non-technical people run agents and automated workflows. In our measured deployment: about 5 hours back per person, every week.
Where the know-how lives
Prompts and tricks live in personal chats. Every person works differently — and when someone leaves, their know-how leaves with them.
Everything worth keeping gets written into the shared brain, reviewed, and kept. New hires inherit it on day one.
Where your data goes
Company data pasted into personal chatbots. Nobody knows what went where.
A secure framework with clear, signed rules. Everyone knows what may go in — and what never does.
Same people. Different setup. That's the whole difference.
What we set up
Part 1 · The company brain
How you sell, write, price, and decide — written into one private knowledge base your AI reads. It answers like your company, not like the internet.
Part 2 · Training & onboarding
The AI itself teaches each person, step by step, on their own work — first result in 25 minutes, no technical background needed.
Part 3 · Workflow automation
Each department's repeated work — reports, proposals, specs, tickets — becomes a one-click AI workflow, tested on your real tasks.
Part 4 · A secure system
One page of clear rules on AI usage, written for your company and signed by your leadership — with the GDPR documentation your auditor will ask for.
Why it compounds
The system grows as you use it. Someone learns something → writes it down → a person checks it → it joins the brain. Next week, everyone's AI is a little smarter.
A year in, it's an asset nobody can buy off the shelf — because it's made of your work.
The 30-day engagement
A leadership workshop, then interviews with every department. What they know goes into the brain; the data rules get written and signed the same week.
Each department's most repeated work becomes a one-click AI workflow — every one tested on your real work before we call it done.
The whole team through the course — short lessons, on their own work. One person trains deeper and owns the system.
We stay in your Slack. Stuck people get help the same day. First wins get shared by the people who had them — not by us.
A month after we leave, we count who still uses it every week — against the number we promised. You see exactly what stuck.
Ask any other AI consultant to commit to an adoption number. We'll wait.
A real deployment
The deployment: an ISO 27001-certified AI software business in Europe — about 40 people across sales, product, engineering, operations, finance, and HR. Before Gadir: product specs took days. Customer issues bounced between support and engineering. Finance rebuilt the same numbers every month, by hand.
The 30-day implementation ran as described above — department interviews in week one, workflows in week two, 30+ people through the course in week three, adoption support in week four.
Six months of daily use later, it's simply how the business runs. Specs go from idea to dev-ready in hours. Customer issues arrive in engineering already diagnosed. Investor reporting comes straight from live billing data. The HR lead — who'd never used a technical tool — builds her own AI workflows.
Measured workflow improvements from this deployment:
How we measure: each workflow gets a baseline before rollout, then is measured again after adoption. The same methodology applies to every implementation — including yours, at day 60.
These are results from one real deployment. The business stays unnamed — client confidentiality is part of the same rules we install. Every company is measured independently; improvements depend on your existing workflows and how deeply your team adopts.
Get a quoteScope & investment
The setup — 30 days · fixed price
Statement of work — everything below is included:
Care plan — ongoing · cancel monthly
After the setup, we keep it sharp:
Quotes are scoped to your team size and departments. You pay your AI subscriptions directly to the vendor — we take no margin on them.
Next step