Most teams bolt AI on, one person at a time. We build it in: one knowledge base, one set of agents, and every fix your team makes is saved for the next person. Live in ten days. Yours to keep.
Everyone's using AI.
Alone.
Ten people, ten styles
Every prompt is a cold start. The output is only as good as whoever happened to write it, and it shows.
The model never learns your team
Everyone re-explains the same context, every time. The same mistakes keep coming back. Nothing sticks.
Good ideas die quietly
Someone finds a sharper way to work. It lives in their head, their chat history, one doc nobody reopens. The next person starts from zero.
AI as your team's operating system. Not a pile of personal chatbots.
Four layers. Each one turns private effort into something the whole team owns and builds on.
Shared context
One source of truth your team curates together. Every agent opens with it already in hand.
Everyone hand-feeds context, prompt by prompt. The gaps quietly add up.
Shared agents and skills
The same agents and skills for everyone. What one person nails on Tuesday, the whole team has on Wednesday.
Private prompts, private workflows. Nothing travels.
A learning loop that lives where the work happens
Every correction and every win gets written back into the system, right where the next person will meet it.
At best, an insight lands in someone's memory or a page nobody reopens.
A secured integration layer
One approved, SOC 2-compliant gateway (n8n) wires your agents to Slack, Notion, Google Workspace, your whole stack.
Every new tool is its own integration, its own approval, its own thing to maintain.
Nobody becomes an engineer. Your team just works and gives feedback. We handle the building.
A human signs off. Your champion decides what gets baked in. In the loop by design, not by accident.
Better, on autopilot. The next person to do the work inherits every improvement before they start.
Anyone can run a demo.
Few make it past the pilot.
Proven where mistakes cost money
Our technical partner has spent years putting AI into regulated production, the kind whose output lands in front of real customers. That same rigor goes into everything we build for you.
Claude Code, done right
We build on Anthropic's Claude Code. The patterns we earned the hard way (how to shape an agent, structure a skill, keep the system maintaining itself) ship with yours. Your champion inherits the craft, not just the keys.
Ten days. One champion. Live, not a slide deck.
Discovery
We map how your team actually works and find where AI earns its keep first. Your champion is named today.
Build the system
Shared context, agents, skills, the learning loop. Built next to your champion, not behind a curtain.
Wire and harden
We connect your stack through the secure gateway and pressure-test it against real work.
Live in production
One or two workflows running for real. Your champion takes the wheel. You own an asset, not a retainer.
Want us to keep going after day 10? We can. But the whole point is that you don't need us to.
We've shipped AI where mistakes are expensive.
Thirty years between us building product, design, and engineering at the Israeli tech you already know (monday.com, Riverside, and more), years putting AI into regulated production, and hundreds of people trained through Tom Even's workshops, here and abroad.
Turn AI from a tool into a team.
Tell us what your team is trying to pull off. If a sprint is the right move, we'll say so. If it isn't, we'll say that too.