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We help organizations find where AI creates real value — not as a workshop exercise, but as implemented systems that change how work gets done.
Your team has experimented with ChatGPT. Your competitors are making AI claims you can't verify. Vendors are selling you 'AI solutions' that are repackaged old products. Your board is asking for an AI strategy. And somewhere in your organization, there are workflows that AI could genuinely transform — if you could find them, validate them, and build for them. The gap between 'talking about AI' and 'AI delivering value' is where most organizations get stuck.
My competitors are making AI claims and I can't tell what's real
My board wants an AI strategy but I don't want to fund another pilot that goes nowhere
We've tried AI experiments but nothing has made it into production
I know there's value here but I don't know where to start without wasting money
We don't sell you a vision and leave you to figure out implementation. We start with what's real in your organization — your workflows, your data, your constraints — and build from there. Discovery leads to a roadmap. The roadmap leads to built systems. Built systems lead to measurable outcomes.
We audit your data, workflows, and team capability. Identify where AI can actually create value and where it can't.
Ranked opportunities by impact and feasibility. A roadmap that sequences quick wins ahead of transformation projects, with clear ROI at each stage.
Build the systems. AI assistants trained on your knowledge. Automation pipelines inside your workflows. Translation, content generation, analysis — whatever the assessment identifies.
Your team learns to work with the AI systems. Training, documentation, and ongoing refinement as real usage reveals new patterns.
Good — you have internal advocates. We work alongside existing teams, not replacing them. We bring specific implementation experience that complements what you've already built.
For some use cases, you're right. That's exactly why we start with a readiness assessment — we find the opportunities where the economics actually work. We've also paused our own AI product when the math didn't work, and revived it when it did.
We've built AI pipelines with EU compliance standards, self-hosted systems, and local model inference. We work within your requirements, not outside them.
Built a local AI pipeline for Hebrew and French translation at EU compliance standards. Cost dropped from $100/page to $2-5/page with 90-95% accuracy plus human audit. 98% cost reduction.
Designed a human process first, trained non-technical staff, then built an AI pipeline on top. Target: 16 hours → 2 hours per lesson. Low-cost local models with human review.
Built and prototyped our own AI product in 2025. Paused when model costs made unit economics unviable. Revived in 2026 as tech matured. We know the cost-performance frontier because we live on it.
We start with a readiness assessment. No hype. Just a clear-eyed view of where AI can actually create value in your organization.