Why is it so expensive?
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Because building on your own will cost you $1.5M+ and take 2+ years. With us: significantly less and significantly faster.
How does payment work?
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Mentoring: first three months paid upfront at kick-off. The final two months are on us. By the time we're handing over, you've already got the capability and we've already earned our part — no meter running during the transition. If we finish earlier than planned, we finish earlier; we don't invent work to justify invoices. The specialists themselves sit on your payroll from Phase 2 onward, so there's no separate billing on headcount.
When will we see results?
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You'll see results almost immediately. Within the first two weeks after onboarding we pick a few small tasks and ship them to production — nothing theoretical, real work the team uses. First full automations land in months 3-8. Break-even in months 10-12. Full autonomy after 12 months.
How does the engagement start?
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We pick one department first — where repetitive work is piling up and the pain is concrete. We map the problems, pull out a shortlist of processes worth automating, and draft the first implementation plan — what we'll build, in what order, with whom. Then we recruit from the market — typically 5-7 days per candidate to source, vet and hire. Once the team is in place, first changes ship as fast as we can make them — no drawn-out pilots, no slideware.
How do I actually save that OPEX?
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Automation gives your team back hours — the savings become real once you decide where those hours go next. The usual answer is redeployment: moving people into higher-leverage work they didn't have time for, or expanding roles that were already short-staffed. Layoffs are technically on the table, but it's not what we recommend and not what our clients have done — we optimize for transfers, not headcount cuts. Same people, better placed, tend to compound the automation's value rather than cap it at a one-time saving.
We're not ready yet
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That's why Phase 1 is about preparing the organization. We'll help you get ready – we start by understanding the company, not by deploying AI. And if you're genuinely too early in your maturity curve for a program like this, we'll tell you openly. A straight "not yet, here's what to do first" is more useful to you than a stalled engagement.
What if we don't have any AI in place yet?
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Not a problem — honestly, often a cleaner starting point. Before anyone signs a license, we'll walk you through what you actually need versus what vendors will push: tooling, access, security, data boundaries. We help you buy the right way, so your first deployments don't lock you into tech debt or a vendor you'll have to rip out next year.
How many clients do you work with?
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We take 8 clients per year. No more. Deliberate ceiling — we're not a consulting shop scaling headcount, we're a small team that goes deep with each engagement. Slots open as programs wind down, so the earlier we talk, the better your window.
What if people leave after we're gone?
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People stay because the work is interesting — they're building a new function, not running a backlog. They're on your payroll from Phase 2, not ours — you hire them, they belong to you. The track record: all 22 specialists we hired for clients in 2025 are still on their teams today. And if someone does leave, living documentation means onboarding a replacement takes weeks, not months.
