I design and implement AI systems that automate repetitive work, support customers, and surface insight from data — built around a measurable outcome, not the technology itself.
I don't sell "AI implementation" as an abstraction. I start by finding where the business is actually losing time or money — then decide whether the fix is a model, a workflow automation, or a plain integration between existing tools.
Most projects start with a single process — ticket handling, answering routine customer questions, or building reports — and grow into a full AI stack for the company once the first result earns it.
I work with teams of 3 to 300 people, from small schools and agencies to manufacturing and logistics companies.
"Kirill understood our internal workflows faster than most of our own hires. The bot launched in ten days and genuinely took load off support."
"We expected a typical consulting deck. Instead we had a working prototype by week two. That's rare."
Tell me what's eating the most time in your team right now — a 20-minute call is usually enough to know whether there's an AI project here, and roughly what it would cost.