Licences, not leverage
Seats are paid for. A handful of people use them well, most use them as a better search box, and nobody can say what it returned.
You already bought the AI. This is the part where it starts paying for itself — turning scattered tools and half-finished experiments into systems your team actually runs on.
Anthropic-certified Claude Code Partner
Seats are paid for. A handful of people use them well, most use them as a better search box, and nobody can say what it returned.
An automation someone built last quarter still runs — until it breaks, and the person who made it has moved on.
AI sits between IT, ops and whoever was curious. It is nobody's job, so it stays a side project.
Company data pasted into consumer tools, no review path, no logging, no idea what is running where.
Every existing AI workflow, tool and licence mapped: what it does, who uses it, what it costs, where it silently fails.
Broken and near-miss automations get repaired first — fastest return, no new spend. The rest is ranked by hours saved against effort.
Agents, automations and internal tools shipped to production every month. Working software, not slide decks.
Your team learns to run it: working sessions, documented patterns, guardrails and review paths so it survives without me.
For teams with AI in use but nothing owned or measured.
For teams that want capability built in-house, not rented.
For teams who want features shipped, not just advice.
No lock-in — month to month, cancel with 30 days' notice. No seat fees, no per-user pricing, no resale margin: you buy your own AI licences directly and keep them. Everything built is yours — your repos, your accounts, your infrastructure.
The Anthropic credential says we are qualified to run Claude Code activations end to end. The published record says we ship.
Straight answer: our production record is with owner-led businesses in retail, food service, logistics and professional services — not enterprise IT departments. What we bring instead is throughput and ownership: eight published apps and twenty-five live systems delivered by one person, because AI is the delivery layer rather than an assistant. If your problem is that AI has not turned into working systems, that is precisely the gap we close. The first month is an audit — you will know exactly what we are worth before committing to a second.