AI training that fits your reality — not generic slides
Most AI programs fail at the same point: translating “what AI can do” into your domain, data, risk constraints, and delivery model. We tailor training to your actual use cases so your team can make good decisions, work effectively with engineers/vendors, and ship real outcomes.
What you get:
Relevance over volume: we teach what matters for your context, and skip what doesn’t
Capability over dependency: your staff gain the skills to specify, evaluate, and govern AI work
Practical outcomes: exercises, templates, and next steps aligned to your environment
AI delivery is constrained less by tools and more by domain context, data realities, and governance requirements. External specialists can help, but without internal capability:
You pay a “domain ramp‑up tax” - paying consultants/contractors to learn your enterprise
You can’t reliably supervise quality/risk - your staff don't know enough
You become dependent on whoever built the first version.
You trust people who are insentivised to upsell, to find solutions that would save you money.
We train your people so they can specify work clearly, evaluate outcomes, and operate AI safely—whether you deliver internally or with external support.
You can—and sometimes you should. But if your team can’t lead the work:
You pay twice: once for delivery, again for outsiders to learn your domain and processes
You can’t govern effectively: weak internal capability means weak oversight (risk, compliance, evidence)
You don’t retain know-how: the organisation can’t maintain, extend, or safely scale what was built
Scope expands: not because anyone is evil, but because incentives favour delivery hours over capability transfer
We build the internal capability needed to run AI like a disciplined delivery function—then you choose what to do in‑house vs what to buy.