Questions
The questions managers ask most often, answered directly. If yours is not here, ask it on a free 30-minute discovery call.
Start with one team and real work, not a tool rollout. Most teams already have the software; what is missing is the confidence to use it on the tasks they actually do. Pick a genuine piece of work, train on that, and let people leave having finished something.
The training that fits your team's real work, rather than a generic curriculum. Look for sessions built around tasks your people already do, delivered without coding, and structured so participants complete real work during the session itself. Ask any provider to show you their session structure before you book.
Treat the resistance as reasonable, because it usually is. This is a change management problem rather than a technology one. Build the sessions around the expertise people already have, so the message is that their judgement matters more, not less. Start with the willing and let results persuade the rest.
Yes. No coding and no prior AI experience are required. The skills that make someone good at their job (judgement, clear thinking, knowing what good looks like) are the same skills that make them good at using AI. Training for non-technical professionals is the core of this practice.
Corporate training for up to fifteen people is $2,500 for a half day and $4,000 for a full day. Small-group workshops are $350 per person and one-to-one coaching is $175, all in US dollars and net of local taxes. Team rates depend on size and scope, confirmed after a free discovery call.
Probably nothing structural. Poor results are usually a prompting and framing problem rather than a tool problem, because vague requests produce vague output. Most teams also stop at the first disappointing answer instead of treating it as a first draft. That is the specific gap this training closes.
The honest answer is that AI changes what a job involves rather than removing the need for judgement. Work that depends on knowing your field, your clients and your context becomes more valuable, not less. The real risk is not the technology; it is a team that never learns to direct it.
Keep it short and practical. Cover what may and may not be put into a model, who signs off on AI-assisted work before it leaves the organisation, and where people go with questions. A policy your team remembers beats a comprehensive one nobody reads. Sessions cover this in plain terms.
The AI Practitioner is based in Siem Reap, Cambodia, and delivers in person across Cambodia and the wider region, and online throughout Asia and Australasia. Working hours run on Indochina Time, UTC+7. The business trades as Groundframe Ltd, a UK-registered company.
Yes, and it is a deliberate focus. AI literacy is fast becoming a professional expectation across the development sector. Sessions are built around the work NGO teams actually do (reporting, proposals, donor communication and research) rather than generic examples. Reduced rates are available for registered NGOs in Cambodia.
Thirty minutes, no cost and no obligation. Bring the problem you are actually trying to solve.