Five Questions to Ask Before You Buy Corporate AI Training in Hong Kong
Somebody senior decided your team needs AI training, and now the choosing is your job. Every provider page you open says roughly the same things: practical, hands-on, tailored. This is a checklist for telling them apart, from someone who sits on the provider side.
That last part matters: I sell corporate AI training. Read everything below knowing where I sit, and use the questions against me too.
The one distinction that matters
Most corporate AI training is a tool demo with better slides. People watch impressive things, rate the day 9 out of 10, and change nothing by Friday.
The alternative is training built for behavior change: exercises that use your team's actual work, so people leave having already done their job with AI once. You see the difference three weeks later, in whether anyone still uses any of it.
Everything below is a way of testing which kind you're buying.
Five questions that sort providers fast
1. "What happens after the workshop?"
One-off sessions fade, whatever the vendor. When a Hong Kong food manufacturer took AI department by department - HR first, then sales and marketing, manufacturing, finance, R&D - each batch was scoped to that team's actual work, and each led to the next. At HKCT, a 400-staff development day grew into a 24-month AI learning community with monthly sessions. Ask every provider what their version of "after" looks like. If the answer is a feedback form, that's your answer.
2. "Whose workflows do the exercises use?"
Generic prompts teach people to use AI for someone else's job. Ask whether the provider collects your team's real tasks before the session and builds exercises from them. This is more work for the provider, which is exactly why it's a useful filter.
3. "How do you measure, and when?"
A score collected while the demo glow is still on tells you about the show. A score collected after people have used the material in their real work tells you about the training. A 4.48 out of 5 measured across months of repeat engagements is a different animal from a same-day 9 out of 10 - and I say that as someone who has both kinds of numbers.
4. "Who is actually in the room?"
The person who scoped the deal is not always the person who delivers. Ask who your trainer is, what they delivered last month, and whether they use these tools for their own work daily. A trainer who doesn't ship their own work with AI is reading you a script.
5. "Can you deliver in Cantonese?"
Plenty of Hong Kong teams process ideas better in Cantonese, whatever their email language. Mixed delivery - English materials, Cantonese explanation - is normal here and worth asking for explicitly.
What I'd tell a friend to do
Shortlist two or three providers - if you're still mapping who's out there, the provider-landscape guide covers the five types available in Hong Kong. Ask all five questions. Then ask each one for a reference client you can actually call - not a logo wall, a phone call. Providers who train for behavior change have clients who'll take that call, because the relationship didn't end at the invoice.
For the record, my own answers: we build from your team's workflows, measure after use, deliver bilingually, and the trainer in the room has done this for 10,000+ professionals across 70+ organizations in 13 countries. But you should still call a reference.
