AI Training & Enablement
Cohort-based enablement that ships real work, not certificates.
Move from <15% AI tool adoption to 60%+ in twelve weeks. We deliver live cohorts in seven Asian languages, capstones built on your data, and a Champions program that becomes your in-house enablement layer.
The problem we solve
Your team has watched the videos and is still afraid to touch a model in production.
You bought ChatGPT Enterprise licences for 400 people. Eight weeks later, daily active users sit below 12%. Your engineers experimented with two open-source frameworks and abandoned both. Your sales team uses a copilot for email drafting and nothing else. Tooling without skill is shelfware.
The Boston Consulting Group surveyed 13,000 employees across 15 countries in 2024 and found that 39% of workers feel their employer has not given them the AI training they need to use new tools well.[^1] In Asia the gap is wider — only 27% of mid-market employees report feeling confident with AI tools at work.[^2]
We rebuild that confidence in 6-16 weeks, role by role, with hands-on cohorts that ship real work, not certificates.
Who this is for
- The CHRO of a 700-person bank in Japan whose Copilot rollout has stalled because middle management does not know what to do with it.
- The Head of Engineering at a Vietnamese SaaS company whose senior developers need to ship production AI features, not watch tutorials.
- The COO of a Hong Kong logistics firm who needs operations supervisors to run the new automation tools confidently before the consultants leave.
Outcomes
McKinsey's 2024 research found that companies investing >5% of digital budgets on AI training see 2.1x the EBIT impact of companies investing <1%.[^3] The training itself is not the outcome — the change in daily behaviour is.
Active usage moves from <15% to 60%+. Across the last 14 enablement programs we ran in Asia, weekly active users of approved AI tools rose from a 13% baseline to a 64% median by week 12. Three programs hit 80%+ in regulated industries where management was visibly using the tools alongside the team.
Confidence is measurable. Pre-training, 27% of learners self-report comfort using AI in their daily work. Post-training, that number sits at 78-85% across cohorts. Confidence drives retention of new habits — by month six, 71% of learners are still using the tools weekly.
Shipped work, not certificates. A 600-person manufacturer in Penang put 18 supervisors through a 6-week ops cohort. They shipped 12 production workflows during capstone week. Four of those workflows produced US$340,000 in annualised labour-cost savings within six months.
Engagement formats
| Tier | Duration | US$ price band | Best for |
|---|---|---|---|
| Starter — Executive AI Intensive | 2 days | US$12,000 - US$22,000 | Up to 30 executives. Half-day workshop plus one-day strategy lab. Ideal as a kickoff before broader rollout. |
| Scale — Workforce Enablement Program | 8-12 weeks | US$45,000 - US$120,000 | 100-400 learners across 4-7 job families. Full delivery: assessment, cohorts, capstones, manager workshops. |
| Strategic — Multi-Year Capability Build | 12-18 months | US$160,000 - US$320,000 | Enterprise-wide. Includes Champions program, train-the-trainer, custom LMS, quarterly refreshes for two years. |
All tiers include the post-program adoption dashboard and one quarterly check-in for 12 months.
Our approach
Five steps from a baseline assessment to durable in-house capability.
1. Skills baseline (week 1)
Every learner takes a 25-minute diagnostic that scores them across four dimensions: prompt craft, model evaluation, workflow design, and risk awareness. Results inform cohort assignment. Nobody is bored, nobody is drowning.
2. Role-mapped curriculum design (week 1-2)
We map your seven to twelve job families to a curriculum tier. Executives get half-day intensives. Knowledge workers get three-week part-time cohorts. Engineers get full-time bootcamps with code review. Product managers get a four-week PM-for-AI track adapted from the Reforge curriculum.
3. Cohort delivery (week 2-12)
Cohorts run live with a senior practitioner instructor — not a video library. Each session ends with a graded assignment based on real artefacts from your company. A finance analyst builds a working forecast pipeline. A customer-service lead ships a draft policy update. We coach in your Slack or Teams channel between sessions.
4. Capstone shipping week (last week of each cohort)
Every cohort ends with a shipped artefact reviewed by a senior leader. No demo-ware. The assignment must be deployed, used by a real team, and measured for one week before graduation.
5. Champions program and handover (months 3-6)
We identify 8-15 "AI champions" from across the cohorts. They get a six-month coaching track, a private community, and a quarterly skills refresh. They become your in-house enablement layer when AIMenta steps back.
What you get
- Skills baseline diagnostic for up to 1,000 employees
- Role-mapped curriculum across 7-12 job families
- Live cohort delivery with senior practitioner instructors
- Capstone projects shipped to production
- Manager enablement workshops
- AI Champions program (6-month coaching, 8-15 leads)
- LMS setup or integration with your existing platform
- Adoption dashboard with weekly active users by team
Where this service shows up
Industries and APAC markets where AIMenta delivers this pillar most often.
Beyond this pillar
Cross-reference our practice depth across the other pillars, all 10 industries, and 9 Asian markets.
Other service pillars
By industry
By Asian market
Proof in market
Common questions
What is the typical cohort size for your enterprise training programs?
Executive cohorts are 12–18 leaders to keep peer discussion sharp. Engineer cohorts run 20–30 with a 1:8 instructor-to-learner ratio in lab sessions. Custom enterprise cohorts can scale to 60+ with breakouts; beyond that we recommend a train-the-trainer model.
Can you train executives, managers, and engineers together?
We use a layered design. Executives and engineers attend a shared opening day on shared vocabulary, then split into role-specific tracks for the depth work, then reconverge on a portfolio review. Mixing the layers in lab sessions usually slows everyone down.
How do you measure whether training actually changed behavior?
Three measures, in order of weight: (1) shipped artifacts during the program — a workflow live in production, a governance memo adopted, a hire offer signed; (2) 90-day post-program survey on retained practice; (3) Kirkpatrick Level 2 quiz. We publish the cohort metrics back to your sponsor.
Do you offer training in languages other than English?
Yes. Live delivery is currently available in English, Mandarin, Cantonese, Japanese, and Korean. Materials are localized for each cohort. Bahasa Malaysia and Vietnamese are on the roadmap for 2026 H2 — until then we deliver those markets in English with bilingual TAs.
Ready to mentor your AI?
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