Enterprise AI Onboarding / Training
Get your team actually using AI in 4–8 weeks
AI tool adoption consulting and in-house training for SMEs, teams, and startups — tool selection, application design, team onboarding. Helps your team really use AI and see efficiency gains.
Interested in Enterprise AI Onboarding / Training?
Drop your situation below. I'll reply within one business day with initial thoughts. Free, no hard sell.
- Leadership wants AI adoption but the team doesn't know where to start
- Already paying for ChatGPT / Claude but 80% of staff don't use it
- Want department-specific AI workflows (sales, marketing, CS, HR, engineering)
- Need AI tool usage standards for new hires
- Leadership wants to assess AI adoption ROI and risk
- 01/ One on-site or virtual training session (half-day or full-day, splittable)
- 02/ Custom training materials and prompt template pack (long-term reusable)
- 03/ Per-department application playbook
- 04/ 30 days of post-training Slack / LINE group consulting
- 05/ Adoption roadmap recommendation
- Beyond tool usage — I teach adoption strategy AND risk control (what most lecturers miss)
- Content customized to your industry and pain points — not a generic deck
- 30-day post-course consulting ensures the team really uses what they learned
- Consulting background → fluent in business, product, and engineering vocabularies; works for cross-functional sessions
ChatGPT, Claude, Gemini, Perplexity, Notion AI, Cursor / Copilot, n8n / Make + AI integration
NT$15,000–60,000+
30-min discovery call → custom curriculum design → training execution → 30-day consulting
5 modules (pick all or customize)
Module 1 · AI tool map — ChatGPT, Claude, Gemini, Perplexity, Notion AI, Copilot: differences, applicable scenarios, selection logic. Your team stops asking “which one should I use”.
Module 2 · Prompt engineering in practice — build prompt templates customized to your industry and roles, producing a reusable AI SOP. Every attendee leaves with prompts they can use tomorrow.
Module 3 · Per-department workshop (most popular)
- Sales — customer-background research, pitch drafts, follow-up emails, competitor analysis
- Marketing — SEO articles, social posts, ad creative, keyword research
- HR — JD writing, interview question design, employee handbook, onboarding flows
- Customer Service — FAQ automation, complaint reply drafts, sentiment analysis
- Engineering — Cursor / Copilot assistance, code review, documentation generation
Module 4 · Advanced automation — n8n / Make + AI integration. From “manual prompt” to “auto-triggered workflow”. One end-to-end use case shipped during the workshop.
Module 5 · Risk and compliance — data leakage, enterprise-API vs consumer-subscription differences, employee usage policy, IP ownership. Most trainers skip this; it’s the layer that decides whether you can scale AI usage safely.
Why the price range spans 4× (NT$15K → 60K+)
- NT$15,000 — half-day / virtual / materials. Good for 5-15 person teams testing the waters.
- NT$30,000 — full-day / in-person / materials + 30-day consulting. For 20-50 person companies with cross-department needs.
- NT$60,000+ — full adoption project (interviews + training + flow design + on-the-ground rollout). For 50+ headcount or companies turning AI into a long-term SOP.
The difference isn’t “training hours” — it’s “depth of adoption”.
Not “ChatGPT 101”
90% of market AI training is tool tutorials — you finish and still don’t know how to apply it in your company. The core of this course is adoption strategy: what should be automated, what shouldn’t, ROI math, and how to handle employee pushback. These come from my own enterprise adoption work and cross-department teaching — they’re not theoretical slides.
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