Workshops, courses, and role-based playbooks that stick.
We teach how to think with AI — not just how to use it. From lunch-and-learns to multi-month academies, across the tools your team already runs.
For L&D, HR, IT, operations, and functional leaders rolling out AI capability across teams, plus senior leaders in private and public-sector organizations managing org-wide AI programs.
Training format and pricing scoped to your team's roles and workflows. Set at discovery; per-seat catalog rates available.
Training programs designed around the workflows your team actually uses, not the demos vendors run. Curriculum built to a structured instructional design model; outcomes measured against actual behaviour change, not completion rates. Delivered in English, Mandarin, or both.
How we sequence training
Most corporate AI training teaches people how to use a tool. We teach people how to think with one — and how far that goes depends on the role. Four levels:
Level 01
AI as an Intern
Direct, review, correct. AI handles the task; the human owns the output. The right level for high-stakes or judgment-heavy work.
Level 02
AI as a Coworker
Work in parallel. AI drafts, suggests, and flags; the human decides. Most corporate training stops here.
Level 03
AI as a Teacher
AI surfaces relevant information and blind spots in real time. The team member learns while working. Compresses the experience curve.
Level 04
AI as a Coach
AI challenges assumptions and pushes back on weak reasoning. The team uses AI as a critical thinking partner. Compounds human capital instead of substituting for it.
Most programs deliver the first two levels and call it done. We design for all four — because the capability shift that justifies the investment happens at three and four.9
Formats · twelve
Lunch-and-learn
60–90 min · awareness intro
Half-day workshop
Single-topic team intro
Full-day workshop
One workflow end-to-end
Two-day executive program
Cowork for Leaders · AI Agents Office
Five-day intensive
Full integration track for tech leads
Manager enablement session
Half-day to full-day · coach + oversee
Team program
4–8 weeks · weekly sessions, real workflow questions
Certification track
8–12 weeks · work-sample progression
Organizational AI academy
Multi-month, multi-role · org owns the curriculum
Train-the-trainer
Internal facilitators delivering FW curriculum
License and run
FW designs · your L&D delivers · IP retained
Per-seat open enrolment
Catalog courses for individuals + small groups
Delivered across the tools your organization uses, not built around a single vendor's platform.
Pricing per engagement, scoped on a discovery call.
Tools we teach
Tools serve workflows, not the other way around. We work on the stack your team already runs:
Not on the list? If your team is using it, we can train on it.
Catalog
Courses organized by role and workflow, not by platform. Each course is available across Claude, ChatGPT, Microsoft Copilot, and Gemini.
Leadership and executive teams
AI for Executive Decision-Making · AI for Strategic Communication · AI Governance for Senior Leaders
Finance and accounting
AI for Financial Analysis · AI for Reporting and Documentation · AI for Forecasting and Modelling
HR and people operations
AI for Talent Acquisition · AI for Employee Communications · AI for L&D Program Design
Marketing and communications
AI for Content and Copywriting · AI for Campaign Planning · AI for Brand and Editorial Governance
Legal and compliance
AI for Contract Review and Drafting · AI for Regulatory Research · AI for Compliance Documentation
Operations and supply chain
AI for Process Mapping · AI for Reporting and Workflow Automation · AI for Vendor and Procurement Communication
Sales and business development
AI for Proposal and Pitch Writing · AI for Account Research · AI for CRM and Pipeline Management
IT and technical teams
AI for Technical Documentation · AI for Code Review and Development · AI for Systems and Workflow Integration
Project management
AI for Project Planning · AI for Stakeholder Communication · AI for Risk and Issue Tracking
Available for open enrolment or custom team delivery. Custom curriculum design available for organization-specific tools, workflows, or governance contexts.
How we build training
Built on real work.
Training programs are built on the team's actual work. Sample emails, decks, SOPs, call recordings, and live workflow scenarios become the before/after examples. Generic AI demonstrations don't transfer; participants' own materials do. Each session converts existing artifacts into reusable templates the team keeps.
Programs ship with manager and team toolkits (checklists, prompt libraries, decision templates, job aids) plus follow-up coaching at weeks two, four, and eight to track tool usage, output quality, and revision-loop reduction. The training doesn't end at the room.
Why the check-ins matter
Most training peaks in the room and fades within weeks. The check-ins at weeks two, four, and eight are what turn a workshop into capability the team still has at week twelve.
How we measure whether it worked
Completion rates tell you who showed up. We measure what changed.
After every engagement we track four things: whether participants found the training relevant to their actual work, whether knowledge transferred into practice, whether behaviour changed in the workflows we trained on, and whether that change is producing measurable output. Specific metrics: time-to-first-draft, revision-loop reduction, first-pass approval rates, and onboarding speed for new AI users.
Check-ins at weeks two, four, and eight give us the data while there's still time to act on it. If adoption is stalling at week two, we know before the window closes. We go back in. The calibration pass is built into every engagement, not offered as an add-on.
The curriculum, format sequencing, and measurement model are anchored to recognized frameworks: ADDIE for design, Kirkpatrick for evaluation, 70-20-10 for capability formation, Bloom's for cognitive depth, plus the Anthropic 4D AI Fluency model and Nielsen's Four Metaphors for working with AI.
Full reference: Learning & Capability frameworks (6 entries, primary sources cited).
Common questions
Do we need to complete a diagnostic first?
No. Training engagements are available as standalone. That said, teams that enter training after a Workflow Map tend to get more from it. The diagnostic tells us exactly which workflows and roles to build the curriculum around.
Can we pilot one workshop before committing to a full program?
Yes. A half-day or full-day workshop can run as a standalone pilot. Most organizations use a pilot to test fit before scoping a larger team program or curriculum build.
We already did AI training with another vendor — can you build on what we have?
Yes. We assess what was covered, what stuck, and what didn't, and design from that baseline rather than starting from scratch. Existing materials can be incorporated or rebuilt where they are not working.
What's the minimum group size?
No hard minimum. Per-seat open enrolment is available for individuals and small groups. Custom team delivery is typically scoped for teams of six or more.
How is custom curriculum priced?
Scoped on a discovery call. Pricing depends on format, duration, number of roles covered, and whether the organization wants to retain the curriculum after delivery.
What happens if the tool changes mid-program?
Because our curriculum is organized by role and workflow rather than by platform, tool updates affect the delivery layer, not the curriculum itself. We update the tool-specific content as needed without rebuilding the course.
Can training be delivered on-site in Taiwan?
Yes. In-person delivery is available across Taiwan. Regional delivery across APAC is available for programs of sufficient scope, covered on the discovery call.
Can we run training in Mandarin?
Yes. All programs are available in English, Mandarin, or both. Bilingual delivery is handled by the same team, not a separate vendor.
Do you work with government procurement frameworks?
Yes. We have experience scoping and delivering training for public sector organizations in Taiwan. Government procurement requirements (including documentation, invoicing structure, and approval processes) can be accommodated on a discovery call.
9Nielsen, 4 Metaphors for Working with AI: Intern, Coworker, Teacher, Coach (UX Tigers).