梁文宣｜AI Deployment Consultant
臺灣在地的企業 AI 導入顧問，分享 AI、寫作與一人事業的實驗。
AI Deployment Consultant in Taiwan
AI demos are easy. Making AI part of daily work is harder.
I help global AI teams work with Taiwan, and help Taiwan companies turn AI prototypes into workflows people actually use.
6 yearsenterprise data experience
10+ talksAI talks and workshops
300+ peopletrained in practical AI use
Where I help
Two sides of the same bridge
Good AI deployment needs product knowledge and local context. I work between both.
For global AI teams entering Taiwan
You have a strong product. You need someone who understands how Taiwan companies buy, test, adopt, and govern new tools.
- Local workflow and user discovery
- Taiwan market context and partner conversations
- Pilot design with real teams and real constraints
- Adoption feedback for product and go-to-market teams
For Taiwan companies deploying AI
You have tested tools. You need one useful workflow to move from a demo into daily work.
- Workflow mapping and problem selection
- Small pilots using real business data
- Human review, metrics, and clear ownership
- Training, adoption, and internal handoff
Ways to work together
Start with one problem worth solving
The first step does not need a large AI program. It needs a clear workflow, real users, and a result we can measure.
Core service
AI workflow deployment
I work like a fractional Forward Deployed Engineer. We find one costly or repeated task, test it with real data, and build a workflow your team can own.
- Workflow and data diagnosis
- Prototype with real users
- Human checks and success metrics
- Documentation and internal handoff
Executive AI operating systems
Personal AI workflows for meetings, research, CRM, content, and daily decisions.
Workshops and enablement
Practical sessions built around the team’s real work, not a list of tools.
A simple deployment path
From idea to daily use
Find the bottleneck
Choose a repeated task with a clear cost, owner, and reason to improve.
Test with real data
Run the full workflow and learn where the tool, data, or process fails.
Make it usable
Add human review, clear output rules, and a metric the team trusts.
Hand it over
Document the workflow and decide whether to expand, improve, or stop.
Proof from Taiwan
Real work, real users, clear outcomes
I share the process, not only the final slide. These examples show how AI entered daily work, sales operations, and team learning.
Large automotive brand
Daily reports, email, and competitor tracking became a repeatable workflow
The team used to spend one to two hours each day checking sales reports and competitor information. We tested the process with 100,000 rows, fixed the analysis rules, and added human review before delivery.
About 2 hours saved per day50% faster response100,000 rows tested
View the public test
Insurance advisory company
A four-month deployment for CRM, proposals, and follow-up
The work connects meeting notes, CRM updates, proposal drafts, follow-up reminders, and daily client care.
View the collaboration record
Business Today
Turning meetings into an AI workflow
A public session for about 200 participants on turning recorded discussion into decisions and next actions.
Read the coverage
About Shiuan
I make complex AI work simple enough to use.
I am Shiuan Liang, founder of Shiuan Liang Consulting Co., Ltd. I am based in Taiwan and work as an AI Deployment Consultant.
Before starting my company, I spent six years in enterprise data roles, including Binance and Cathay Financial Holdings. Today I help teams connect AI tools with workflows, people, and measurable business results.
I also write in public about what I test. That is how I build trust: show the work, explain the limits, and keep learning in the open.
Connect with me on LinkedInTaiwan is the context. Useful work is the goal.
If your AI product or project needs a trusted local bridge, let’s talk.
Bring one problem, one workflow, or one question about Taiwan. A 30-minute first conversation is free.
