Fate.
繁中

01 / AI PRACTICE

What AI helps us do.

Eight cases explain how we use AI in departmental management, customer support, research, financial modelling, and other work.

Departmental work overview
CASE 01

Automate departmental work management.

AI connects a shared work baseline, new evidence, progress review, and clarification to support departmental coordination.

Partner knowledge record
CASE 02

Keep partner knowledge ready for the next task.

AI turns conversations and materials into an evolving record that supports follow-up, decisions, and communication.

Product research comparison
CASE 03

Use AI for product research and comparison.

A research question becomes evidence collection, product walkthroughs, comparable assessment, and a reviewable report.

AI transformation presentation
CASE 04

Produce external material from shared facts and standards.

Connect accumulated knowledge, audience requirements, terminology, and review to produce consistent material in different formats.

Public feedback report
CASE 05

Use AI to organize reviews, coverage, and impersonation reports.

AI-assisted collection, classification, deduplication, and evidence records turn scattered feedback into a reviewable report.

Financial scenario summary
CASE 06

Use AI to build and revise financial models.

Connect authoritative inputs, explicit assumptions, calculation, reconciliation, and human review rather than generating an isolated forecast.

Customer support report
CASE 07

From manual customer support to automation.

AI supports replies. Structured case records can also help improve future support and products.

Work instruction
CASE 08

Write clear instructions and let AI do the work.

Define the goal, materials, steps, and checks so AI can execute the task and others can take it over.

What it knows

Product facts, partner research, feedback, and work standards give AI context for specific tasks.

For conversations about crypto products, AI transformation, and better ways of working.

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