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Executive AI Guide

AI for management and decision-making

Executive AI Guide

Latest Articles

Abstract illustration of the Shanghai skyline alongside everyday small-business office scenesExecutive AI Guide

AI in Shanghai's SMBs: What We Actually See on the Ground

Shanghai's AI industry posted over 637 billion yuan in 2025 and Moshu Space keeps growing — yet most local SMBs live in a different reality. Field observations on where adoption actually stands: scattered individual use, the two scenarios that work first, and the missing owner.

ChengXuYuan Team
Abstract illustration of a scale weighing real risks against exaggerated fearsExecutive AI Guide

An Executive's AI Risk Checklist: What's Real, What's Overblown

Some bosses fear everything about AI and freeze; others fear nothing and let it sprawl. Both skip the same step: sorting the real, frequent risks from the inflated ones. Five genuine risks, each with a minimal countermeasure — and three popular fears that deserve cooling.

ChengXuYuan Team
Abstract illustration contrasting a lecture-hall training with hands-on practice at a workstationExecutive AI Guide

Why Team AI Training Fails — and a Better Way to Teach

A lecturer, an afternoon of tool features, and a week later nobody is using AI. The fix is not a better lecturer. Teach one or two moves per role, hand out fill-in templates instead of theory, let seed users do the convincing, and make training a monthly mechanism.

ChengXuYuan Team
Six Questions to Ask Before Approving an AI ProjectExecutive AI Guide

Six Questions to Ask Before Approving an AI Project

No technology selection — just decision-making: from defining the goal to acceptance criteria and exit cost, six questions that align expectations before you commit.

ChengXuYuan Team
Abstract illustration of a three-step staircase representing rising tiers of AI investmentExecutive AI Guide

Planning an SMB AI Budget: Three Tiers, Realistic Expectations

The commonest way an AI budget dies is paying for one tier while expecting the results of the next. A three-tier model for SMB AI spending — lightweight, scenario, system — with what each tier buys, what to expect, what not to, and the signals for moving up.

ChengXuYuan Team
Abstract illustration contrasting a polished demo stage with messy production realityExecutive AI Guide

Choosing an AI Vendor: Telling a Great Demo from Real Delivery

The demo went perfectly; three months after go-live, nobody uses the system. The gap is structural: demos show the ceiling, you are buying the floor. Five on-the-spot tests, the right way to run a POC, the full cost picture, and the red flags worth walking away from.

ChengXuYuan Team
Abstract illustration of an AI agent passing through permission and human-approval gates from reading to external sendingExecutive AI Guide

How Much Should an AI Agent Be Allowed to Do?

AI agent authority should not be one allow-or-deny switch. This guide separates read, generate, modify, execute and external-send actions, then defines automatic release, approval evidence, human takeover and acceptance tests for each gate.

ChengXuYuan Team
Abstract illustration of an executive working hands-on with AI along a four-week calendarExecutive AI Guide

Use It Yourself First: An Executive's First Month with AI

Judging vendor proposals, answering your team's doubts, deciding what to invest — all of it rests on first-hand feel for AI, and feel cannot be delegated. A week-by-week path through your first month, from handing over information work to preparing a real decision.

ChengXuYuan Team

Why read this section?

  • Practice-oriented, focused on actionable methods
  • On-the-spot application, templates directly reusable
  • Continuously updated, new content weekly
  • Comprehensive coverage, from cognition to implementation

Learning Path Recommendations

01

Getting Started

Understand AI capabilities and applicable scenarios

02

Scene Learning

Deepen by role and business scenario

03

Tools Mastery

Selection, Configuration, and Best Practices

04

Practice implementation

Small steps, review and iterate

View Learning Path Diagram

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