Practical methods and implementation experience for WorkBuddy deployment, AI agents, and business-process automation. 11 articles, each identifying its author, sources and public measurement basis.
Delegate repetitive work such as daily reports, industry briefings, and lead summaries to AI scheduled tasks. Learn four setup steps, why test runs matter before long-term execution, six common use cases, and the limitations to consider.
Read full article →On October 16th, we co-hosted the WorkBuddy AI Workplace Efficiency event with the Luohu District Public Employment Promotion Center. From policy interpretation to workflow practice, participants used WorkBuddy to complete a content creation workflow and generate real business materials.
Read full article →About 95% of enterprise generative AI pilots produce no measurable P&L impact. From picking the wrong use case to refusing to cut losses, ten failure modes dissected one by one — each with a countermeasure and a self-check.
Read full article →In manufacturing, the first AI move is not picking a model — it is the concrete daily tasks that drain manpower: payroll calculations, cross-system order lookups, trade email. A checklist of delivered scenarios, a six-criteria scoring sheet, and a four-step rollout plan.
Read full article →After WorkBuddy is deployed, many employees struggle to use it effectively, with common obstacles involving use cases, permissions, and task assignment. This article presents five steps for rolling out WorkBuddy in small and medium-sized enterprises, along with task-assignment templates that can be used immediately.
Read full article →People searching for "What is WorkBuddy?" want a definition they can quote directly, not marketing copy. This article covers its definition, capability stack, connection scope, and boundaries, with the scope stated for every third-party data point.
Read full article →A common selection mistake is treating an IM platform that WorkBuddy can connect to as the product it belongs to. This article clarifies the concepts, gives four selection questions, and provides a capability-focus comparison table.
Read full article →Most introductions explain what WorkBuddy can do, but few say what it cannot do—even though the latter determines whether you will run into problems. This checklist covers six task types it handles well, three it should not own, and one quick decision rule.
Read full article →The most common way enterprise AI adoption fails is starting with company-wide training and a full rollout. This article offers a steadier four-step method, a task-selection scorecard, and the three most common pilot-stage pitfalls.
Read full article →Across more than 20 enterprise AI projects we have delivered, the most common failure pattern is almost identical: a tool is purchased, training is completed, and three months later no one uses it. The problem is not the tool; it is choosing the wrong entry point from the start.
Read full article →The enterprise AI training market is inconsistent: some one-day conferences cost tens of thousands of yuan, while others simply read through a product manual. This guide gives four criteria you can verify on the spot, a tiered sample curriculum, and three pitfalls to avoid.
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