ENTERPRISE AI EMPOWER · ON-SITE
Enterprise AI empowerment: make teams capable, make systems truly land
The AI dilemma for many manufacturers is not a lack of tools but three capability gaps: decision-makers lack boundary judgment, key staff lack application skills, and systems lack data connectivity. Our AI empowerment starts from these three points.
Control centers, edge vision, and enterprise agents are all developed, delivered, and run by us.
TRAINING · TWO TIERS
One purchase covers both decision-makers and executors
The executive class aligns cognition and boundaries; the key-staff class masters tools and pilot methods. One purchase covers both decision-makers and executors.
Executive class
For: Chairman / General Manager / Plant Manager / IT Director
- Cost & benefit ledgerHow similar manufacturers actually account for AI costs and returns
- MaturityWhich tier your company is at, and what to do first
- RoadmapPhased implementation plan and budget boundaries
- Investment prioritiesWhat to do first, what to defer, what not to do
Output: your company’s "AI Implementation Priority List"
Key-staff class
For: Department leads / Process & quality / Equipment management / Enterprise IT
- Tool practiceHands-on use of mainstream AI tools in your own role
- Scenario list10 low-barrier, high-value role-level scenarios (manufacturing edition)
- Knowledge baseHow to build and run a department knowledge base + agent
- Pilot methodPick one scenario and validate it with comparison data within 30 days after class
Output: a 30-day pilot plan
The acceptance standard is not a satisfaction survey, but launching one pilot and producing comparison data within 30 days after class.
ACCOMPANIMENT · FOUR PHASES
Transformation accompaniment: every step has a verifiable deliverable
We do not promise one-shot completion, but advance phase by phase by maturity, delivering verifiable results at each step.
Maturity assessment
Three-dimensional assessment (business value / scenario maturity / sustained operation) plus a data-foundation review.
"AI Maturity Assessment Report"
Custom roadmap
Easy before hard, quick wins before deep water, with budget ranges and milestones.
"Phased Roadmap"
Quick-win pilot
Land 1-2 high-value, low-risk scenarios.
Comparison data in 30-90 days
Scale-up & foundation
Expand scenarios; introduce production-line control when the data foundation is insufficient to support long-term intelligence.
Scale-up and data foundation
Ladder: Training aligns cognition → accompaniment picks the right path → quick wins build confidence → control center lays the foundation (take only the step you need, no bundling)
QUICK WIN · LIVE IN 2-4 WEEKS
Enterprise knowledge base & agent
Use your own materials to build a working Q&A prototype in 2-4 weeks, ready to use when you return.
Use your own materials
Department policies, equipment manuals, and historical work orders as knowledge sources — build a working Q&A prototype on site with real company documents, ready to use when you return.
Private deployment
Local/private deployment keeps data in-domain; adapts to private-network environments; permissions and audit built in.
Connect to the field
The agent answers more than documents: it can link equipment status and work orders, and query, suggest, and generate reports by permission.
FAQ · ABOUT AI EMPOWERMENT
The three questions decision-makers care about most
Direct answers on training evaluation, build-vs-accompany, and how to judge a reliable provider.
How is enterprise AI training evaluated?+
The acceptance standard is "launching 1 pilot and producing comparison data within 30 days after class". Training is only the start; pilot data is the real proof of effect.
Build AI in-house, or outsource accompaniment?+
In the early stage, when methods and people are lacking, accompaniment fits — the trial-and-error cost it avoids far exceeds the service fee itself; once data and talent accumulate, build in-house gradually. A common mistake is hiring an expensive in-house team early while choosing the wrong direction.
How do you judge whether an AI training provider is reliable?+
Look at three things: ① what real projects the provider has delivered; ② whether the instructors have industrial front-line experience; ③ whether they can provide a post-class landing path. We can make this promise because we have delivered, running projects that can be verified.
Book a 90-minute maturity assessment
The priority list from the assessment is yours whether or not you sign — online or on-site.