01
Name one slice
Pick one or two frequent jobs you can standardize and check. Inquiry replies, meeting notes, support FAQs, and missing quote fields beat a company-wide tool launch.
ENTERPRISE AI ROLLOUT
Enterprise AI rollout
The result is not another course or another license. It is AI that stays inside the work.
We help smaller manufacturers, exporters, and retailers through five stages: pick a slice you can check, make the role able to use it, and only then talk about a system.
HOW ROLLOUT WORKS
How an enterprise AI rollout actually happens
Each step has to be checkable. If you cannot check it, do not scale it.
02
Pilot on real material
Run a round on your own work, with sensitive data removed. Watch the first reply, the rework, and whether the wording stays stable.
03
Make the role able to use it
Training answers whether people can use it and dare to send a draft. They leave with templates, samples, and a checklist. The next person can follow the same path.
04
Leave it in the process
Write down who drafts, who confirms, and what the model must not send. Price, lead time, certification, and stock stay with a person.
05
Then talk about a system
When the templates and confirmation points already run, and connections or the knowledge base still fail, move to consulting and the lab. A build does not replace a rollout the team has not practiced.
WHAT COUNTS
What counts as rolled out
The role actually uses it
Not a folder of saved prompts. The job uses the same draft every week.
There is a baseline
Write down time, rework, first reply, or errors before the pilot. Afterward you can say what changed.
It survives a handover
The template, the ban list, and the person who confirms live in the process, not in one expert’s memory.
A person still sends the promise
The model may draft. Price, dates, and certifications go out only after a person has read them.
WHERE WE HELP
Which door to open
Training
Start here when the team cannot use it, will not send a draft, or slides back after two weeks.
Solution packs
You already know the slice in manufacturing, export, or office work and need a path you can copy.
Consulting
You are not sure it is worth doing, or pilots keep stopping. Set the boundary and the check together.
Cases
Find the closest scene. Copy only the slice, the metric, and the gate.
AI lab
After people can use it and the process can be checked, look at knowledge, permission, and limited automation.
This is not an enterprise AI rollout
- Licenses nobody opens
- One demo and no baseline
- A fully automatic support agent on day one
- The model promising price, lead time, or certification to a customer
Read this before you start
Browse insightsPilot, training, and pack methods. Then choose the stage to enter.
Industry notes
工具会用了还卡：何时该上企业AI培训
账号开了、工具也会点，但产出不稳定、不敢外发、两周后没人用——这是该上企业AI培训的信号，而不是再买一个工具。
Industry notes
Why company AI training has to use the real tools
Demo accounts and fake cases do not match the ChatGPT, Copilot, or Feishu people use on Monday. Train on the real stack and sanitized work.
Industry notes
四周AI试点怎么设计：指标与抽检
企业AI四周试点的设计方法：选一条线、定可核对指标、影子模式与周抽检，决定扩面、停或改。
Industry notes
中小企业AI红线十条
中小企业上AI的十条红线：数据、承诺、自动化、验收与责任边界，避免速度换来更大业务风险。
How-to
企业AI咨询：场景诊断怎么做
企业AI咨询的场景诊断步骤：盘点高频任务、评估可标准化与风险、选定第一条试点线并写清验收。
Industry notes
咨询与培训怎么搭配更省钱
企业上AI时如何搭配咨询与培训：培训建能力，咨询定场景与闸口，避免只训不用或只方案不落地。
常见问题
Questions about enterprise AI rollout
Separate rollout, training, and buying tools before you pick the next page.
01
How is rollout different from buying tools?
A tool is only access. Rollout means one role’s work has changed: a template, a person who confirms, and a result you can check. Without those three, a large tool library is still a trial.
02
Why not automate everything first?
Most smaller companies are stuck on unstable wording and people who cannot use the draft, not on the lack of an agent. Run the low-risk draft first. High-risk promises stay with a person.
03
Training, a pack, or a consult?
If the team cannot use it, train. If the slice is clear but the path is not, open a pack. If you do not know whether it is worth doing, or pilots keep dying, book a consult. A system comes after those three hold.
04
How soon can we tell it landed?
One slice can be compared with its baseline in a few weeks. Look at whether the role still uses the old way, and whether errors and rework are being caught.
Turn the job that eats the most time into one slice you can check.
Bring the industry, the team size, and the step that is stuck. We decide whether that means training, a pack, or a consult.