Public developments and original analysis · Announcement date: · Sources
This illustrative workflow uses an industrial product enquiry to explain implementation. It is not a measured customer deployment. Requirements, product records, stock and commercial rules sit in different places. An AI employee organizes them around one business object, people approve important conditions and the result returns to order processing or fulfilment for continued use.
Begin with one enquiry
The enquiry contains a product description, quantity and expected timing. Sales identifies the customer and opportunity. Email or attachments provide the original input, CRM retains context and the catalog supplies candidate models. Map these relationships and name the reviewer before implementation. The fields and handling described here are examples to be adapted to the actual business.
Identify missing and conflicting conditions
When the model is unclear, units disagree or delivery timing lacks a trigger, prepare clarification questions. Separate similarly named products with different specifications. Retain the customer wording and product basis. Sales or technical owners confirm the requirements before quote preparation continues; filling a plausible value should not conceal an unresolved business question.
Connect product and supply evidence
Connect authorized product records and ERP stock with versions, retrieval times and supply conditions. Existing pricing rules support preparation, while tax, transport, minimum quantities and validity are checked separately. Distinguish temporarily supplied files from continuous system access. The team can then see which steps are connected and which still need an agreed update mechanism.
Approve the customer-facing version
Deliver a requirement summary, condition comparison, quote draft and unresolved list. Owners approve product selection, prices, discounts and delivery commitments, then select the customer-facing version. Configure approvals and sending within project scope. Keep unconfirmed conditions visible; producing a draft alone does not authorize a commitment. Retain review comments with the relevant version.
Hand the confirmed result back
Pass the confirmed requirements and material to order processing or contract fulfilment, recording progress through agreed fields. For failures or repeated work, inspect the current state before retrying or handing over. The last mile connects information, AI processing, human decisions and the next business step. Any claim about financial or efficiency gains requires a real baseline and operating records.
What to bring to a workflow discussion
To discuss this workflow, bring a system list, an authorized input sample, the intended deliverable and its receiving owner. Explain the actual steps from begin with one enquiry to hand the confirmed result back. Mokyun AI connects existing systems, data and knowledge through enterprise AI agents and a digital workforce; the implementation scope follows the task and operating conditions.
Sources
- 墨客云AI：相关产品与实施资料（2026-10-14站点内容版本）
Source published: · Accessed:
Mokyun Editorial · neo@mokyun.com
