AI opportunity diagnosis
Map repetitive work, information risk, decision ownership and the smallest valuable pilot.
DELIVERY SCOPE
Observable deliverables, review points and handover
Final scope, schedule, rights and acceptance criteria are confirmed through a real brief, proposal and contract.
Knowledge governance
Sources, versions, permissions, update owners, retrieval structure and sensitive-data boundaries.
Workflow or agent pilot
Inputs, tools, approvals, exception handling, logs and manual fallback for one real process.
Evaluation and rollout
Test questions, quality thresholds, error review, adoption evidence and an expansion decision.
BUYER CHECKLIST
What to verify before appointing a supplier
Business task first
Choose a measurable task rather than starting with a model or software product.
Knowledge owner
Assign people who can approve facts, access and updates.
Human control
Define where review is mandatory and how exceptions return to a person.
Evaluation
Create realistic tests and compare time, accuracy, risk and adoption before scaling.
COMMON QUESTIONS
Practical answers before procurement
Does an enterprise need a large data project before using AI?
Not always. A narrow pilot can begin with a governed set of high-value documents and a realistic evaluation set.
Can one agent automate an entire department?
That is rarely a safe starting point. A bounded workflow with clear permissions and human review is easier to verify.
How are sensitive files handled?
Access, storage, model use, retention and logging boundaries must be agreed before ingestion.
Bring one real business need
Contact Qiu Yang at +86 176 1128 6976 by phone or WeChat. WeChat Official Account and Video Account: 麦一联盟.