Workflow and users
Name who uses the system, the decision or task it supports, exceptions, and accountable owners.
AI development terminology
What does “AI dingkai” mean?
“AI dingkai” (AI 定开 or AI定开) is an informal Chinese abbreviation for AI 定制开发—custom AI development built around an organisation’s own workflow, data, permissions, and system interfaces. It describes a delivery scope, not a model, product category, or assurance standard.
By Onyx Devs Lab · Published · Updated
Chinese shorthandAI 定开 = AI 定制开发
Organisation-specificWorkflow, data, authority, and integration
Production evidenceEvaluation, control, operation, and handover
What the term includes
A credible custom build changes a defined operating workflow rather than merely wrapping a general chat interface.
Data and integration
Connect the permitted documents, databases, ERP or CRM interfaces, identity, and systems of record.
Authority and evidence
Separate read, recommend, draft, approve, and execute rights; preserve sources, logs, evaluation results, and human intervention.
What AI dingkai is not
The shorthand is often used loosely, so buyers should identify the actual commercial and technical boundary.
Not off-the-shelf SaaS
Configuring a general product may solve the need, but it is not automatically a bespoke system owned around the buyer’s workflow.
Not a demo alone
A prompt, prototype, or model call does not establish production permissions, reliability, monitoring, recovery, or handover.
Not necessarily FDE
A defined build can follow a stable scope; FDE is better when the correct intervention must still be learned from field evidence.
Delivery method
Define one operating outcome
State the current workflow, baseline, affected users, and consequence of failure.
Expose the production boundary
List data, integrations, authority tiers, evaluation cases, monitoring, support, and exclusions.
Validate the riskiest assumptions
Test data access, output quality, tool safety, latency, cost, and operator adoption before expanding scope.
Accept and hand over
Use measurable criteria, document residual risks, transfer operating knowledge, and retain an exit path.
Frequently asked questions
Is AI dingkai an official technical term?
No. It is an informal market abbreviation for AI 定制开发. A proposal should still define the exact workflow, system boundary, deliverables, and acceptance evidence.
How is it different from AI consulting?
Consulting resolves what should be built and why. Custom development implements a sufficiently defined system; the two can be separate phases or one connected engagement.
What should a Hong Kong enterprise verify in a provider?
Verify relevant delivery evidence, named senior ownership, data and permission controls, evaluation methods, integration realism, operating support, handover, and exit conditions.
Start with one concrete operating problem.
We will first clarify the workflow, evidence, data boundary, and outcome standard before recommending the next step.
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