D1
Diagnose
Clarify where the workflow starts, where it slows down, and which decisions still require human boundaries.
5D Workflow Reconstruction Method
Turn AI from point capability into enterprise productivity.
5D Framework
A practical operating method that turns enterprise AI from a one-off pilot into a continuously evolving workflow system.
D1
Diagnose
Clarify where the workflow starts, where it slows down, and which decisions still require human boundaries.
D2
Derive
Do not simply mirror the old path. Reorganize steps, decisions, and collaboration around what AI makes possible.
D3
Design
Define inputs, outputs, review, exception handling, and quality standards in a form that can actually run.
D4
Deploy
Connect the workflow to live business operations while preserving the right level of human confirmation and risk control.
D5
Data-loop
Feed pass rates, rework points, exception patterns, and editing behavior back into rules, strategies, and model choices.
The bottleneck in AI adoption usually sits inside the process
Individual AI productivity ≠ Enterprise AI transformation
The process itself never changed
AI is used for isolated tasks, but the original collaboration model, review mechanism, and delivery path remain untouched.
Value does not convert cleanly
Individual efficiency improves, but it does not become shorter cycle times, lower cost, better quality, or revenue growth.
Pilots do not scale
A single scenario may work, but it lacks the data loop, ownership model, and continuous optimization needed to replicate.
5D does not deliver a consulting report. It delivers a runnable, iterative intelligent productivity system.
Process Assets
Convert tacit business experience into process assets that can be described, executed, and reused.
Human-AI Division of Labor
Clarify which tasks belong to AI, which judgments remain human, and which exceptions need human fallback.
Quality Mechanism
Build review, traceability, rollback, and continuous optimization around AI output.
Data Loop
Use live business data to optimize the workflow, rules, prompts, models, and operating strategy.
Make AI part of the business process
Lingyi Engine helps enterprises start from real business scenarios, diagnose process breakpoints, design AI workflows, and continuously improve business outcomes through a live data loop.