Project Objectives and Context
This is an English translation of the published reading. Imagine an organization entering a growth phase, with processes still fragmented and reliant on manual work, lacking coordination among tools, teams, and documentation. Some departments have experimented with AI, but there is no unified orchestration strategy.
You need to select a specific business process, propose an AI orchestration solution, explain how the system coordinates actions and decisions with tools, addresses pain points, improves outcomes, or creates new capabilities, and identify which systems require data exchange.
Production requirements
Select at least one process for improvement and define the objective as automating repetitive tasks, enhancing human judgment, or adding new business capabilities.
Draw the current process and coordination gaps, then propose an improved version. Explain how related applications need to communicate, using API or other interoperability methods; no technical implementation is required.
Can be created using familiar presentation tools and exported as PDF for viewing. The original materials are recommended to have at least nine pages, but in practice only eight sections are listed, with the sixth being optional. This inconsistency is retained as a note, and no ninth item is invented; instead, users may supplement with additional evidence or implementation plans according to their own approach.
Solution structure
"some" | What should be explained? |
|---|---|
Executive Summary | Organizations and processes, core challenges, and priorities for automation, enhancement, or new capabilities |
Business process analysis | Current status, pain points, inefficiencies, coordination gaps, and unmet outcomes |
Current flowchart | Existing steps, friction, repetition, and unconnected tools |
AI Editing Flowchart | Suggested version, highlighting how AI supports coordination, decision-making, and dynamic response |
Arrangement logic and integration | How do systems collaborate, where do they exchange data, and what role do APIs play? |
Optional Intelligent Layer | Indicate when applicable how memory, semantic retrieval, RAG, or Agent enhance capabilities |
Business Outcomes and KPIs | Specific results, measurement methods, and correspondence to indicators for efficiency, cost, or satisfaction |
Operations Impact and Change Management | Who needs to adapt, how do training, support, and governance change, and what are the impacts on employees and customers? |
The key is coherence across sections: the issues presented in the flowchart should be addressed in the proposal, indicators must be able to verify the corresponding outcomes, and change management should specify who is responsible for adoption and maintenance.
The original task does not use novelty as a substitute for business justification quality. Verify adherence to the task, ensure no critical details are omitted, assess whether the problems and solutions mutually support each other, and confirm the feasibility with additional evidence. Personal submission, deadline, and scoring information are not included in public knowledge content.
Related Reading
Use "first" Workflow mapping Explain the task, decisions, and information flow, then use " Trustworthy AI Framework Check permissions, supervision, and accountability.
Reference and Extended Reading
The following is an editorial addition.
- n8n workflow : English, view the steps, connections, and specific structure for setup and execution.
- MCP Architecture : English, determine which connections belong to protocol capabilities and which are still managed by the application.
- NIST AI Risk Management Framework : English, to assist in incorporating responsibility, evaluation, and risk into the plan.