AI Dialogue Platform “Four Knights” Retrospective: Story, Pain Points, and a Reusable Template
A real multi-role dialogue among operations, customer service, engineering, and legal teams reveals three common failure patterns in AI dialogue deployment. Provides a reusable collaboration + review template.
Real Scenario
Five teams at Dongfeng Tech adopted the “Four Knights” AI dialogue platform simultaneously.
Customer service treated the model as a black box, legal worried about compliance, and engineering only wanted to experiment.
As a result, only 20% of use cases landed successfully.
Later, they jointly created a “Script + Acceptance + Audit” triad, turning dialogues into reusable assets.
Pain Point 1: Misaligned Role Understanding → Acceptance Cannot Land
Recommendation: Define a clear matrix for
Who writes prompts → Who validates → Who provides data feedback.
Pain Point 2: Missing Dialogue Quality Indicators
Recommendation: Evaluate using three metrics:
Accuracy / Ambiguity Rate / Compliance Items,
and use a weekly review board.
Pain Point 3: Lack of Deployment Review
Recommendation: Build a delivery review template (Input → Output → Issues → Improvements)
and run it immediately after each launch.
Template Outputs
- Four-step workflow: Prompt → Acceptance → Validation → Review
- Weekly “Prompt Guild” meeting to examine abnormal dialogues
- Output “Model Capability Cards” for cross-team reuse