Design & Operation Framework for High-Accuracy AI Agent Integration

Purpose
This workflow defines a structured approach to introducing an AI agent into business operations, clarifying its role, preparing the required data environment, and establishing continuous evaluation and improvement mechanisms.
It ensures that the AI agent delivers reliable, high-accuracy outputs while remaining aligned with real business needs.
Scope
The workflow covers:
Decomposition of existing business tasks and scenarios suitable for AI handling
Data preparation and governance to support accurate AI reasoning
Continuous evaluation and feedback loops for quality improvement
Collaboration structures between business and IT teams to enable sustainable operation
Outcome
By following this workflow, organizations can:
Clearly define what the AI agent should and should not do
Improve AI accuracy through better data and feedback cycles
Reduce misalignment between business expectations and AI behavior
Establish a repeatable, scalable model for AI agent deployment