[AX Pro] ④ Operational Evolution: Managing AI with Data, Not Guesswork
- TecAce Software
- Feb 3
- 2 min read
AI Management Powered by Metrics
In the past, checking if a chatbot was doing its job meant digging through endless chat logs. Since adopting AX Pro, my morning routine has changed. I now start by checking the ‘Performance Timeline’ to see how our AI performed overnight at a glance.
Precision with Module Control: On the right side of the dashboard, there are ‘On/Off’ switches for modules like Relevance, Tone, and Accuracy. Being able to control whether we are maintaining the corporate tone and accuracy in real-time gives me immense peace of mind.
The Security of PI Filters: Seeing the Personal Information (PI) protection module active is especially crucial in enterprise environments. It allows me to operate AI services confidently without worrying about security leaks.
89% Success Rate, and the Value Beyond the Numbers
Our Samsung CES 2026 Docent currently holds an Overall Performance score of 89%. There is a world of difference between saying "It's working well" and reporting that "It successfully handled 77 conversations with 89% accuracy."
Real-time Resource Optimization: We can identify spikes in conversation volume to adjust resources or analyze frequently asked questions to update our knowledge base instantly.
Scalable Architecture: Today it’s the Samsung CES group, but tomorrow I can create new groups for ‘Product Launches’ or ‘Customer Support,’ scaling agents infinitely.
Operational Innovation Grants 'Freedom'
Because data is visualized and controllable in real-time, I have ironically gained the freedom to step back from micro-management and focus on the bigger picture. AX Pro is more than just a tool; it serves as an ‘Operational Hub’ that boosts the entire team's productivity.
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