ChatBach

Technician problem determination​

ChatBach Graphic

Agentic AI diagnostics and repair recommendations based on
Client, SLA, System, Repair history, and ticket data

The challenge

Knowledge Risk

Tribal knowledge of repairs is vulnerable to employee turnover. When experienced technicians leave, critical diagnostic expertise walks out the door

Service Levels

Each request requires manual review of troubleshooting steps and parts against policies — slowing fulfillment timelines

Resource Intensive

Decision-making depends on technician experience. Without accessible historical insights, less experienced technicians struggle with diagnoses, causing delays

The solution

AI identifies the equipment for targeted historical analysis

Chatbach ai

AI retrieves repair resolution notes of entire product history

AI extracts actions, results are validated and enriched

Chatbach ai

Actions are and ranked by frequency and occurrence

AI provides repair actions, steps, and component guides

The results

Client Experience
Turn around time -20%
Client Satisfaction +10%
System Uptime +25%
Employee Experience
Productivity +20%
Less training needed training
Retention, Satisfaction progress
Additional optimization
First Time Fix
Less KPI penalties
Savings +25%

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