Bach-AI

Depot repair processing

Bach-AI Graphic

Added automation to a self-service platform that clients
use for parts and repair requests

The challenge

Complex Rules

Validation rules vary by company, geography, entitlement type, and service model requiring deep domain expertise

Time Consuming

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

Resource Intensive

Requires a skilled validation team with coverage across time zones and service types demands significant staffing and training investment

The solution

AI triage of parts, onsite, depot, and carry-in service requests

AI verifies troubleshooting steps and requested replacement parts

AI validates each request against dispatch policies and procedures

Agentic AI approves or denies based on policy compliance

AI routes non-standard scenarios to designated account contacts

AI delivers analytics with service level monitoring

The results

Client Experience
Resolution Time -38%
Policy Compliance +70%
First Contact Fix +62%
Client Satisfaction +20%
Employee Experience
Agent Productivity +45%
Manual Review Time -55%
Repeat Requests -30%
Escalations -32%
Additional Optimization
Cost per Request -35%
Policy Errors -42%
Approval Cycle Time -48%
Operational ROI +52%

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