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A small technology company handles sensitive customer data and has strict internal policies against sending data to third parties.

• Fully meet data security requirements in contracts with enterprise customers
• Automate 5 important internal processes without violating data policies
• No per-task costs incurred since it runs on in-house infrastructure
• Easily add new workflows without worrying about execution limits like the cloud version

A customer support team with its own dev team receives hundreds of tickets daily through various channels and needs to classify and route them faster.

• The time to classify and route tickets reduced from 2 hours to nearly instantaneous
• Classification accuracy achieved over 85% thanks to the AI Agent trained on historical ticket data
• Support staff can focus on processing tickets instead of manual classification
• Ability to add new classification logic without relying on external vendors