Customer support teams spend 70% of their time answering the same 20 questions. Every repetitive query costs money, slows response times and frustrates customers who want instant answers. As you scale, support costs scale linearly with revenue — unless you change the architecture.
The Result
What changes when you fix it
AI-powered support agents resolve 60–80% of inbound queries automatically — without a human agent. The remaining 20–40% are triaged, enriched with context and routed to the right human. Response time drops from hours to seconds. Support cost per ticket drops by 50–70%.
60–80% reduction in tickets requiring human response
< 5 second average first response time
50–70% reduction in cost-per-resolution
24/7 support coverage without shift planning
Automated CSAT collection and insight reporting
Our Approach
How we solve it
We audit your most frequent support queries, identify the 20 questions that generate 80% of tickets, then build a RAG-powered AI agent trained on your documentation, product FAQs and historical resolutions. The agent connects to your CRM and ticketing system — escalating to human agents with full context when needed.
Services
Services we use to deliver this
This solution draws on a combination of the following capabilities.
Reviewed by the Ascii-Core Engineering Team — specialists in AI engineering, workflow automation, product development and enterprise software architecture. Content reviewed regularly to reflect current technologies and implementation practices. · Updated June 2026