Analyzing Telemetry Data Across 10,000 Autonomous Resolutions
We aggregated macro patterns across thousands of secure chat sessions. The resulting data highlights systemic inefficiencies in traditional support models and validates the necessity of immediate, AI-driven triage.
After crossing the milestone of 10,000 resolved sessions across our early enterprise cohorts, we isolated the telemetry data to understand exactly how autonomous agents are reshaping support operations.
The 80/20 Rule is Real
Our analytics confirmed a long-standing theory: approximately 78% of all incoming queries are highly repetitive, tier-1 inquiries. These include:
- Status checks on existing orders or tickets.
- Pricing and feature tier clarifications.
- Basic troubleshooting (e.g., password resets).
Time to Resolution (TTR)
For these tier-1 queries, the traditional human-operated model averaged a TTR of 4.2 hours (heavily skewed by off-hours downtime). With Eerina deployed, the TTR for these identical query types plummeted to 1.4 seconds.
More importantly, the CSAT (Customer Satisfaction) score for these immediate AI resolutions averaged 4.8/5.0, proving that for routine inquiries, customers value immediate, accurate answers over human interaction.