Real-time speech analytics for live agent assist
Blog post from Gladia
Real-time speech analytics offers a transformative approach to contact centers by enabling the conversion of live audio into structured, actionable data through a fast and efficient transcription pipeline, significantly improving operational efficiency and agent performance. By maintaining a strict sub-second latency budget, contact centers can ensure that agents receive prompts and guidance in real-time, thereby reducing Average Handle Time (AHT) and enhancing compliance coverage without increasing headcount. This technology allows every call to be reviewed for quality assurance, expanding from the traditional 1-3% manual sampling to 100% automated coverage, and providing immediate alerts for compliance risks and customer churn signals. The system relies on a sequence of steps, including transcription, sentiment analysis, and intent classification, all of which are designed to deliver guidance within 1,000ms to prevent delays that could disrupt agent interactions. Real-time analytics not only changes the outcome of calls as they happen but also supports multilingual environments and compliance requirements, making it a comprehensive tool for modern contact centers seeking to improve their service delivery and operational metrics.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 53 | 2,883 | 708 | 173 | -49% |
| LLM | 4 | 3,751 | 612 | 168 | -39% |
| AI Coding Assistant | 1 | 807 | 220 | 102 | -62% |
| Harness engineering | 1 | 137 | 67 | 36 | -46% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.