Call Analytics
Review calls, transcripts, recordings, costs, outcomes, and operational trends.
Written and reviewed by the Relora AI Team ยท Last updated
Key takeaways
- Call Analytics is part of Relora AI, an agentic contact-center platform for automating customer conversations.
- Review calls, transcripts, recordings, costs, outcomes, and operational trends.
- Connect business context, deploy the workflow, and measure outcomes from one dashboard.
How Relora works
- Connect business knowledge, prompts, phone numbers, contacts, and operating rules.
- Deploy AI voice agents, live chat, campaigns, or support workflows for customer conversations.
- Review transcripts, summaries, outcomes, cost, duration, and analytics to improve performance.
Relora platform capabilities
| Capability | Operational value |
|---|---|
| AI voice agents | Answer inbound calls, qualify leads, book appointments, and run outbound campaigns. |
| Knowledge grounding | Uses approved business context so automated answers stay consistent. |
| Human handoff | Escalates conversations with transcripts, summaries, and customer context. |
| Call analytics | Tracks recordings, transcripts, duration, cost, status, and outcomes. |
Frequently asked questions
What is Call Analytics in Relora AI?
Call Analytics is part of Relora AI, an agentic contact-center platform for automating customer conversations with voice agents, live chat, knowledge grounding, human handoff, and analytics.
How does Call Analytics work in Relora?
Teams connect business context, configure the workflow, deploy the automation, and review transcripts, summaries, outcomes, cost, and performance in one dashboard.
Who should use Call Analytics?
Call Analytics is designed for support, sales, operations, and customer experience teams that need consistent AI-assisted conversations with measurable results.