Jarni AI

About Jarni AI

Launched Aug 06, 2025

Description

Real-time AI platform for answering calls, assisting agents, and automating QA in high-volume

AI voice assistants that answer, support, and analyze calls in real-time boosting revenue, reducing missed calls, and making your live team 10× more effective. Jarni AI offers three core modules: - Answering Assistant (Autopilot): A real-time voice AI that answers inbound calls 24/7, qualifies leads, books appointments, answers FAQs, and transfers important calls to live agents. - Call Companion (Copilot): An agent-side tool that provides live transcription, real-time prompts, objection handling suggestions, and automatic call summaries during and after calls. - QA Automation: Automatically reviews 100% of calls, flags coachable moments, scores performance, and provides insights to managers without needing manual review.

Jarni AI Key Features

24/7 voice call answering (AI voice agent)
Live call transcription & assistant suggestions
Automated QA: call scoring, script adherence, tone analysis
Appointment booking, lead capture, and intelligent routing
Webhook + CRM integrations
Multilingual (supports English, Spanish, Portuguese, and more)
API access available

Jarni AI Use Cases

Not just transcribing, Jarni responds intelligently in under 1 second
Designed for appointment-driven, lead-driven, or service-heavy teams
Use only what you need; Answering (Autopilot), Copilot, or QA independently
Most AI tools ignore the human reps. We enhance them.

Pros

Real-time AI platform boosts revenue by reducing missed calls and enhancing team effectiveness.
24/7 availability with the Answering Assistant ensures no inbound calls are missed, improving lead qualification and appointment booking.
Call Companion offers real-time transcription, which aids agents in maintaining focus on the conversation rather than taking notes.
Offers real-time prompts and objection-handling suggestions, which can improve customer interactions and agent performance.
Automatic call summaries save time and ensure accuracy in documentation.
QA Automation reviews all calls, flags coachable moments, and scores performance, which can improve training and operational efficiency.
Manages real-time analysis and insights for managers without manual review, freeing up resources.

Cons

Initial setup and integration into existing systems might be complex and time-consuming.
The effectiveness of AI suggestions and transcriptions might vary based on call quality and language nuances.
High reliance on technology may introduce concerns about system downtimes or quality issues during peak usage.
Potential data privacy concerns depending on how information is stored and managed.
May require regular updates and monitoring to ensure AI stays accurate and effective with evolving business needs.