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See how Orvera AI turns voice agent conversations into monday.com tickets, with call summaries, sentiment, recordings, and QA scores in one place.
Overview
This demo shows how Orvera AI connects AI voice conversations with operational follow-up in monday.com. Anubhav Mohanty, SVP Product & Operations, walks through a live configuration in which each call creates a ticket on the client’s monday.com board, carrying the details captured during the conversation.
From there, the report logs show the sentiment of each call, the recording, a summary, the full line-by-line transcript, and a QA report scored against the client’s own quality form. The video is designed for contact center leaders, customer experience teams, and operations professionals who want every AI conversation to turn into trackable work.
Key takeaways
Calls become tasks. Each AI voice conversation creates a ticket on the client’s monday.com board with the details it captured.
Sentiment by default. Every call is tagged with its sentiment so teams can spot issues at a glance.
Everything in one record. The recording, summary, and line-by-line transcript sit together for each call.
QA on every call. Each conversation is scored as a percentage against the quality form the client defines.
Built from real deployments. The workflow reflects how enterprise customers use Orvera AI today.
Anubhav Mohanty 00:00:00.00 Hello everyone, my name is Aby and I head product and operations at CallBotics. This is a new video series that we are starting. In this, what I'll do is I kind of let you experience some of our actual workflows and actual use cases than some of our enterprise customers are currently using.
Anubhav Mohanty 00:00:23.88 Let me show you the configuration that we did with Monday.
Anubhav Mohanty 00:00:30.22 monday.com uh and this is my board where all the tickets are kind of being created this is actually the login of the client this is not the login of the client the client kind of manages all the tickets from a login like this and here is our ticket where it was created these are the details that I gave it to the board all right so here we go to the report logs and this is how the report the output could kind of look at we can read by default kind of you know maintain the sentiment of each of the calls so this is all positive sentiment because everything is okay when we kind of click on this this is how it shows it will show you the actual recording of the call which is which hand it made over here they show all the details about the call and the overall you know connection third-party connection and everything uh this is the summary this is the summary of the call and the actual call transcript or we can go through line by line call transcripts uh and
Anubhav Mohanty 00:01:34.50 here is the QA report that I told about so basically whatever this is the QA where like I told you whatever quality form you kind of set up for each of the call it will show you as percentage like oh you can see this showed as a 95% call yeah so this is overall how we kind of do it so that's all from my side for today's video hope you like all our implementations and outcome of our voice AI agent this is me AB signing off from CallBotics for today take care bye
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