Inside the Orvera Dashboard: Real-Time AI Voice Agent Control
See how the Orvera dashboard powers a live AI voice agent handling open enrollment calls, eligibility checks, portal guidance, and real-time escalation.
Anubhav Mohanty walks through the Orvera AI console: custom dashboards, no-code agent setup, LLM and voice options, prompts, and 100% QA scoring.
Overview
In this walkthrough, Anubhav Mohanty, SVP Product & Operations, takes viewers inside the Orvera AI console to show how enterprise teams build, configure, and manage AI voice agents. Client details are anonymized, but the workflow reflects real deployments, from customizable dashboards and campaign reporting to the choice between a fully managed service and a self-serve model.
The no-code builder lets teams choose or bring their own LLMs, transcribers, and voices, connect tools and integrations, and write both conversation and summary prompts. Every campaign can also carry its own 100% QA module with weighted parameters that score each call automatically. The video is designed for contact center leaders, customer experience teams, and operations professionals evaluating conversational AI.
Key takeaways
Dashboards clients control. Teams build custom reports and dashboards across inbound and outbound campaigns.
Managed or self-serve. Most enterprises hand Orvera end-to-end responsibility, while a no-code platform supports teams that prefer to build themselves.
Bring your own models. Choose from leading LLMs, or bring your own keys, transcribers, and voices.
Prompts beyond the call. Summary prompts turn every finished call into a structured summary.
100% QA by default. Each campaign can define weighted quality parameters that score every call automatically.
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 00:00:23.92 I'll run you through the orchestration process, how we are building the AI agents, building some of the prompts and configuring everything. So I'll run you through our portals, the CallBotics platform as well. Obviously, because we are under strict NDAs, I cannot name the clients. As a disclaimer, what we have done is I've anonymized all the client names on the prompt section and our model training section. So everything is very generic. There's not just the client's name, but also anything related to the use case is also very general. But you still get a kind of sense of how everything is working. You'll get to understand processes and how the AI agent kind of uh react to that particular project all right so let us just log in into our portal and let's get started uh so here is our console login let me just log into it
Anubhav Mohanty 00:01:15.74 so this is our this is our CallBotics console simple dashboards this kind of this is all customizable dashboard the best part is we kind of give this customizable dashboard access to our clients so based on their reports which is again they can build custom reports they can actually go ahead and rebuild the custom dashboards uh based on the reports you can have multiple inbound campaigns and outbound campaigns uh and then if you have like multiple campaigns so you can kind of select all those campaigns and kind of see reports as for the campaigns we have everything that takes CallBotics.
Anubhav Mohanty 00:01:53.58 We kind of do an end-to-end managed services kind of an implementation as well. There are two models that we kind of help our clients with. Most of our enterprise customers are actually in favor of we taking up the end-to-end responsibility. So in that case, we kind of understand the process. They kind of dump all the training materials. We train the entire agent and we just give them the outcome. but also we can do a self-serve model this is a no-code platform so if you look at it you have all these options over here you can configure your own LLMs we have some of our LLMs we are working with Google OpenAI, Claude, Meta all the all the top ones top LLMs that you can name off but obviously if you have your own LLMs you can bring your own keys and configure your own LLMs
Anubhav Mohanty 00:02:48.22 transcribers we have our own we have our custom as well we have n number of voices thousands of dialects and voices we can do global right now we're focused on English and US accents so you can you can select your own voice from here you can bring your own voice or we can configure our own voice uh there can be n number of tools that you can do like you know different events different integration so we can configure all the integration set tools from here and then there is a prompt management section where you can do create actual prompts but you can also kind of create the summary prompts as well right the summary prompts are basically the prompts after once everything the call is done it kind of creates the summary of and then as I was saying there are you know custom reports that you can kind of bring uh build for yourself so these are like doing configuration of the reports but also doing kind of basic configuration on how these reports should be
Anubhav Mohanty 00:03:48.48 we also by default provide a 100% QA module in which uh you can you can for every campaign that you're building in you can also build kind of a QA module uh in which you can define different parameters give percentage or to all the parameters so every content goes through the campaign you kind of, it automatically gives you the score of that particular as well. So this is a section where you can kind of fill that over. At a later stage, maybe in a separate video, I can let you go through everything in very much detail so you understand how simply you can kind of do it.
Anubhav Mohanty 00:04:25.50 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-bye.
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