No matter where you fall on the spectrum of early adopters, you’ve likely asked some version of these questions when deploying an AI agent to engage with your customers.
Is it accurate enough? Will mistakes cost me customers?
How do I monitor performance and fix issues quickly?
Is it really ready for prime time, or am I risking my brand’s reputation?
Can I truly trust an AI with my most important processes?
Have I built this correctly?
We recognized early on that helping our customers build confidence and trust in the platform was crucial.
Our customers needed to see if the agent they built delivered every single time.
If something didn’t work, they needed to know — and so did we.
The first step in fixing a problem is recognizing that something is broken.
To ensure full visibility, we developed a comprehensive suite of monitoring features around end-user interactions and calls. Rather than hiding these tools behind admin panels, we made them directly accessible to our customers.
Call Transcripts — Real-time transcripts; stored under calls
Call Summaries — Summarizes customer inquiries and resolutions
Call Scoring — Evaluates agent performance during calls
Sentiment Analysis — Tracks caller sentiment throughout the conversation
Call Recordings — Provides access to actual call recordings
Post-Transfer Transcripts — Captures transcripts after calls are transferred
Call Analytics — Displays call, caller & business trends via Dashboard
AI Tool Calls — Shows how agents utilized tools during calls
Call Reporting — Enables thumbs up/down feedback
By making these insights accessible, any poor scores, unsuccessful calls, unhappy customers, flawed agent implementations, dysfunctional tools/features, and platform deficiencies became visible.
Our customers can improve their implementations and processes, creating more robust solutions and ultimately support their customers better.
We receive direct feedback to enhance our platform’s functionality and reliability.
Issues and challenges are tackled head-on, strengthening customer relationships.
While we have several other tools and processes in place to ensure product reliability and quality, this transparency-driven approach has helped us stay close to our customers.
By growing alongside them, we build confidence, trust, and a stronger AI-driven future together.
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Train like a human employee
Connect websites, docs, and FAQs
Validate before deployment
Deploy across platforms
Instruct, train, test and deploy your AI Receptionist to phone, chat and more in record time without compromising on capabilities and scalability.
Skip the AI complexity. Train your AI receptionist in plain English like a human employee. It automatically learns from your website, documents, and FAQ.
Real-time emotion tracking
Automated scheduling
Voice transcription & playback
AI-generated insights
Connect with 8000+ apps through Zapier or webhook integration. Your AI receptionist seamlessly integrates with your existing tools.
See your AI receptionist in action with live monitoring, recordings, call summaries, sentiment analysis and more. Make intelligent informed decisions with data you can trust.
No two businesses are the same. That's why we've built a platform that allows you to customize it to fit your business needs, instead of the other way around.
Get everything in one platform - from phone numbers to training and analytics. Launch your AI receptionist in minutes with our easy process.
Get a complete business operating system with built-in CRM, analytics, integrations, and more that integrates directly with your AI receptionist.
Connect to 7000+ tools via Zapier, webhooks and APIs. Easily automate workflows just by typing instructions and enable your agent to take actions during conversations.
Built on industry-leading infrastructure and AI technology
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