Automate Lead Qualification with a Custom Voice AI
Yes, voice AI handles initial sales inquiries from marketing campaigns. It qualifies inbound callers in real-time, 24/7, without human agents.
Syntora provides expertise in building custom voice AI systems for sales inquiry qualification. These systems are designed to automate real-time caller screening, integrating with existing business tools to streamline lead management.
Syntora specializes in engineering automated systems that address specific business challenges. Our experience building Python-based automation for Google Ads campaign management, which involved complex integrations with external APIs for campaign creation and bid optimization, informs our approach to designing and deploying similar intelligent systems. For voice AI, the scope of a system like this depends on factors such as the number of qualification questions, specific CRM or calendar integrations needed, and the range of caller accents it must accommodate. A system designed to manage a few simple questions and book into a single calendar would differ from one requiring database lookups and routing to multiple sales representatives.
What Problem Does This Solve?
Most businesses start with a standard IVR system that relies on "press 1 for sales, press 2 for support" menus. These systems cannot understand natural language. A caller saying "I'd like to get a quote" instead of pressing a number is sent to a generic mailbox, and the lead is often lost. The rigid, frustrating experience causes high call abandonment rates.
A regional home services company tried using their phone provider's IVR to route calls from a billboard campaign. They found that over 40% of callers hung up before reaching an agent. The system could not ask qualifying questions, so their two sales coordinators spent their days asking the same three questions: "Do you own your home?", "Is your roof less than 10 years old?", and "What's your average monthly electric bill?".
Off-the-shelf contact center platforms like Talkdesk or Five9 offer conversational AI but are built for large teams. Their per-seat licensing model, often over $150/user/month, is too expensive for a small business. Their graphical user interfaces also limit deep integration. Connecting to a custom-built scheduling tool or a proprietary database is typically impossible, forcing you to change your business process to fit their software.
How Would Syntora Approach This?
Syntora would approach the development of your voice AI system by first mapping your specific qualification script into a state machine, implemented in Python. This method allows for defining each question, potential answer, and logical branch directly in code, providing the flexibility needed for intricate logic. For instance, the system could adapt questions based on a caller's area code or the marketing campaign's dedicated phone number. We would integrate the Claude API to interpret user intent and extract essential details like names, dates, or addresses from caller responses.
The architecture would typically involve a FastAPI application, engineered for deployment on AWS Lambda. Upon an incoming call through a Twilio phone number, Lambda would activate the application. Audio streams would be directed to AWS Transcribe for real-time transcription. Our Python-based logic would then process this text, formulate an appropriate reply, and convert it into speech using Amazon Polly, streaming it back to the caller. This iterative process is designed for rapid interaction.
Once a lead is qualified, the implemented system would be configured to perform specific post-qualification actions via direct API calls. This could include checking a sales representative's availability using the Google Calendar API, creating a new lead record in a HubSpot CRM, or logging the complete call transcript to a Supabase table for detailed review. Deploying on serverless functions means the infrastructure is designed to scale automatically as call volumes fluctuate, providing cost-efficiency and operational simplicity.
What Are the Key Benefits?
Answer Every Call, Instantly, 24/7
The voice AI answers on the first ring, any time of day. You stop missing high-intent leads from after-hours calls or when your entire team is on another line.
Pay Per Call, Not Per Seat
Our AWS Lambda deployment costs pennies per call. This avoids the high fixed costs of call center software with multi-year contracts and per-user fees.
You Own The Python Codebase
The complete FastAPI application and deployment scripts are delivered to your company's GitHub account. You have zero vendor lock-in and full control over the system.
Alerts for Confusing Phrases
We configure CloudWatch alarms to send a Slack alert if the AI repeatedly misunderstands callers. This provides a data-driven way to identify and improve the script.
Logs Directly to Your Existing CRM
Qualified leads and full call transcripts are logged to HubSpot or Salesforce. Your sales team sees new appointments without having to learn another piece of software.
What Does the Process Look Like?
Script & Systems Access (Week 1)
You provide your lead qualification questions and grant API access to your CRM and calendar. We deliver a finalized conversation flow diagram for your approval.
Core AI Build (Week 2)
We build the voice AI logic in Python and connect it to the required APIs. You receive a dedicated test phone number to interact with the first version of the system.
Integration & Deployment (Week 3)
We connect the AI to your live CRM and calendar, then deploy it to a production phone number. You receive a runbook detailing the full system architecture.
Monitoring & Handoff (Week 4)
We monitor the first 100 live calls, tune the logic based on real conversations, and then transfer full ownership. You get access to a monitoring dashboard and all source code.
Frequently Asked Questions
- How much does a custom voice AI system cost?
- Pricing depends on the number of questions in your script and the number of systems it needs to connect to (CRM, calendar, etc.). A simple qualification bot takes about four weeks. A more complex system that checks dynamic inventory or pricing may take longer. We provide a fixed-price proposal after our initial discovery call.
- What happens if the voice AI misunderstands a caller?
- The system is designed with a fallback path. If it fails to understand a caller's response twice in a row, it gracefully transfers the call to a human agent's phone number. The confusing phrase is logged from the transcript, so we can use it to improve the script. No lead is ever lost due to a misunderstanding.
- How is this different from a chatbot on our website?
- Voice AI captures high-intent leads who prefer calling, especially from offline campaigns like radio, podcasts, or direct mail. It provides an immediate, interactive qualification experience that a web form cannot. A chatbot serves a different channel. This system captures the urgency of a phone call, leading to higher conversion rates for your inbound phone leads.
- Can it handle different accents or languages?
- The system uses AWS Transcribe, which has high accuracy across a wide range of English accents. We can build versions for other languages like Spanish or French by swapping in different transcription and speech models. We determine the required language models during the initial discovery phase based on your specific customer demographics and target market.
- How is the caller's sensitive information handled?
- Call audio is streamed directly to transcription services and is never stored. Transcripts and extracted data are transmitted over HTTPS and stored securely in your own Supabase database. We follow AWS security best practices for all infrastructure. You own and control all of your customer data; we simply build the system that processes it.
- How difficult is it to change the qualification questions later?
- The conversation flow is defined in a Python configuration file, not a complex UI. Changing a question or adding a new logical branch is a minor code change. The runbook you receive at handoff includes instructions for a developer to make these updates. A typical script change can be deployed in just a few hours.
Ready to Automate Your Marketing & Advertising Operations?
Book a call to discuss how we can implement ai automation for your marketing & advertising business.
Book a Call