AI Voice Agent
Deploy a 24/7 AI that makes real two-way calls to qualify leads and handle follow-up at scale.
What problem does this solve?
The economics of first response are brutal in India's lead-heavy markets. IndiaMART alone sends millions of buyer enquiries every day. A furniture manufacturer receiving 300 IndiaMART leads per week cannot afford 3 salespeople whose entire job is to call leads within 5 minutes. The AI Voice Agent changes this equation: it calls every new lead within seconds, runs a qualification conversation, and hands off warm, qualified leads to human reps — at a fraction of the cost of human first-contact agents.
The critical design principle for Indian markets is that the AI must sound natural and handle mixed Hindi-English (Hinglish) conversations. Robocall IVR systems with menu prompts are universally rejected. The ElevenLabs-powered voice agents in HelloGrowthCRM conduct natural two-way conversations — asking qualification questions, answering basic product queries from the knowledge base, and adapting to the prospect's tone and language mix. Prospects often don't realise they're speaking to an AI until the handoff.
Rollout works best as a narrowing exercise. The agent starts with one job — first-contact qualification on new inbound leads — with a short script: greet, disclose that it is an AI assistant, ask the four questions that decide whether a human should call, answer basic product questions from the knowledge base, and book the follow-up. Every call produces a transcript and outcome on the lead record, so the pilot phase is spent reading real conversations and tightening the script where prospects hesitated or the agent deflected.
The agent's output feeds the human team's day rather than replacing it. Qualified leads arrive with the conversation already summarised, so the rep's first human call starts at budget and specifics instead of 'tell me what you're looking for'. Unanswered calls follow your retry policy, disqualified leads are tagged with the reason, and everything lands in the same pipeline reports as human activity. For a small business, the practical effect is coverage: enquiries at 10pm, on Sundays, and during the team's busiest hours all get the same fast first response.
Use this feature when…
- You receive 100+ inbound leads per day and first-response time is consistently over 30 minutes
- You want to qualify leads before assigning them to reps — so reps only talk to people with budget and intent
- You want to handle routine follow-up calls (appointment confirmation, payment reminders) without rep time
- You're a single founder or small team that needs coverage outside business hours
Key capabilities
Real Conversational AI
ElevenLabs + Twilio-powered voice — not a robocall IVR. The AI conducts a natural, two-way qualification conversation.
Customisable Script & Persona
Define the AI's name, voice, personality, qualifying questions, and call objectives.
CRM Knowledge Base Injection
The AI answers product questions using your knowledge base — so it can handle 'What does your product do?' accurately.
Auto-Transcription & CRM Update
After every call, the transcript, AI summary, and qualification outcome are written to the lead record automatically.
Warm Handoff to Human Rep
When a lead qualifies, the AI transfers the call to a human rep in real time — with a whisper briefing of what was discussed.
Calling Windows & Retry Policies
Control when the agent may call, how many retries to attempt, and what follows a no-answer — a queued morning retry, a WhatsApp follow-up, or a task for a human rep.
How Indian teams use it
Solar EPC company qualifying 400 rooftop enquiries per month
A Jaipur-based solar EPC company was receiving 400+ enquiries from aggregator platforms but had only 3 salespeople. 60% of enquiries were unqualified (wrong roof type, rented property, no budget). The AI Voice Agent now calls every new lead within 30 seconds, asks 4 qualification questions, and tags qualified leads for human follow-up. The 3 salespeople now only talk to qualified prospects — their meetings-per-week tripled without adding headcount.
EdTech platform handling weekend and night enquiries
An online learning platform's 40% of demo registrations arrived between 8pm and 11pm — when human counsellors were offline. Response the next morning converted at 12% vs 38% for within-hour responses. The AI Voice Agent now calls all evening and weekend registrations within 2 minutes of sign-up, runs a 4-minute qualification conversation, and books a counsellor slot. Evening registration conversion rate improved from 12% to 29%.
How to get started
- 1Define the AI's qualification objective: what 3–5 questions determine whether a lead is worth a human call?
- 2Build the knowledge base content the AI will use to answer product questions during calls.
- 3Configure the agent in Settings → AI Agents → Voice Agent: name, voice, script, qualification criteria.
- 4Test the agent by calling it yourself — have a realistic buyer conversation and check how it handles edge cases.
- 5Start with a limited pilot: 50 leads per day while monitoring quality. Scale after confirming handoff accuracy.
- 6Read a sample of AI call transcripts every week during the first quarter — they show exactly what prospects ask, which is market research your team never had time to collect.
Best suited for these industries
AI Voice Agent vs similar features
The built-in dialer is for human reps making and receiving calls. The AI Voice Agent is autonomous — it calls without any human on the line. Use both: AI for qualification at scale, human reps for complex conversations.
Frequently asked questions
- In what languages can the AI Voice Agent speak?
- English and Hindi are supported with natural-sounding voices. Regional Indian language support (Gujarati, Tamil, Telugu) is in development.
- How do leads know they're talking to an AI?
- HelloGrowthCRM recommends disclosing AI identity at the start of every call — 'Hi, I'm Priya, an AI assistant from [Company Name].' This is a best practice and increasingly required by telecom regulations.
- What happens when a caller asks something the AI can't answer?
- The agent answers product questions from your knowledge base; for anything beyond that scope it acknowledges the question, notes it, and routes the conversation to a human — either a live transfer or a booked callback. The unanswered question is logged on the lead record, so the rep opens the follow-up knowing exactly what to address.
- What does the sales team see after an AI call?
- The full transcript, a structured summary, and the qualification outcome — all written to the lead record automatically. A rep picking up a qualified lead reads the conversation in a minute and starts the human call at budget and specifics instead of re-asking the basics.
- How is this different from an IVR or robocall?
- There are no menus and no keypad prompts. The agent holds a two-way conversation — it asks open questions, answers product queries from your knowledge base, and adapts to the prospect's responses. An IVR routes calls; the voice agent actually conducts the qualification conversation.
- How much ongoing monitoring does the AI Voice Agent need?
- Front-load it. During the pilot, read transcripts daily and tighten the script where prospects hesitate or the agent deflects. Once handoff accuracy is confirmed, a weekly spot-check of sampled calls plus the qualification outcome report is enough — the transcripts double as market research on what buyers actually ask.