The AI voice agent that picks up when your team misses the call.

An AI voice agent is software that picks up phone calls and has a real, natural conversation - asks questions, listens to answers, books an appointment, qualifies the lead, recovers a missed call, or escalates to a human if needed. Different from an IVR (which makes you press 1 for sales, 2 for support and dies the moment you ask something it does not have a button for). Different from a voicemail (which dies the moment the caller hangs up). The current generation - 2026 - uses Claude or GPT for reasoning, ElevenLabs or PlayHT for the voice, and Deepgram or AssemblyAI for transcription. Sub-700ms response latency is the threshold below which the conversation feels human.

Four categories of work, all live in production today. (1) Inbound call answering - your business line rings, the agent picks up, identifies the caller intent (book, ask, complain, sell), and routes accordingly. (2) Missed-call recovery - someone called, you missed it, the agent calls back within 30 seconds, captures the request, and books a follow-up. This alone recovers about 35-45 percent of missed-call revenue for service businesses. (3) Appointment booking - reads your calendar (Google, Outlook, Calendly, GHL), proposes 2-3 slots, books with confirmation, sends reminder. (4) Lead qualification on outbound calls - works through a list, qualifies BANT-style, books qualified ones, marks the rest. We have shipped all four for real estate, clinics, med-spa, agencies, and home services clients.

Realistic numbers for SMBs. Build cost: USD 4,000-12,000 depending on call volume, integrations (CRM, calendar, telephony), and language requirements. Monthly cost: USD 497 per month base (covers one phone line, up to ~500 calls/month, includes the AVA platform, prompt tuning, and ongoing operate-and-improve work). Per-call costs above the included volume: about USD 0.18-0.35 per minute depending on voice tier and model. Compare to: hiring a human receptionist (USD 2,500-4,500/mo in US, plus benefits, plus they sleep), or a basic AI voice SaaS subscription (USD 49-199/mo but with no custom logic, no real CRM integration, and no one to call when it breaks). The agency model wins when your call patterns have any custom logic at all - which is most service businesses.

Realistic timeline: 7 to 14 days from signed contract to live calls. Day 1-3: scope conversation, call flow mapping, telephony provisioning (Twilio, Vonage, or your existing number ported). Day 4-7: prompt design, voice selection, CRM integration build, calendar integration, evaluation suite setup. Day 8-10: internal testing with seeded test calls, recordings reviewed by you, edits applied. Day 11-14: live rollout, first real calls monitored hourly, daily tuning. We do not ship and disappear - the first 30 days post-launch are the tightest iteration period and included in the build.

Documented numbers from our deployments. A typical SMB misses 20-40 percent of inbound calls (lunch, after-hours, multiple ringing at once, reception understaffed). Of missed calls, about 60-70 percent are real revenue opportunities - prospects, current customers, qualified leads. An AI voice agent that calls back within 30 seconds and engages the caller recovers about 35-45 percent of that missed revenue. Math example: a service business doing USD 80K/month with a 30 percent miss rate is missing USD 24K of inquiry value. Recovering 40 percent of that is USD 9,600/month - on a USD 497/month investment. ROI typically pays back the build cost within the first 30-60 days.

In 2026, with the right voice stack, callers regularly cannot tell. We use ElevenLabs voice models (the v3 multilingual ones) tuned with about 5-10 minutes of reference audio per persona. For English deployments we have 17 production voices spanning American, British, Indian-English, and Australian accents. Hindi deployments use 8 voices. The system uses interruption handling (caller can talk over the agent and it stops), backchanneling ("mm-hmm", "got it" while the caller talks), and natural pacing. We always disclose AI use when asked directly - regulation in California, EU, and increasingly other jurisdictions requires this and we honour it by default in the prompt.

Yes - English (US, UK, Indian, Australian), Hindi, Spanish, French, Portuguese, German, and 24 other languages via ElevenLabs multilingual models. Most deployments are bilingual English-Hindi for India-facing brands, or English-Spanish for US service businesses. The agent detects the caller language in the first 2-3 seconds and switches automatically. For India deployments, we tune separately for Hindi vs Hinglish - they are different language registers and one prompt does not fit both.

Yes, with the right call flow. Real estate is one of our strongest verticals because inbound call volume is high, the workflow is well-defined (qualify intent, ask budget, ask area, book a viewing), and the cost of a missed lead is high (USD 500-5,000 per qualified buyer/seller). We have shipped AI voice agents for residential brokers in Mumbai, Delhi, Mohali, and Bangalore, plus US agents in Chicago, Atlanta, and Austin. The agent qualifies on: buyer or seller, budget range, area of interest, financing status, urgency. Books the viewing or callback. Sends a summary to the agent before the meeting. Typical setup: 5-7 day build, USD 8,000 one-time, USD 497/month operating retainer.

Three escalation patterns, depending on your preference. (1) Take a message and send a Slack/SMS/email to the human team with a summary - fast, async, no callback expected. (2) Warm transfer - the agent connects to a live human if one is available, otherwise books a callback within 4 business hours. (3) Schedule a callback - "I do not know that one, but my colleague Priya can call you back at 2pm today, does that work?" - books to your calendar, sends a confirmation. We default to option 1 for after-hours and option 2 during business hours. Every uncertain case is logged with a transcript so you can review and update the agent prompt.

Native integrations with GoHighLevel, HubSpot, Salesforce, Pipedrive, Zoho, and Calendly. Custom integrations to anything with an API. After every call, the agent: (a) creates or updates a contact with caller name, phone, intent, summary, (b) tags the contact based on call outcome (qualified, callback needed, not interested), (c) creates a calendar event if appointment was booked, (d) triggers your existing automations (welcome SMS, email sequence, task for human follow-up). The full call recording and a structured summary land in the contact record. You get a daily roll-up by email or Slack.