AI call assistant: what it does and how to choose one

An AI call assistant is a voice agent that handles phone conversations on behalf of your business. It listens to the caller, works out what they need, replies in a natural voice and takes an action such as booking a slot or updating a lead record.

Many products in this category chain three systems together. Speech-to-text turns the caller's words into text, a language model decides the reply, and text-to-speech reads it back. Each step adds delay, which is why some assistants leave awkward pauses on a real phone line.

GRX10 Voice AI uses a single audio-to-audio model built on a patent-pending architecture. The model hears audio and responds in audio, and its first-word response on real phone calls is under 700 ms.

On inbound calls, the assistant picks up when your team is busy, off shift or on another line.

• ▸Answering and routing. The assistant greets the caller, finds out why they called and either resolves the request or routes it to the right team.
• ▸Lead capture. When a prospect calls about an ad or a listing, the assistant asks your qualification questions and creates the lead in your CRM.
• ▸Appointments. It checks availability, books the slot and confirms the details back to the caller.
• ▸Service queries. It answers order, policy and account questions from the information you give it. A FinTech service desk running GRX10 Voice AI reports 85% first-call resolution and 92% CSAT.
• ▸Warm handoff. When a caller needs a person, the assistant transfers the call with the full context, so the caller does not have to repeat themselves.

On outbound calls, the assistant works through a list or reacts to a trigger, such as a new form fill or a missed payment. It can place many calls in parallel, which matters when a new lead should hear from you within minutes.

In India, outbound commercial calls must respect TRAI's calling window of 9 am to 9 pm and the DND rules. A well-built assistant enforces both in its scheduling. If answering calls is your main need, see the AI receptionist use case.

• ▸Speed-to-lead. A Mumbai residential developer cut its callback time from more than 14 hours to 90 seconds and saw 3.1x lead-to-site-visit conversion.
• ▸Tele-sales at volume. An EdTech team runs 10,000 outbound tele-sales calls a day on GRX10 Voice AI at 32% conversion.
• ▸Reminders and confirmations. A healthcare provider brought its appointment no-show rate down from 40% to 12%.
• ▸Collections. A BFSI collections team reports 41% promise-to-pay on overdue accounts.
• ▸Order verification. A D2C brand recovers 18% of carts through cash-on-delivery verification calls.

An IVR plays recorded menus and waits for the caller to press a key or say a fixed word. A human telecaller holds a full conversation but takes one call at a time and works set hours. An AI call assistant sits between the two, as the table shows.

Most teams use the assistant for first contact and routine calls, and keep people for negotiation, complaints and high-value deals.

• ▸Languages. Check the languages your customers actually speak, and whether the assistant can switch mid-call. Many Indian callers mix Hindi and English in one sentence, so test Hinglish specifically.
• ▸Latency. Ask for the first-word response time measured on real phone calls, and test it yourself on a mobile network.
• ▸Handoff. Confirm the assistant can transfer a live call to a person with the conversation context attached.
• ▸CRM logging. Each call should produce a recording, a transcript, a summary and a disposition in your CRM. Without these, managers cannot audit calls or measure outcomes.
• ▸Compliance. For India, check readiness for the DPDP Act 2023 (a data processing agreement, a named Grievance Officer and a DPO) and enforcement of TRAI calling hours and DND. For US calls, ask how the vendor handles TCPA requirements.
• ▸Setup effort. Ask how long it takes to go from a job description to a working agent, and who writes the prompt, greeting and guardrails.
• ▸Pricing structure. Ask whether telephony is billed separately and whether some languages cost more.

AI call assistants are usually priced per minute of conversation. The total has two parts, a platform fee for the AI itself and a telephony charge for carrying the call over the phone network.

As one example, GRX10 Voice AI charges ₹7.99 per minute for the platform in India ($0.119 per minute outside India). Telephony is billed as a separate line at carrier cost, which is ₹0.85 per minute on managed SIP in India. No language carries a surcharge.

A typical 2-minute call costs about ₹16 in platform fees and ₹1.70 in telephony, or roughly ₹17.70 in total. At 10,000 minutes a month, the same rates work out to ₹79,900 for the platform and ₹8,500 for telephony.

When comparing quotes, ask each vendor for the platform rate, the telephony rate, any language or voice surcharges and any setup fee, then price a realistic monthly volume. Teams that also need a CRM can look at MicroCRM, which includes AI calling minutes in every plan (800 minutes on the Starter plan). Full rates are on the pricing page.

GRX10 Voice AI runs AI voice agents for inbound and outbound calls. It covers 30+ languages, including 22+ Indian languages such as Hindi, Tamil, Telugu, Marathi, Bengali and Kannada, with Hinglish code-switching. It detects the caller's language and switches mid-call.

You set up an agent in the agent studio by describing its job in one sentence. GRX10 generates the prompt, greeting, guardrails and voice, and your team refines them from there. Every call is recorded, transcribed, summarized and written to your CRM with a disposition.

Teams that want the calling operation run for them can use VoiceOps, which combines AI and human calling. To see an AI call assistant on your own call flow, book a demo with the GRX10 team.