India does business on WhatsApp and on the phone, in dozens of languages, often in the same sentence. We build AI calling agents and WhatsApp automation that fit that reality, so any business can sell and support every customer quickly, without sounding like a machine.
Automation should take the work off your team, never the warmth out of the conversation.
Talking to businesses across India, we kept seeing the same three moments.
“Is COD available?” Nobody is online. By morning, they’ve bought somewhere else.
The chatbot replies “Please type in English.” The customer doesn’t write again.
Every test message and call is billed. They stop testing early, and launch something they’re not sure about.
So we built waca around three ideas: the business owns its playbook, the customer hears their own language, and nobody pays to practise.
Your policies, your tone, your accounts. Each workspace connects its own WhatsApp number and calling account, and customer lists stay inside it.
The agent answers only from what you taught it, and hands over when it reaches a boundary you set.
Not every customer starts with “hello.” Agents speak English and all 22 scheduled Indian languages, and follow customers who switch mid-sentence.
A Hinglish question gets a Hinglish answer. A Tamil call gets a Tamil voice.
Every journey can be rehearsed in a local test lab with scripted replies or a local model. You see each decision before a single paid message goes out.
Teams test more, launch with confidence, and only pay once customers are actually talking.
Scheduled Indian languages plus English, configurable for each agent.
Channels, WhatsApp and voice, sharing one agent and one memory of the customer.
To build and rehearse. Spending starts when you activate a flow.
Recover carts, confirm COD orders and answer delivery questions.
Follow up every enquiry the same hour and book site visits.
Answer admission questions and remind families about deadlines.
Confirm appointments and handle reschedules without phone tag.
Share itineraries, answer check-in questions and collect feedback.
Resolve routine questions and hand the rest over with context.