Conversational AI — Chatbots & Voice Agents
Answer every customer instantly, in any language — without hiring a bigger team.
In one line
Key takeaways
- Conversational AI covers support chatbots, website/product assistants, and voice or phone agents — across web, phone, and messaging channels like WhatsApp.
- A good assistant is grounded in your real data and cites or acts on it, instead of a scripted FAQ bot or a chatbot that makes things up.
- It works in multiple languages natively — including Indian languages — and hands off to a human the moment judgment is needed.
- It's owned by you and deployed on your infrastructure, not rented per conversation.
Every business fields the same conversations over and over: where's my order, what are your hours, how do I reset this, can someone help me book. When the only way to answer is a person, customers wait in a queue, your team burns its day on questions it has answered a thousand times, and the moment volume spikes or a night falls, people simply go unanswered. Conversational AI is the surface that answers those customers instantly, in their own language, at any hour — without hiring a bigger team to do it. Plenaura builds that surface end to end.
The reason most people are wary is that they've met the bad version — the FAQ bot that loops you through menus and never has your answer, or the chatbot that confidently makes up a refund policy you then have to honor. Neither is what we build. A real assistant is grounded in your own data — your orders, policies, help docs, and systems — so it answers from what's actually true, not a model's guess. It resolves and acts on the real request, and when it isn't sure or the case needs a person, it hands off cleanly rather than bluffing.
It also meets customers where they already are. The same underlying assistant can live on your website, answer the phone as a voice agent, reply on WhatsApp and messaging, and sit inside your product — one brain, many front doors. It speaks your customers' languages natively, including Indian languages, rather than bolting a translation layer onto an English bot, so accuracy and tone hold up. And it doesn't replace your team: it clears the routine volume and routes the conversations that genuinely need a human, with full context, so your people spend their time where judgment matters.
The outcome is a business that answers every customer fast, in any language, around the clock — while its team is freed for the work only people can do. Because we build the real system rather than renting you a widget, it's yours: deployed on your infrastructure under your brand, with the code, prompts, and configuration handed over and no per-conversation platform tax. And we're honest about the tool — if a clean contact form or a good help page would serve customers better than a bot, we'll tell you that. Work is scoped and quoted per project, on a clear timeline agreed up front.
What we can build for you
Support and service chatbots
An assistant that actually resolves routine support — order status, returns, account questions, how-to — by reading and acting on your live data, not deflecting with a canned menu. It handles the bulk of repeat questions instantly and hands anything it can't resolve to your team with the full conversation context attached.
Website and product assistants
A built-in assistant that helps visitors and users find what they need, answer pre-sales questions, and complete tasks inside your product — guiding rather than leaving them to hunt. It's grounded in your own content and product data, so it explains your offering accurately instead of improvising, and knows when to pass someone to a human.
Voice and phone agents
A voice agent that answers the phone, understands what the caller wants, and handles routine calls — booking, status, FAQs, triage — using speech-to-text and natural text-to-speech so it sounds like a real conversation. It captures the details, acts on them, and transfers to a person for anything that needs one, without the caller starting over.
WhatsApp and messaging assistants
The same assistant on the channels your customers already use — WhatsApp, Instagram, Messenger, SMS — so people reach you where they are and get an answer in the thread. It handles enquiries, updates, and simple transactions conversationally, keeps context across messages, and escalates to a human agent in the same chat when needed.
Multilingual conversation
Assistants that converse natively in the languages your customers speak — Hindi, Tamil, Telugu, Marathi, Arabic and more — including the everyday reality of a customer switching languages mid-sentence. Understanding and replies happen in the customer's language directly, not through a lossy translation bolted onto an English bot.
Intent routing and human handoff
Under the surface, the assistant works out what each customer actually wants and routes it — answer it, complete the task, or pass it on. Handoff is designed in, not an afterthought: on low confidence or a sensitive request it escalates to the right human with the full conversation history, so the customer never repeats themselves.
Grounding and anti-hallucination guardrails
Answers are grounded in your real content — help docs, policies, product and order data — with retrieval so the assistant responds from what's true rather than inventing it. It's built to say 'I'm not sure, let me get someone' when it doesn't know, and guardrails keep it on-topic and on-policy, so it never promises a rule you'll have to unwind.
How we deliver it
Scope the conversations and the channels
We start from the conversations your customers actually have — the real questions, the repeat requests, the ones that clog your queue — and decide which are worth automating and on which channels (web, phone, WhatsApp, in-product). If a form or a good help page serves a case better than a bot, we'll say so rather than automate for its own sake.
Ground it in your data and define handoff
We connect the assistant to the real sources of truth — your help content, policies, product and order systems — so it answers from what's true, and we define exactly where it hands off to a person: which requests, at what confidence, to whom. Grounding and escalation are designed at the start, not patched on once the bot starts guessing.
Build it and connect to your systems
We build the assistant and wire it into the tools it needs to actually resolve and act — your helpdesk, store, CRM, booking, and internal systems — plus the speech layer for voice and the messaging APIs for WhatsApp and chat. The result is an assistant that does the task, not one that only talks about it, deployed under your brand.
Evaluate on real conversations and set guardrails
We test the assistant against real conversations — checking whether it resolves correctly, grounds its answers, escalates when it should, and holds up across languages — then tune until it's trustworthy. We set the guardrails and confidence thresholds so it stays on-policy and hands off rather than bluffing, measured on your traffic, not a scripted demo.
Deploy across channels, monitor, and hand over
We roll the assistant out on your channels, starting narrow and widening what it handles as it earns trust, with monitoring so weak or missed conversations surface for review. Then we hand over the full system — code, prompts, and configuration — so your team can run and extend it, on your infrastructure, with ongoing support an option and never a lock-in.
The outcome
Customers get an instant, accurate answer at any hour and in their own language — routine questions resolved end to end, and anything that needs a human passed to one cleanly.
This is for you if
- Your team answers the same customer questions over and over
- Support or booking requests come in after hours or in several languages
- You want an assistant that resolves and acts, not a dead-end FAQ widget
- You've been burned by a chatbot that made things up or frustrated customers
What you get
- A customer- or staff-facing assistant for your channels — web, phone, or messaging
- Answers grounded in your real data — not a scripted FAQ or a hallucinating bot
- Native multilingual conversation, including Indian languages
- Clean handoff to a human the moment a conversation needs judgment
- Deployed on your infrastructure and owned by you — not rented per conversation
However we build it, you own it
Conversational AI — answered
A basic bot matches keywords to canned replies and loops customers through menus until they give up and ask for a human. What we build understands the real request, answers from your live data, and completes the task — checking an order, booking a slot, updating a detail — then hands off cleanly when it should. The difference is resolution: a menu deflects, a real assistant resolves and acts, and knows when it can't. We only build one when it genuinely beats a form or a good help page, and we'll tell you when it doesn't.
A general chatbot answers from what it read on the public internet, so it will confidently invent your pricing, your policies, and your process — it has never seen them. We ground the assistant in your own content and systems using retrieval, so it answers from what's actually true and points to the real source. It's built to say 'I'm not sure, let me get someone' when your data doesn't cover a question, and guardrails keep it from promising a refund or a rule you'd have to unwind. Grounding and honest 'I don't know' behaviour are what stop the hallucination that makes people distrust a raw model.
Yes — the same underlying assistant runs across channels. On the phone it works as a voice agent, using speech-to-text and natural text-to-speech to hold a real conversation, understand the caller, and act. On WhatsApp and other messaging apps it replies in the thread where your customers already are. It's one brain behind many front doors — web, phone, WhatsApp, messaging, in-product — so the answers and behaviour stay consistent wherever a customer reaches you, rather than three disconnected bots that each know something different.
Yes, natively. The assistant understands and replies directly in the languages your customers speak — Hindi, Tamil, Telugu, Marathi, Arabic and others — including the common reality of someone mixing languages in a single message. This isn't an English bot with a translation layer stapled on, which loses meaning and tone; the assistant reasons in the customer's own language, so it stays accurate and sounds natural to the person actually using it.
It hands off — cleanly, and by design. The assistant handles the routine volume and escalates the moment a request is sensitive, complex, or something it isn't confident about, passing the full conversation to the right person or team so the customer never has to repeat themselves. You decide what it handles unattended and where the line sits, and you can widen that as it proves itself on your traffic. The point is to clear the repetitive load off your team, not to wall customers off from a human when they need one.
You own it — the code, the prompts, the configuration — deployed on your infrastructure under your brand, with no per-conversation platform fee and no vendor you can't leave. Customer conversations and the data the assistant reads stay in your environment, used to serve your customers and not to train a shared third-party model. For sensitive or regulated work we can deploy so data never leaves your network, and we hand over the full system with documentation so your team can run and extend it after we're gone.
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Ready to scope it? Let's talk.
A short call, then a clear, agreed scope in writing. No obligation, and an honest no if it isn't a fit.