The layer between the people who ask
and the systems that know.
Your stock, your prices, your orders, your customer history — all of it already sits in software. The problem was never the data. It was that asking it anything meant finding the right screen, in the right app, in the right language. BizWa removes the screen.
Answered from live stock, in the language it was asked in
The same engine, proven at both ends of the trust spectrum.
An open channel where customers are, and a closed one where a regulator is watching. Both are live and demonstrable today.
BizWa Retail
Customers and dealers order in their own words. BizWa answers from live stock and real prices, then writes the order into the system that bills it.
- ·Speaks how people type — Tamil, Hindi, English, Tanglish, voice notes
- ·Answers from your catalogue, not from a model’s imagination
- ·Native WhatsApp replies — product carousels, buttons, images
- ·Two packs shipped — retail counter, and B2B distribution order-taking
BizWa for restaurants & hotels
An aggregator takes a commission and keeps your customer. Orders that arrive on WhatsApp do neither — the margin stays with the kitchen, and so does the relationship.
- ·No commission on the order, because nobody is standing in the middle
- ·The customer’s number and history sit in your system, not an app’s
- ·Ordered in Tamil, Hindi or English — or by sending a photo
- ·The day’s sales reconcile into Tally
BizWa Shield
The licence to operate where data is regulated. Staff use the best AI available; customer identifiers never leave the building, and every request is provable.
- ·Masked before dispatch — PAN, Aadhaar, account, name, address
- ·Restored on your side, after the model has answered
- ·Tamper-evident ledger — append-only, hash-chained, exportable to an auditor
- ·DPDP and RBI-IT packs, and per-department model rules
It answers in the language the question arrived in.
Four questions, four scripts, one engine — and in the regulated case, the name and the account number are replaced before any model sees them. Vernacular support was not bolted on the side. It is how this was built, because it is how India actually types.
And a third thing leaves the middle.
Every conversation — person to system, system to system — passes through one layer. That layer can see what the organisation is forgetting. Most conversational AI is sold as a way to cut cost. This is the other side of the ledger: the business’s memory, and its radar.
This section describes work in progress, not shipped capability. Retail and Shield above are what runs today.
If you sell software to Indian businesses
Your customers are asking you for a WhatsApp assistant, vernacular support, and an answer about where their data goes. BizWa is the layer you embed to give them all three — without rebuilding your product, and without a services project every time. The engine is domain-agnostic. What changes per industry is a connector pack: the vocabulary and the actions for your system of record.
Twenty minutes, and you can ask it something yourself.
Not a slide deck. A live conversation, in your language, against a real catalogue — and for the regulated case, a prompt being refused and the ledger entry that recorded it.
Saravonix Technologies · Coimbatore & Chennai
Built Right. Held Secure.
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