AI agents and chatbots
An AI agent answers the questions your team answers all day — where is my order, what are your rates, is this in stock, when is my service due — in your customers’ own language, from your real data, and hands the conversation to a person the moment it should.
Is this you?
- The first hour of every salesperson’s day goes on questions that have the same answer.
- Enquiries arrive at 10pm and get answered at 11am, by which time the buyer has gone elsewhere.
- Your existing bot has a menu, asks people to press 1, and everybody types “agent” instead.
- Customers ask in Hindi or Assamese and your system only handles English.
- Nobody can tell you how many enquiries came in last month, or what they were about.
What we build
- WhatsApp agents on the Official WhatsApp Business API
- Website and in-app assistants that share the same brain and the same answers
- Connected to live data — stock, order status, dues, service history — not a static FAQ
- Multilingual handling, including Hindi and Assamese alongside English
- Clean handover to a person, with the full conversation carried across
- Internal assistants for staff: policy, process, product and pricing questions
- Guardrails on what it may and may not say, and logging of every conversation
- Reporting on volume, topics, resolution rate and where it escalates
What this is not
This is not a menu-driven bot that asks you to press 1 for sales. It reads the question, answers it from your data, and knows when it should stop and fetch a human.
Any business with more inbound questions than people to answer them: real estate, retail and e-commerce, healthcare, education, service centres, distributors.
- A written scope you approve before any code is written
- A price agreed against that scope, not discovered later
- Source code, database, documentation and IP yours on final payment
- Training for your team, and close support through the first month
AI software development
AI built into the system you already run, doing work your team currently does by hand.
AI document processing
Invoices, POs, KYC and reports read and entered automatically, instead of by a person retyping them.
CRM software
Every lead, follow-up and deal in one pipeline your sales team will actually update.
Questions people ask about this
How accurate is it, and what happens when it gets something wrong?
Nobody honest will quote you a single accuracy figure before seeing your actual documents and data. What we do instead is measure it on your real material during a pilot, and tell you the number we got.
The design matters more than the number. Every system we build sets a confidence threshold: anything below it goes to a review queue for a person rather than being posted silently. Anything touching money gets checked. You will always be able to see what the system decided, what it was unsure about, and what a person changed.
Can it handle Hindi and Assamese as well as English?
Yes, including messages that switch between them mid-sentence, which is how most customers in this region actually write. Accuracy is highest in English, good in Hindi, and workable in Assamese and Bengali. We test on your own message history before go-live and show you where it struggles, so you know what to expect rather than finding out from a customer.
Do you build the AI yourselves, or resell somebody else’s?
Neither, and the distinction matters. We do not train our own models — almost nobody outside a handful of large labs does, and any Indian software company claiming otherwise is worth questioning. We build on OpenAI’s API.
What is ours is everything around it: how your documents and data are prepared and fed in, how the output is validated before it reaches your system, what happens to the cases the model is unsure about, and how the whole thing connects to the software you actually run. That application layer is where an AI project succeeds or fails, and it is the part we build.
Where does our data go when you process it with AI?
AI processing is performed through OpenAI’s API. Your data is sent to that API for the specific task, and the result comes back into your system.
Before any project involving your data begins, we confirm the current provider data-handling terms in writing — retention, whether anything may be used for model training, and where processing takes place — so that it forms part of your agreement rather than an assurance in a sales call. If those terms do not work for your business, the honest answer is that this is not the right project for you, and we will say so at that stage rather than later.
What is the sensible way to start with AI?
One narrow process, measured. Pick the task that is highest volume and most repetitive — usually document entry or first-line customer questions — and run it on your real material alongside the existing manual process for a few weeks. You get an accuracy figure from your own data rather than a claim from a vendor, and the cost of finding out is small.
What we would advise against is an open-ended “AI transformation” programme. Those are expensive, slow to show anything, and usually end with a pilot nobody deployed.
Tell us what isn’t working
A first conversation costs nothing and commits you to nothing. Bring the problem — the mess of spreadsheets, the report nobody can produce, the process that breaks every month-end. We will tell you honestly whether custom software is the answer, and roughly what it would take. Sometimes the answer is that you do not need us. We will say so.