Each practice is a finished room in your operation.
We don't sell a platform. We install one system at a time, hand it over completely, and stay on as custodians only if you want us to.
AI Agents for manual work
The work your best people shouldn't be doing — reconciliation, drafting, routine reports, triage — quietly handled by a system you own.
An AI agent is not a chatbot. It is a narrow, disciplined piece of software that performs a specific business task on a schedule, or on a trigger, under governance you control. It reads your data, drafts a result, routes it to the right human for sign-off, and keeps a full audit log.
We scope agents narrowly. One problem, one workflow, one unambiguous outcome. That is the only way agents become reliable — and reliability is the only way they earn the right to keep running after we leave.
Agents we've built
Your data, rendered intelligent
Most AI projects fail at data, not models. We fix the pipes first — quietly, one system at a time — so everything downstream becomes possible.
Every medium business we meet is running on seven to ten disconnected systems — Tally, Zoho, Salesforce, SAP, email, Drive, WhatsApp, a spreadsheet someone made in 2019. There is no single place to ask a question and get a reliable answer. Reports disagree. People reconcile by hand.
We build the quiet middle layer — event-driven pipelines, a warehouse of record, retrieval indexes for unstructured data. It is not glamorous; it is the foundation every agent and chatbot downstream stands on.
Integrations we've built
A WhatsApp agent that sounds like you
Customers in India want to talk on WhatsApp. In Hindi. At 11 pm. We build chatbots that do it politely, accurately, and only say what your policy allows.
Every week, we see businesses losing enquiries to competitors because a receptionist went home at 6 pm. The fix is not a cheap chatbot script — it is a retrieval-grounded agent that answers from your actual documents, books appointments on your calendar, and escalates to a human the moment the question goes beyond its remit.
We deploy on WhatsApp Business API (Meta Cloud), the web, or voice — in Hindi, English, and your regional language. Every response is traceable to a source in your knowledge base. No hallucinations, no awkward corporate voice, no "I'm just an AI."
Conversational systems we've built
Claude & Copilot, considered
Most enterprise AI licences get bought, evangelised on Monday, and abandoned by Friday. We deploy them the way you would a new hire — carefully, to the right desks.
Enterprise AI — Claude for Business, Microsoft 365 Copilot, ChatGPT Enterprise, Cursor for developers — is more useful than the first wave of tools, but it still fails the same way: broadcast licences to 400 people, hope. We don't do that.
We identify the five or six desks where AI will actually change how the work is done. We train those teams in their real workflows, not generic demos. We write your AI policy (what's allowed, what isn't, where the data goes). We optimise licences. And we leave behind a custodianship handbook for your leadership — a living document that tells the next IT hire exactly what was deployed, why, and how to change it.
Rollouts we've led
Pick the one that feels most expensive to do by hand.
Most clients start with a single agent or one conversational rollout, see time come back, and expand from there. There is no packaged bundle; there is only the one room that needs fixing first.