A lot of office work is reading something and typing it somewhere else. A supplier invoice arrives as a PDF and gets keyed into Tally. A purchase order comes by email and gets copied into the order sheet. A WhatsApp message asks about delivery and someone looks it up in three systems before replying. Large language models are now good enough to do much of this reading and routing reliably, if the workflow around them is designed with care.
We build AI workflow automation for these jobs. That can mean document processing that pulls fields from invoices, POs and bank statements and posts them to your accounting or ERP system. It can mean triage that reads incoming emails and WhatsApp messages, sorts them, drafts replies and sends each one to the right person. Or it can mean AI agents that look up orders, create tickets or update records in your business software through its API.
We keep people in charge. Every automation has confidence checks, a review queue for anything unclear, and a log of what the AI did and why. We start with one workflow, measure the hours it saves and the error rate, and only then extend it.
Teams entering hundreds of purchase bills, expense receipts or bank statements each month into Tally, Zoho Books or an ERP, and reconciling them by hand.
Businesses that receive purchase orders by email, PDF or WhatsApp in many different formats and re-type them into their order system before anything can move.
Teams handling a busy shared inbox or WhatsApp number, where most messages are routine questions about orders, delivery, invoices or appointments.
Businesses that have tried ChatGPT or Claude by hand and now want an agent that works inside their own systems, safely, with proper permissions and audit trails.
Supplier invoices from email, scans or photos are read for GSTIN, invoice number, dates, line items, HSN codes and tax amounts, checked against the purchase order, and posted to Tally or Zoho Books once validated.
Customer POs in any layout are turned into structured sales orders, with item codes matched to your catalogue, prices checked against the agreed rates and exceptions flagged for a person to review.
Incoming messages are classified by intent and urgency, key details are pulled out, and routine questions get a drafted or automatic reply using live data from your systems. Everything else is routed to the right person.
Agents that can call your APIs to check stock, look up an order, create a ticket, update a CRM record or book a slot. Each tool has limited permissions and sensitive actions need a human to approve them.
Anything below a confidence threshold, or above a set value, goes to a simple review screen where a person checks the extracted data side by side with the original document and approves it in seconds.
We use n8n, Make or Zapier when a workflow is simple and your team wants to tweak it themselves, and custom Python or Node.js services when volume, data privacy or complexity call for it.
OpenAI, Anthropic Claude or Google Gemini models, or open-source models you host yourself when data must stay in-house. We test several on your real documents and pick the one with the best accuracy for the cost.
A dashboard shows documents processed, time saved, error and review rates, and AI usage costs, so you can see whether the automation is paying for itself.
We look at where your team spends repetitive hours and choose one workflow with clear volume and a clear definition of a correct result.
Using a sample of your real documents or messages, we measure how accurately different models and prompts handle them before promising anything.
We build the automation, its connections to your systems and the review screen, and agree the thresholds for what goes straight through and what needs checking.
For a week or two the automation runs alongside your team. We compare results, fix edge cases and only then let it post to live systems.
We report hours saved and error rates monthly, and move on to the next workflow once the first one is running smoothly.
A single workflow usually goes live in 3–6 weeks including the side-by-side run. Multi-step automations and agents take 6–12 weeks. AI model usage is billed by the provider and is usually a small cost per document or message, which we estimate before you start.
₹60,000–1.75 lakh (≈ $900–2,700)
One document type or message flow, such as purchase bills into Tally or email triage for one inbox, with a review screen and basic reporting.
₹1.75–4.75 lakh (≈ $2,700–7,200)
Several document types, an agent that calls two or more of your systems, approvals, WhatsApp or email replies, and a fuller usage and accuracy dashboard.
₹4.75–12 lakh+ (≈ $7,200–18,000+)
Several workflows across departments, self-hosted models for sensitive data, custom integrations with ERPs and ongoing measurement and improvement.
Indicative budgets based on typical projects. Your fixed-price quote depends on scope, integrations and timeline.
We test accuracy on your own documents before quoting what the automation will achieve. If AI is not reliable enough for a task, we tell you and suggest a simpler rule-based approach.
GST invoices, e-way bills, Tally vouchers, bank statements from Indian banks and WhatsApp-heavy customers are everyday work for us, not edge cases.
Agents get the minimum permissions they need, sensitive actions need human approval, and every action is logged. Your data is not used to train public models.
We are a software company first, so the automation is built with proper error handling, retries, monitoring and documentation, not as a fragile chain of prompts.
With us, a single workflow automation costs ₹60,000–1.75 lakh, a multi-step automation or AI agent ₹1.75–4.75 lakh, and a larger programme ₹4.75 lakh or more. On top of that, AI providers charge per use. For document extraction this is usually a few rupees or less per document, and we give you an estimate based on your volumes before you commit.
On clean, typed invoices and POs, modern models extract most fields correctly, but no system is 100% accurate, and handwritten or poor scans are harder. That is why we test on your own samples first, set confidence thresholds, and send uncertain items to a person. The goal is to remove most of the typing, not to remove checking.
An AI agent is a program that uses a language model to decide which steps to take, such as looking up an order or creating a ticket, by calling tools you give it. It is safe when those tools are narrow, permissions are limited, important actions need approval and every step is logged. We design agents that way and start them in read-only or draft mode.
Yes. Once an invoice is validated, the automation can create the purchase voucher in Tally through its XML interface or a bill in Zoho Books through its API, with the right ledgers, GST breakdown and attachments. Anything that does not match a known supplier or PO waits for review.
Our AI chatbot service covers customer-facing chat on your website and WhatsApp. Our AI development service covers broader AI products such as RAG search and custom LLM apps. This page is about automating internal, back-office workflows: documents, inboxes and agents that update your business systems.
We use business API plans from providers such as OpenAI, Anthropic and Google, whose terms say API data is not used to train their models by default. For highly sensitive data we can use models hosted in your own cloud account or on your own servers. We also mask personal data where the task does not need it.
For simple, low-volume workflows, n8n, Make or Zapier are often the fastest and cheapest option, and your team can adjust them later. Custom code makes more sense for high volume, complex validation, strict data rules or deep integration with your own software. We use both and pick per workflow.
LLM apps, RAG over company documents, AI agents and document processing, built on OpenAI, Claude, Gemini or open models.
AI chatbots, WhatsApp Business API automation and AI agents for lead capture, support, bookings and order updates.
Order updates, payment reminders, catalogues and team inboxes on the official WhatsApp Business API, connected to your CRM, ERP or store.
We work with clients in India, United States, United Kingdom, Australia, Canada, Europe and New Zealand.
Share a few lines about your idea. We reply within one working day with questions, a rough budget and the next step, with no obligation.
“Great service”
Need a detailed estimate? Request a full quote