AI & Automation Company in India

At a glance

Time difference

Same timezone — we are an Indian company based in Surat, Gujarat

Starting point

We find the task costing the most hours first, then choose the technology — not the other way round

Most common Indian use case

Extracting structured data from documents that arrive as WhatsApp photographs rather than clean PDFs

Channel reality

WhatsApp is the operating system of Indian business, so most automation lands there rather than in email

Languages

Handling enquiries in Hindi, Gujarati and mixed-script Hinglish rather than English only

Cost transparency

Running cost measured on your own workload during the prototype, in rupees, before you commit

Fallback design

Every automated path has a defined human fallback — an automation that fails silently is worse than none

WhatsApp is where automation has to live

In most Indian businesses WhatsApp is not a marketing channel, it is the operating system. Orders arrive there, rate enquiries arrive there, dispatch photographs are shared there, and payment follow-ups happen there. Automation that lives anywhere else is automation your customers and staff will route around.

What works is connecting that channel to a real system so a message becomes a record. An enquiry gets logged against the customer, an order confirmation goes out with the details the system holds, a dispatch update fires automatically, and a payment reminder references the actual outstanding invoice.

The valuable part is often not the AI at all — it is that the conversation stops being ephemeral. Where a language model genuinely helps is in understanding a free-text message well enough to route or answer it, particularly when it arrives as a mixture of Hindi, Gujarati and English in Latin script, which conventional keyword matching handles badly.

What the running cost actually looks like in rupees

There are two costs in any AI engagement: the one-time build and the ongoing usage. The second is what clients are rarely shown, and it is the one that determines whether the automation still makes sense in year two.

Usage is billed per token, so cost scales with volume and with how much text each operation processes. For most Indian SME workloads it is modest — but "modest" is not a number, and we would rather give you a real one measured on your own workload during the prototype than an assurance.

It also means design decisions have direct cost consequences. Sending an entire document to a model when a targeted extraction would do, or using a large model where a small one performs identically on your task, are both ways to multiply running cost for no benefit. Measuring during the prototype is what surfaces those choices while they are still cheap to change.

How the project runs

1. 1

   Find the expensive task, not the exciting one

   We start by identifying where hours are actually going, then ask whether automation is the right tool. Frequently the answer is a script rather than a model, and we build that.

2. 2

   Evaluate on your real data

   We take a sample of your genuine documents or messages — not clean examples — and measure accuracy on them before anything is committed to.

3. 3

   Measure running cost during the prototype

   Usage cost is measured at your actual volume and reported in rupees, so the ongoing figure is known before the build rather than discovered afterwards.

4. 4

   Design the fallback path

   Every automated flow gets a defined behaviour for low confidence and for failure, routing to a person with the uncertain fields highlighted rather than failing silently.

5. 5

   Integrate with an audit trail

   Where automation writes into your ERP or messaging, every action is logged and reversible, because automated writes without a trail are hard to unwind.

6. 6

   Monitor accuracy and cost after launch

   Both drift as your data and volumes change, so we set up monitoring and alerting rather than assuming launch-day performance persists.

What you get on every project

• A written scope with fixed milestones before any development starts — no open-ended hourly billing.
• A staging URL you can check at any time, so progress is visible rather than reported.
• One named point of contact, not a ticket queue.
• Invoicing in INR, under Easywork Solutions Private Limited.
• Full source code, design files and hosting credentials transferred to you on final payment.