AI that works on the shop floor, not just in the boardroom.

We build assistants for supervisors in their own language, document readers for vendor invoices and quality records, and agents that check dispatch paperwork before a truck leaves. Connected to SAP, Tally or whatever you run.

ERPDispatchQualityShop floor

Where the time goes

SOPs nobody can find

Work instructions, machine manuals and safety procedures sit in binders and shared drives, mostly in English. A supervisor on the night shift needs an answer in Hindi in two minutes, not a 90-page PDF.

Vendor invoices

Hundreds of supplier invoices a month in different formats, matched by hand against purchase orders and goods receipt notes before they go into SAP or Tally.

Quality reports

Inspection records, deviation reports and customer complaint files are written, scanned and filed. Patterns across them are found late, usually after an audit or a customer escalation.

Dispatch and e-way bills

Each consignment needs the invoice, e-way bill, LR and packing list to agree. A mismatch found at a checkpoint costs a day.

Reports that take a week

Plant heads and logistics leaders ask the same questions every month: on-time dispatch, freight cost per tonne, rejection rate by line. Someone builds them by hand from three systems.

The rules we design for

This section is guidance, not legal advice. Your safety, quality and compliance leads make the final call.

Safety-critical instructions

A knowledge assistant answers from your approved SOPs only, cites the source, and says “I do not know” rather than guess. It never replaces lock-out, permit-to-work or any safety sign-off.

Quality systems

Where you run ISO 9001, IATF 16949 or similar, the assistant reads controlled documents at their current revision and logs what it answered.

GST and e-way bills

Agents check and flag. Your finance and logistics teams approve what is generated or filed.

DPDP Act 2023

Driver, dealer and employee details are personal data. We collect what the use case needs and set retention limits.

What this means in practice: answers with citations, a clear “not sure” path, deployment in your environment, and people approving anything that is filed or acted on.

Illustrative scenarios

Illustrative

A manufacturer’s SOP assistant for shop-floor supervisors in Hindi

Supervisors ask questions in Hindi on a shared tablet or their phone and get a short answer with the SOP page cited. The accuracy bar is agreed in writing before the build.

Read the scenario
Illustrative

A logistics company’s leaders asking questions of their own data

An analytics agent answers questions on dispatch, freight cost and delivery performance in plain language and shows the query behind every number.

Read the scenario

These are examples of what a project looks like. They are not clients or results.

Questions manufacturing and logistics teams ask

Our SOPs are scanned and some are handwritten. Will that work?

Often, yes. We test a sample in the first week. Where a document cannot be read reliably, we say so and recommend digitising it before it goes into the assistant.

Can it run without internet on the floor?

For poor connectivity, we can deploy on a local server at the plant with an open-weight model. We test whether accuracy holds before recommending it.

We run an old version of SAP or a customised Tally. Can you connect?

Yes. We work with the interfaces you have, from RFC and IDoc to Tally’s XML interface and file exports, and with your existing IT partner.

Who checks the AI’s answers on safety?

Your safety lead approves the source documents and the evaluation set. The assistant answers only from those documents and refuses questions outside them.

What is a sensible first project?

Usually one plant, one line or one document type. Prove it there in a 4 to 8 week pilot, then roll out.

Start with one plant and one problem.

Thirty minutes with a founder. A one-page note within three working days.