jugaad
studio
AI automation

AI on the boring parts, not on the brochure.

We are not going to tell you AI will transform your business. We will tell you which three tasks it can genuinely take off your team, and which ones it would do badly.

No obligation. No pitch deck.

What we build

Reading documents

Purchase orders, invoices, packing lists and challans turned into structured rows. Especially useful where customers send orders as PDFs or photographs and somebody retypes them.

Pulling orders out of messages

A WhatsApp message containing an order becomes a draft order with items, quantities and rates filled in, waiting for someone to confirm rather than type.

Classification and routing

Incoming enquiries, complaints and requests sorted and sent to the right person automatically, instead of one person triaging an inbox every morning.

Asking your own data a question

Plain-language questions answered from your own orders, stock and history, for the people who will never learn a report builder.

A human check where it counts

Anything touching money, stock or a commitment to a customer is proposed by the model and confirmed by a person. AI that writes directly to your ledger is not a feature, it is a liability.

Signs this is the problem

  • Someone retypes orders that arrived as PDFs or photos
  • An inbox or a WhatsApp number is triaged by hand every morning
  • The same twenty questions get answered by the same person all day
  • Long email threads get summarised manually before a meeting
  • You have been pitched AI three times and none of it described your actual work

Start small. See it work. Then grow.

01Identify

We pick the one process costing you the most time, money or errors.

02Build

A custom system for exactly that process — in weeks, not months.

03See impact

You run it for real, and we measure what actually changed.

04Expand

Add the next module once the first has paid for itself.

Questions people actually ask

Is AI reliable enough to trust with our data?
For reading and drafting, it is good and getting better. For deciding, it is not — which is why anything affecting stock, money or a customer commitment goes through a person. The honest framing is that it removes typing, not judgement.
Does our data get used to train someone's model?
Not on the setups we build. We use business API tiers where the provider contractually does not train on your data, and we tell you exactly which provider is processing what before anything is sent.
What does it cost to run?
There is a per-use cost from the model provider on top of the build. It is usually small relative to the time saved, but it is a running cost rather than a one-off, and we will show you the estimate for your volumes before you commit.
Will it work with Hindi, Bengali or mixed-language messages?
Generally yes, including Roman-script Hindi, which is how a lot of business WhatsApp actually gets written. Accuracy varies by task, so we test on your real messages before promising anything.
Where would you tell us not to use AI?
Anywhere a wrong answer is expensive and hard to notice — pricing decisions, stock adjustments, anything sent to a customer without review. Also anywhere a plain rule would do the job, since a rule is cheaper, faster and always gives the same answer.
Let's talk

Tell us what wastes the most time.

Fifteen minutes is usually enough to know whether it's worth building. If it isn't, we'll say so.

No pitch deck. A 15-minute call to see if it's worth building.