FomofyAI engines
Virtual try-on and skin-tone colour intelligence for a fashion app. Return rates down, add-to-cart conversion up.
00 / AI AUTOMATIONS
You do not need AI. You need to stop doing the task.
Most AI pitches start with the technology. We start with the task. We use AI where it removes real repetitive work, reading documents, pulling fields, sorting and drafting, and we tell you plainly where it does not belong.
FIELD EXTRACTIONAI
01 / THE PROBLEM
Your team spends its day reading, typing and sorting. Almost none of it needs a person.
Someone reads an invoice and types the numbers into a system. Someone categorises a ticket and forwards it. Someone checks a form against a rule, again, the way they did yesterday. It is the work that quietly fills the day and grows the headcount. Meanwhile the market is selling AI transformation that never touches any of it. The real opportunity is smaller and far more useful. Remove the repetitive reading and typing, and give the judgment back to the people who are good at it.
02 / THE WORK WE REMOVE
Four kinds of repetitive work, done by software.
01
Read the document. Pull the fields. Skip the typing.
Invoices, purchase orders, statements, forms and contracts. The software reads them, lifts out the fields that matter, and drops them into your system, so nobody retypes what a machine can read.
A stack of documents, handled without a keyboard.
02
Sorted the moment it arrives.
Tickets, transactions, emails and requests, tagged and routed to the right place automatically. The queue organises itself before anyone opens it.
No more triaging by hand.
03
Every record checked, every exception flagged.
Apply your rules across thousands of records at once. The software passes what is clean and surfaces only what needs a human, so your team looks at the exceptions, not the whole pile.
Hours of checking, down to the ones that matter.
04
The first draft, ready for review.
The repetitive reply, the recurring report, the summary of a long thread. The software writes the first version, your team edits and approves. The blank page stops being the slow part.
A draft in seconds, not a morning.
03 / PROOF
What these systems have removed.
days→under 60s
A plain-English analytics dashboard engine, from a written question to a chart (in progress).
04 / ONE TEAM
Automation is only useful if it can see your data and act on it.
The pipeline that feeds it clean data. The system it plugs into. The interface where a person reviews what it did. Automation bolted onto a business it cannot reach is a demo, not a result. We build the layers around it too, so what the software reads actually lands where it needs to.
05 / STRAIGHT TALK
Half the time, AI is the wrong tool.
Sometimes a simple rule beats a model. Sometimes a better form removes the work before it starts. Sometimes the task needs a person and always will. We will tell you which of these you are looking at, and we will not sell you AI you do not need. Problem first. Process second. Software last.
06 / START HERE
Show us the task your team repeats all day.
A working session, not a sales call. We look at the repetitive work, size the hours it is costing you, and tell you honestly whether AI is the right tool for it.
Smoketrees Digital LLP
Custom software systems for growing businesses.
HSR LAYOUT, BENGALURU
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