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What we have built

Five clients, one pattern: find the work people do by hand, build the tool that does it, and train the team to run it.

Credit card sales, Banqmart

Every card booking, found and checked automatically

Before
A full day for two people
After
20 minutes, one click
What we built
A booking tracker and one screen for problems

Banqmart sells credit cards for more than 10 banks, with about 100 card bookings a day. Every day, two people went through the banks' MIS reports and the documents from internal coordinators to find which cards were booked, and the details of each booking. It took them the whole day. Most bookings matched. Finding the few that didn't was the slow part.

The tool now reads the bank reports and the coordinators' documents, finds every card booking and its details, and matches them. Anything that does not match goes straight to the company's MIS team.

Bank MIS reportsfrom 10+ banks Coordinator documentsinternal records Booking trackerclear, written rules Matched bookingsrecorded automatically Problemssent to the MIS team
Card bookings, todayExample data
97Matched
3Sent to a person
0Done by hand
APP 20931
Bank A
✓
Coordinator file 4471
APP 20932
Bank D
✓
Coordinator file 4480
APP 20933
Bank B
!
No coordinator record, to MIS team
APP 20934
Bank A
✓
Coordinator file 4492
Illustration with example data.
20 min

instead of a full day for two people

1 person

freed for work that grows the business

Cable manufacturer, Rallison

Tenders read and answered in a fraction of the time

Before
4 to 5 hours per tender
Volume
About 5 tenders a month
What we built
An AI assistant for tenders and product sheets

Tenders are long and detailed. The team read every one and typed the product sheets by hand.

An AI assistant now reads the tender, pulls out what matters and drafts the answer. Product sheets are filled in from the product information, not typed out.

3 hours

saved on every tender

Loan company, UAE

A month-end that no longer takes over the week

Before
Salaries worked out by hand
After
2 days sooner, fewer corrections
What we built
Salaries, approvals and leave in one place

Every month-end meant approvals chased by email, complicated WPS calculations, a leave sheet nobody trusted and performance pay worked out by hand.

Salaries now come together on their own from the information the team already has, with approvals and leave in one place.

2 days

saved every month-end, with fewer corrections

Manufacturing, Filatex India

Hiring software that makes hiring faster

We built HR software for Filatex India to make their hiring process simpler and faster.

Fitness, BoulderBox

Gym management software

We built gym management software for BoulderBox, a climbing gym.

Does your team do this by hand?

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