Very direct value proposition
There is almost no wasted language on the page, which helps keep the case study clean and outcome oriented.
Payments Intelligence/login5 screens
PaySight AI
Payments intelligence product positioned around MPOS file uploads and analytics generation from a simple login entry point.
Screen walkthrough
A fuller gallery for the product story.
This gallery is meant to show progression, not just a single hero frame. Use it to talk through navigation depth, records, analytics, and workflow context during a call.
/login
Screen 01
Primary interface capture used for the listing card and story lead.
Overview
PaySight AI has a minimal public surface, but the message is sharp. The product states exactly what it does: ingest MPOS files and generate analytics. That makes it a good candidate for a concise, conversion-oriented case study where the value proposition should be explained in one or two lines.
Strongest story angle
Present it as a focused analytics product for payments teams that need to turn raw transaction exports into usable insight.
Observable modules
LoginEmailPasswordMPOS filesGenerate analytics
Why this one works
Three angles worth carrying into the final write-up.
Specialized product story
The narrow focus on payment-file ingestion is useful when showing that the work includes operational analytics products, not just broad admin systems.
Good candidate for short-form motion
Because the message is compact, this is well suited to a short teaser video with animated data overlays and file-to-insight transitions.
Motion outline
This sequence can still become a short teaser.
- 01
Open on the PaySight AI title and sign-in frame.
- 02
Animate the MPOS file upload message into an analytics reveal.
- 03
Close on a simple line about turning payment exports into decision-ready insight.
Next publishing pass
The structure is now cleaner: better screenshots, stronger conversion paths, and shared page chrome that behaves correctly. The next layer is adding repository-backed build notes and verified outcome data.
Still worth adding
- 1. Verified repository context for stack and architecture notes.
- 2. Approved proof points to replace generic performance language.
- 3. Short teaser renders once the repository evidence is in place.