Evidence-based work. Real platforms. Measurable outcomes. Every case here is drawn from a real engagement: the constraint, the technical decision, and the outcome. The client is never named, because that permission is not ours to spend.
Showing 1 to 9 of 12 case studies
A stock audit that took two to three people a full weekend now takes ten minutes.
A storefront that had to hold thousands of shops was rebuilt with server rendering and a smaller memory footprint. The back end stayed as it was.
Several application logins became one sign-on, and authentication support tickets fell 70%.
A rough prototype, an investor deadline, and no in-house developers.
A message order took 15 to 20 minutes of staff time. Entered through the back-order module, it takes 2 to 3.
Launching a dealership site took days. Now sales and support staff do it in under 30 minutes.
Releases that meant rebuilding production by hand now run from a pipeline, and the cutover never moved or paused the database.
Business buyers who waited from 4 business hours to 2 working days for their account's price now ask in the portal and get it in seconds.
An MCP server that lets AI clients read stores, orders and integration runs, with each token limited to its own company's stores and personal data kept out of answers.
B2B sellers stopped retyping emailed PDF purchase orders. An AI service reads each one, rules match every line to the store catalogue, and a person checks the flags before one click sends it.
An internal Slack bot that already knew Jira and Bitbucket, made fit to run as a service and then taught to answer from the team's Google Drive with the source files linked.
A manufacturer's quotes, orders, deliveries and audits moved from email and spreadsheets into one supplier portal, with every approval recorded.
Ask us how it was measured.