Making billing inefficiencies a thing of the past
Client
ABM
Every month, ABM's team were used to opening a shift report of 15,000 rows and manually turning that into invoices for hundreds of customers. Every client had its own rates. So did every airport, every role and every individual member of staff. Days to turn the work every time. Then check it. Then check it again.
6 days a month, lost to a spreadsheet
That's some pretty heavy lifting for a fairly mundane task. No problem. That's the kind of fix we love. Kyan used AI to orchestrate the whole process.
Our agentic automation let us chase every edge edge cases, fix any broken shift patterns and apply complex billing rules. Load the shift export and the rate card, and out come the per-client billing files plus an exceptions report so the team can see exactly what still needs a human eye.
Nothing leaves the building
Because we are dealing with sensitive data, all the tech and AI runs on local infrastructure to prevent any commercially sensitive data leaving the building.
No cloud, no external API calls, no new licences, no IT change.
We dual ran with the old way against the new until every number matched perfectly. The minute that was validated the old model was archaic overnight.
By the numbers
a month lost to a spreadsheet, before
6 days
shift-report rows reconciled monthly
15,000
