Client story

Student offers in under 24 hours, not 15 days.

How a New Zealand university used ABBYY Timeline to see how its processes really run, then improved and automated admissions with Quanton.

A New Zealand university

Process mining with ABBYY Timeline, process improvement and RPA

The challenge, and the change

Before

Teams knew where work felt slow, but not where it actually waited.

After

<24 hrs

median wait for an offer

Chevrons

Prove the value fast

Student and IT data loaded into Timeline to test assumptions

Build a production digital twin

A full Timeline environment since December 2023

Measure every wait in admissions

Time to decision, split by who the application waited on

Fix the process, then automate

Admissions bots validate applications; people handle exceptions

219,000

process instances analysed in a 12-day proof of value

4 to 1

people needed to run the daily application queue

Improve the process before you automate it. A bad process automated is just a faster bad process.

Lessons from the university’s automation programme

Share the problem in a sentence or two. We’ll set up a 30-minute call with someone who has solved it before, and you’ll leave with clear next steps.