Case Study Deskcasestudydesk.com
Enterprise SoftwareSourced

Case Study: Aurea avoids $18M in support costs scaling across 14+ products with Kayako

Aurea Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Aurea
Industry
Enterprise Software
Challenge
Every new product permanently raised support cost.
Headline result
Enterprise software company Aurea avoided $18M in projected support costs and scaled across 14+ products without adding headcount using Kayako.

Key results

$18M
Support costs avoided
projected, over 3 years
40%
Faster resolution time
4.2 hrs to 2.5 hrs
$6M
Annual headcount cost saved
per year
0
Support headcount added
across 14+ products

The challenge

Aurea is an enterprise software company operating a growing portfolio of 14+ products across the future of work, IT, and commerce, handling 5,000+ monthly tickets under 24/7 enterprise SLAs. Each new product added customers, workflows, and edge cases, and the company projected $18M in support cost over three years if support kept scaling linearly.

The solution

Aurea adopted Kayako one product line at a time, defining success metrics in advance and using Kayako's AI to triage issues and resolve repeat requests while agents stayed in control. It piloted on one high-volume product, expanded to five products by month three, and scaled to all 14+ products by month six without adding headcount.

We were in a tricky situation. Every new product permanently raised the cost of support. Kayako helped us scale without locking that cost in.

BJ
Balaji Jayaraman
VP of Customer Support, Aurea

The results, in context

Within the first 90 days Aurea reports 40% faster resolution times (4.2 hours to 2.5 hours), $6M per year saved by avoiding headcount, and no increase in support headcount despite portfolio expansion. It cites $18M in projected support costs avoided over three years, with Kayako's annual platform cost under 12% of that projection. The figures are quoted from Kayako's published Aurea customer story and dated when sourced.

Products used

Kayako KayakoKayako Kayako AI