How Aurea Avoided $18M in Support Costs While Scaling to 14+ Products
Aurea broke the link between portfolio growth and support cost, scaling across 14+ products without adding a single agent.
Key Outcomes & Metrics
- $18M in support costs avoided over 3 years
- 40% faster resolution time
- 0 agents added
- 14+ products scaled on one system
Aurea operates a portfolio of more than 30 enterprise software products. With 5,000+ support tickets a month and 24/7 enterprise SLAs, the support team was already at saturation, and every new product added its own requirements, workflows, and edge cases. Growth followed a predictable and expensive pattern: new products meant new customers, new support demand, and proportionally higher cost.
The Challenge
Left unchecked, the math was punishing. Aurea projected $18M in additional support costs over three years if support kept scaling linearly with the portfolio. Support was fragmented across products, regions, and use cases rather than running on a single system, so there was no shared leverage: a lesson learned on one product did nothing for the next. The goal was to grow the portfolio without letting the cost of support grow with it.
The Solution
Aurea rolled out Kayako incrementally, starting with a pilot on one high-volume product line. Kayako's AI was configured to triage incoming issues, resolve repetitive requests, and learn from successful outcomes, while keeping agents in full control and expanding automation only where confidence stayed high. Month 0 launched the pilot. Month 3 expanded to five products after hitting resolution-time and automation targets. Month 6 reached all 14+ products with no added staff.
Because the AI learned across product lines, knowledge compounded. Workflows became reusable, and confidence improved as scale grew, so each new product was cheaper to onboard than the last. The first product went live with no downtime, no parallel systems, and no customer disruption.
"We were in a tricky situation. Every new product permanently raised the cost of support. Kayako helped us scale without locking that cost in."
The Results
Within 90 days, average resolution time improved 40%, from 4.2 hours to 2.5, and external wait times dropped 98%, from nine hours to under two minutes. Automated handling of repetitive tickets rose by more than 50%. Most importantly, Aurea scaled to support 14+ products with zero additional agents, avoiding roughly $6M a year in headcount cost.
The platform investment came in at less than 12% of the projected three-year support spend, turning an $18M cost trajectory into a fixed, predictable line. Support stabilized with no CSAT decline, no emergency hiring, and no escalation crises. As Aurea's VP of Customer Support put it, Kayako helped them grow a software portfolio without letting support costs grow alongside it.
About Kayako
Kayako is a complete, modern AI help desk platform. Run Kayako One as your full help desk, or deploy the Kay AI Agent into the help desk you already use. Either way, the entire implementation is led by our experts, so your AI is configured, trained, and tuned to succeed.
Support leaders partner with Kayako to scale customer support without scaling headcount, one queue at a time. Most teams are live in days, with 80% of repetitive tickets automated within 90, so cost per ticket falls while CSAT climbs.




