How a leading beauty brand cut $20 million in support costs with autonomous AI

Valtech built a platform for this client that turns fragmented support into a system that detects, decides and resolves issues on its own.

This client needed to reduce IT and marketing support costs by 30–40% over three years.

The problem wasn’t volume but dependency. Every issue, no matter how routine, required human intervention somewhere in the chain. Tickets moved between teams. Fixes stalled. Costs scaled with complexity.

Traditional chatbots didn’t help. They could answer questions, but they couldn’t resolve issues or take action inside enterprise systems.

To hit their targets, the brand needed support that could operate end-to-end without constant human involvement.

Valtech developed ElleAI on Google Gemini Enterprise to replace reactive support with autonomous execution.

When an issue appears, the platform identifies the root cause, triggers the necessary actions and verifies the outcome. No escalation. No handoffs.

ElleAI can detect a missing carrier in an order management system and trigger a fix automatically. Or it can resync a data feed without human intervention.

A continuous loop — detect, decide, act — removes the need for manual intervention across large parts of support. The platform also streamlines maintenance. Patching, upgrades and optimizations run as ongoing workflows, reducing friction in release cycles and freeing teams to focus on higher-value work.

With ElleAI, support is no longer a reactive function inside this enterprise. It’s an autonomous system that resolves issues without ongoing human intervention.

Run and release cycles are 50% faster, with no increase in failure rate. Issues are resolved earlier and more consistently, reducing the need for escalation and manual oversight.

The impact compounds over time. Lower ticket volume, fewer handoffs and reduced staffing needs across IT and marketing drive a projected $20 million in savings over three years.

By combining composable architecture with agent-based execution, we move beyond tools that assist humans and build systems that operate independently. The result is less coordination, fewer bottlenecks and more time spent on work that drives growth.

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This client can move from resolving issues to preventing them by identifying risks, adapting to changes and keeping operations stable without human input. Support evolves from a function the business maintains to a function that maintains the business.