Case Study: Sling Money scales customer support and resolves 78% of inquiries with Gradient Labs AI Agent

How Sling Money scaled customer support during growth spikes

Sling Money, an app providing instant global money transfers, faced a significant challenge in scaling its customer support to handle unpredictable demand spikes during periods of rapid growth. Their team was overwhelmed with repetitive inquiries, creating stress on their infrastructure. To address this, they partnered with Gradient Labs to implement an AI agent.

Gradient Labs integrated its AI agent with Sling Money's existing Intercom support channel. The solution achieved a 50% resolution rate on day one, which was later optimized to 78% of all inquiries being handled automatically. This result allowed Sling Money's support team to focus on complex cases and eliminated the need to hire additional staff during busy periods, effortlessly scaling their support capacity.

Sling Money

Aliny Penrose

Head of Operations