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Customer Service · 17 September 2026

Cresta Launches 'Beast Mode' Campaign for AI Customer Service

Cresta, an AI-powered customer service platform, has signed a former NFL player for a 'Beast Mode' campaign positioning its AI agents as a fix for slow, repetitive contact centre calls.

Newsdesk
Curated briefing · 2 min read · 2 sources

What happened

Cresta, the AI-powered customer service platform, has announced a partnership with a former NFL player as the face of a new campaign dubbed "Beast Mode," aimed at repositioning its AI agents as a fix for the everyday frustrations of calling customer service.

The campaign leans on a familiar pain point: contact centre interactions are rarely a highlight of anyone's day. Callers typically reach out because something has already gone wrong — self-service has failed, an issue needs resolving quickly, or a query has fallen through the cracks of an FAQ page. Cresta's pitch is that its AI tools can cut through the usual friction of hold music, layered IVR menus and having to repeat the same problem to multiple agents.

Beyond the marketing tie-up, the announcement signals Cresta's continued push to position generative AI not as a replacement for human agents but as a performance layer that helps contact centres handle volume, speed and consistency more effectively.

Why it matters

Contact centres remain one of the most scrutinised touchpoints in the customer journey, precisely because they are where self-service and automation typically fail first. Any vendor promising to reduce hold times, menu complexity and repeated explanations is speaking directly to the moments that most damage customer trust and loyalty.

For AI and CX leaders, the more interesting signal is less the celebrity partnership itself and more what it says about how AI vendors are now marketing: framing technical capability in terms of visceral, relatable frustration rather than abstract efficiency metrics. That shift in messaging reflects a maturing AI-in-CX market, where differentiation is increasingly about outcomes customers actually feel, not just automation coverage.

The Renascence take

A sports-star campaign is easy to dismiss as marketing gloss, but it is also a useful signal of where AI vendors think the real battleground now sits — not in back-office automation, but in the raw emotional experience of the call itself.

Most organisations still measure contact centre AI on efficiency: average handle time, deflection rate, cost per contact. Customers measure it on humiliation: having to repeat themselves, being routed in circles, waiting with no sense of progress. Cresta's campaign is implicitly acknowledging that the emotional cost of bad service — frustration, wasted effort, feeling unheard — is what actually drives churn, not the technical shortfall behind it. Operators chasing AI in the contact centre should resist the temptation to buy for the KPI and instead test vendors against the moments customers describe as most infuriating: being asked to repeat an issue, being bounced between channels, or waiting without any sense of where they stand in the queue. If a platform cannot visibly fix those specific moments, it is optimising the wrong thing.

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

FAQ

Questions we get on this topic

It's a marketing campaign from AI customer service platform Cresta featuring a former NFL player, designed to position Cresta's AI agents as a solution to common contact centre frustrations like hold times and repeated explanations.

No. Cresta frames its generative AI tools as a performance layer that supports human agents by improving speed, consistency and handling of call volume, rather than replacing them outright.

The campaign reflects a shift in how AI vendors position their products — emphasising relatable pain points like being put on hold or repeating an issue, rather than abstract KPIs such as average handle time or deflection rate.

It suggests operators evaluating contact centre AI should test vendors against specific frustrating customer moments — repetition, channel bouncing, unclear queue status — rather than relying solely on efficiency metrics.

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