How to Transform Your Campaigns through AI with Taco Bell & Whataburger

What happened in Vegas didn't stay in Vegas this year.

Our session at Braze Forge 2025 was overflowing (literally) with interest — and we're inviting those who couldn't make it into the session to check out our encore on-demand webinar. Learn how we're helping brands like Taco Bell and Whataburger transform their campaign processes with AI and automation.

Our key takeaways:

1. Automate the busywork. Keep humans on the big stuff.

AI and automation are no longer experiments. They’re how leading brands scale smarter. By building “agentic workflows,” teams can hand off the repetitive, rule-based tasks (QA checks, asset formatting, campaign setup) and redirect focus toward strategy, creative, and customer insight. The best work still requires human context and judgment — agents just clear the way so that work can happen faster.

2. Attack the bottlenecks first.

Every campaign process has one or two frustrating pinch points. For Whataburger, it was campaign composition. The process to get messages from Figma to Braze was a heavy manual lift. Their new agent now handles that automatically, saving ~4 hours per campaign and more than 20 hours a week. For Taco Bell, it was QA. Checking hundreds of configurations before launch taxed their already lean team and still left room for error. Their QA agent runs 200+ tests in under a minute, reducing errors and freeing up another 25+ hours per week. The takeaway: you don’t need to automate everything. Start by automating your biggest bottlenecks.

3. Do more with the stack you already have.

These agents weren’t built with new software; they were built by making smarter connections. Using Braze’s existing APIs, n8n for workflow automation, and tools like Figma, ClickUp, and Puppeteer, both teams created powerful AI agents without adding another platform. The message: the modern marketing stack you already have can do far more than you think — it just needs connective tissue.

4. Start small. Then stack agents.

You don’t need a dozen agents or a huge task force to get started. Identify one clear, repeatable use case. Build one agent. Measure the time and quality impact. Then build the next. Each new agent compounds your efficiency and extends your foundation. Like any good campaign framework, it’s iterative: test, learn, scale.

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