How Braze is moving AI decisioning and governance closer to the Marketer
Customer Engagement platform provider Braze has announced several new additions to its AI portfolio, continuing its effort to bring one-to-one decisioning to more customer journeys. These new additions focus on giving Marketers more control over AI-driven decisioning and agentic automation, while also ensuring clear governance over what agents do.
Self-service AI decisioning
Last year, Braze announced BrazeAI Decisioning Studio Pro, an agentic decisioning/personalization layer that uses reinforcement learning to determine the right channel, message, offer, timing, and frequency for individual customers. Reinforcement learning is a form of machine learning that continually learns what works best for the customer and adapts the experience accordingly. Agents in the Pro version of the Studio are highly customizable and configured by forward-deployed data scientists.
Braze has now announced an entry tier for Decisioning Studio called Decisioning Studio Go. It’s for marketing teams that want to replace static rules and manual AB testing. Marketers use...
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