Braze enhances AI tools for marketers

Braze, a top customer-engagement platform, announced three significant enhancements to its AI suite together with fresh conversational-AI features for messaging channels. The new tools are designed to enable marketers to extend 1:1 decisioning across additional customer journeys, automate essential campaign quality-assurance processes, and integrate Braze straight into the AI applications they already employ.

Braze has introduced three new tools to its AI suite: BrazeAI Decisioning Studio Go for self-service AI decision-making in customer journeys, Agentic Standards for automated campaign quality checks, and BrazeAI Operator Connect for seamless integration with headless workflows. These tools are currently in beta, with Decisioning Studio Go and Agentic Standards set to launch fully in October.

Bringing 1:1 AI Decisioning to Every Customer Journey

For years, 1:1 personalization has been one of marketing’s biggest ambitions and one of its hardest promises to deliver. Marketers know that each customer should receive individualized experiences, but the legacy approach of manually testing combinations of messages, timing, and frequency neither performs nor scales across an entire customer base. BrazeAI Decisioning Studio Go unleashes this frontier AI approach in a self-serve packaging with rapid time to value.

Decisioning Studio Go gives marketers access to self-service AI decisioning agents. Within guardrails set by marketers, these agents experiment to determine the message variant, time of day, day of the week, and frequency most likely to engage each recipient. A Decisioning Studio Go agent can test more than one billion combinations simultaneously, learning from and making personalized choices across massive consumer-scale audiences.

Decisioning Studio Go is currently in beta and is expected to become generally available on October 14, 2026. It puts 1:1 decisioning directly into marketers’ hands, moves beyond traditional A/B testing, and makes decisions at the individual level, optimizing message variants, including subject lines, creative, and calls to action, alongside timing, day, and frequency for each customer.

Giving Marketers the Confidence to Move Faster

BrazeAI is dramatically speeding up how marketers design, build, and deploy marketing programs. To keep the entire process moving, quality assurance must move just as fast. Agentic Standards introduces a new approach to quality assurance: An AI-powered review that can reason across campaign setup, copy, links, personalization logic, and compliance requirements before messages reach customers.

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Agentic Standards gives marketers the confidence to move faster and build more sophisticated programs. It evaluates every campaign and Canvas for issues across setup, copy, links, personalization, compliance, brand guidelines, and more, using rules marketers set once in Braze. The system flags issues with pass, warning, or fail reporting, and working with BrazeAI Operator, it can implement the fixes, with human sign-off wherever a brand wants it.

Josh Jones, Senior Manager, CRM AI Enablement at Sportsbet, said, “In a highly regulated industry like ours, QA is one of the most important things we do. Agentic Standards has already closed some of our biggest gaps, like catching missing unsubscribe links or eligibility segments, and it’s given us real confidence around consistency and compliance at scale.”

BrazeAI Operator Connect makes Braze headless, delivering its intelligence and capabilities directly into AI tools so teams can move from idea to execution without breaking the flow of work. Operator Connect extends BrazeAI Operator into the agentic tools marketers already use, including Claude, ChatGPT, Snowflake Cortex Code, and Microsoft Copilot, and other MCP-compatible tools.

BrazeAI Operator Connect is available in beta today and is designed to enable Braze intelligence wherever work happens, programmatic control of Braze, continuity between thinking and execution, and permission-aware agentic work.

Conversational Agents, launched today, enable brands to engage customers in responsive, context-aware conversations across WhatsApp, SMS, RCS, and web. These agents guide customers from discovery to purchase by answering questions, clarifying intent, and recommending products, ensuring on-brand interactions at scale.

Conversational Agents are available in beta today and will enable brands to equip agents with brand-specific guidelines, guardrails, and knowledge sources like product catalogs and FAQs, so every response is accurate and on-brand. The agents will interpret natural language alongside live customer context to recommend the exact right next step, going beyond pre-scripted messaging.