Braze Announced Three New AI Marketing Tools

The company unveiled automated marketing solutions during its Forge conference in Las Vegas.

Updated on Sept. 29, 2026 in Artificial Intelligence

Isometric editorial illustration of interlocking geometric blocks, representing streamlined digital marketing automation processes. — Braze unveiled three new AI-driven marketing automation tools, including Decisioning Studio Go and Agentic Standards, during its Forge conference in Las Vegas. AI Illustration. Upload story photo >

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Do you trust AI to manage brand communications and customer engagement without human oversight?

Braze debuted three artificial intelligence tools designed to automate marketing tasks and lower technical barriers. The new suite includes Decisioning Studio Go, Agentic Standards, and Operator Connect.

Why it matters

These tools aim to streamline repetitive workflows for marketers while providing direct access to automated compliance and individualized decisioning.

Decisioning Studio Go uses reinforcement learning to calculate optimal combinations of 8 emails, 25 subject lines, 10 CTAs, and 5 images for recipients. Operator Connect leverages Model Context Protocol to integrate platform features into external AI environments.

The players

Braze

Braze is a customer engagement platform that provides tools for brand-to-consumer messaging and marketing automation.

The details

Decisioning Studio Go, which is currently in beta, optimizes email click-through rates by identifying the most effective content combinations. The new offerings are designed to reduce technical hurdles by integrating directly with external AI workspaces.

The tools were announced in September 2026 at the Forge conference.
Decisioning Studio Go reaches general availability on Oct. 14, 2026.
Agentic Standards will reach general availability in October 2026.

The Tech Race

The integration of Model Context Protocol represents a broader industry shift toward standardizing how software platforms interface with generative AI. This move positions the platform to compete by automating connections that previously required custom technical development.

Marketing professionals can expect reduced manual workloads and improved content performance through automated reinforcement learning. The tools lower technical barriers for teams aiming to provide individualized customer experiences without extensive custom coding.

The takeaway

Marketing teams should evaluate how automated decisioning tools can replace manual A/B testing processes to save time. Focusing on standardized protocols like Model Context Protocol can help businesses prepare for deeper integration with future AI ecosystems.