Braze launches AI tools for campaign decisioning and external LLM access
Braze announced three new AI tools at its Forge conference in Las Vegas, aiming to expand its capabilities from content generation to full campaign operations. The first tool, BrazeAI Decisioning Studio Go, offers a self-service version of the company's existing enterprise-tier Decisioning Studio Pro. While the Pro version requires dedicated data science resources to deploy reinforcement…
What you can do with it
AI at Work →Test creative variations with BrazeAI Decisioning Studio Go
What you get You can improve click-through rates.
Calculates best email variations for each recipient in real time.
- Who for
- marketers
- Cost
- Price not stated
- Effort
- minutes
Use it for
- Optimize email subject lines
- Test creative variations
- Improve click-through rates
How to set it up · From the article
- Set up core variables like creative, subject lines, and CTAs
- Let the AI calculate optimal combinations for recipients
- Monitor real-time engagement data for automatic refinement
Watch out Currently in beta; general availability starts Oct. 14, 2026
Key points from the news
- BrazeAI Decisioning Studio Go democratizes AI decisioning for email, launching generally on Oct. 14, 2026.
- Agentic Standards uses LLM agents to automate campaign QA, compliance checks, and brand standard audits.
- Operator Connect uses MCP to let external LLMs like Claude configure Braze campaigns directly.
The second announcement, Agentic Standards, uses autonomous agents powered by large language models to handle quality assurance and compliance checks. Marketers define brand and regulatory rules, and the agents audit campaign journeys, providing logs and automatically executing corrections. This shifts AI from a content generator to a backend reviewer, reducing manual workload for teams. This product is also expected to reach general availability in October.
The third tool, Operator Connect, integrates Braze’s native AI assistant with external environments using the Model Context Protocol (MCP). This allows marketers to use external LLMs, such as Claude, to configure campaigns and build predictive models directly within Braze. For example, a user can instruct an assistant in Claude to build a campaign structure, which the system then sets up in Braze for final review. This "headless" approach lets teams work in their preferred interfaces without switching contexts.
Braze expands AI from content creation to campaign operations
MarTech · 29 September 2026
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