Sprinklr Launches Marketing AI Agents Beta to Help Enterprise Marketers Move from Insight to Action

Sprinklr (NYSE: CXM), the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), today announced the beta launch of Sprinklr Marketing AI Agents, a connected system of specialized AI agents designed for a marketing environment that has fundamentally changed.

Enterprise marketing teams increasingly struggle to understand three things: where to show up, how to show up, and when to act on fast-moving moments. A relevant conversation or trend may emerge and fade within days, while a traditional concept-to-launch process can take several weeks as work moves through planning, creative development, localization, channel activation, governance, and approvals. At the same time, marketers and agencies are being asked to support more markets, products, channels, languages, and content without proportional growth in resources.

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Sprinklr Marketing AI Agents are designed to address these pressures by adding an intelligence and execution layer across the marketing lifecycle, helping teams move from live signals to recommended action faster while keeping people in control of strategy, creativity, approvals, and brand decisions. They also reflect a broader shift toward an agentic customer experience, where specialized AI can work across shared context, workflows, and governance while people remain in control.

“Sprinklr was built to unify customer and market data across channels. Marketing AI Agents are the next evolution of that foundation,” said Karthik Suri, Chief Product & Corporate Strategy Officer at Sprinklr. “By connecting paid, owned, and earned data with emerging signals like AI discovery, creator insights, conversations, and customer feedback, we can help marketers do more than understand what’s happening. We can help them turn that intelligence into effective marketing at global scale. That’s part of a broader evolution of Sprinklr: bringing together data, intelligence, workflows, and AI agents so enterprises can move from understanding the customer to taking the right action faster.”

Built for a Faster, More Complicated, and Fragmented Marketing Environment

Enterprise campaign development often requires work to pass through planning, creative, localization, channel activation, governance, and approvals. Sprinklr Marketing AI Agents connect intelligence and execution across these stages, helping teams compress the path from idea to activation while retaining human oversight at key decision points.

The agents can work together across or be deployed for specific needs:

• Sprinklr Ideation Agent – Plan. Connects performance, listening, audience, competitive, web, and other signals to surface relevant campaign ideas and recommend adjustments to content already planned or scheduled as market conditions change.
• Sprinklr Creative Agent – Create and Adapt. Helps teams scale approved creative through editing, variations, localization, and A/B testing while using brand and campaign context. The emphasis for enterprise teams is on extending approved ideas and assets, not replacing the human creative spark.
• Sprinklr Campaign Execution Agent – Execute. Interprets media briefs and plans and translates them into campaigns, audiences, and creative across channels. It can identify inconsistencies, such as a mismatch between a target market and creative language, and connect with compliance checks before launch.
• Sprinklr Compliance Agent – Govern. Checks content against brand standards, organizational policies, regulatory and channel requirements, and relevant market context. It can automate repeatable checks at scale and flag exceptions for human review before activation.
• Sprinklr Community Agent – Engage. Helps brands identify the conversations that matter and respond at scale with context and guidance tailored to each channel.
• Sprinklr Budget Optimization Agent – Optimize. Uses campaign objectives and performance to recommend how budget can be allocated across channels before launch and adjusted while campaigns are running.

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Together, these capabilities are intended to help marketers identify relevant moments sooner, scale and localize content, reduce repetitive campaign-building work, strengthen governance, and make more informed budget decisions across channels.

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