Sprinklr (NYSE: CXM), the AI-native Unified Customer Experience Management platform, announced its Summer '26 Release today, introducing artificial intelligence capabilities designed to help organizations turn customer signals into real-time decisions and actions across marketing, service, and voice of the customer. For customer support teams, this shift means moving beyond static dashboards to systems that interpret signals and drive immediate resolutions, addressing the bottleneck where insight alone is no longer enough.
"The challenge today isn't collecting data-it's knowing what matters and acting on it quickly," said Karthik Suri, Chief Product and Corporate Strategy Officer at Sprinklr. "With this release, we're helping organizations move from signals to decisions and from conversations to resolutions by combining agentic AI for autonomous resolutions with copilot support for human-assisted ones."
The updates reflect a growing emphasis on AI for Customer Support that moves from analysis to action. Companies are no longer competing on data access but on the speed of turning data into outcomes.
Deeper understanding of customer signals
Sprinklr now brings together richer sources of customer insight. With LLM Insights, teams can track how their brand appears in AI-powered search results, optimizing for AI Engine Optimization (AEO) and Generative Engine Optimization (GEO). The acquisition of ViralMoment adds video analytics, so brands can understand what customers say, show, and share. An expanded CreatorIQ integration provides influencer data alongside paid and organic performance.
Next-generation Voice AI agents now work alongside Sprinklr's digital and social care agents, enabling consistent, real-time customer interactions across channels. In-channel, voice-enabled surveys capture more authentic, contextual feedback directly where conversations happen.
Faster decision-making with AI
Sprinklr Copilot can now summarize campaigns, analyze publishing calendars, and extract insights from reporting. For service teams, built-in automated statistical analysis within CFM Copilot instantly identifies what factors are driving survey outcomes, eliminating manual data work. AI-driven analysis of trending content and conversations across platforms helps teams prioritize the signals that are most likely to impact brand performance.
Faster execution across marketing and service
AI-powered content tools within Copilot enable marketers to generate and refine social posts and even create videos using natural language prompts. Enhancements to TikTok Smart+ campaigns provide greater control over audiences, creative optimization, and performance outcomes.
In customer service, next-generation Voice AI agents exemplify the power of AI Agents & Automation, delivering more human-like conversations with sub-second response times, smarter turn-taking, and improved noise handling to resolve issues faster.
Built-in testing, simulation, and quality scoring help organizations validate AI agent behavior before deployment and maintain consistency in live interactions.
Why this matters for customer support
Customer support teams can now deploy AI voice agents that handle complex interactions with human-like conversation, sub-second response times, and better noise handling, reducing the need for manual intervention. Automated statistical analysis in CFM Copilot eliminates the manual work of identifying survey outcome drivers, allowing teams to act on insights faster. Combined with in-channel voice surveys, support leaders gain a more complete, real-time view of customer sentiment without relying on delayed, out-of-channel feedback.
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