“The challenge today isn’t collecting data\u2014it’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. This helps enable brands to act in real time, while staying in control where it matters most.” <\/p>\n
Sprinklr Summer ’26 Feature Breakdown<\/p>\n
The release spans customer intelligence, AI-assisted decision-making, execution tools and platform connectivity.<\/p>\n
Capability<\/p>\n
Description<\/p>\n
LLM Insights<\/p>\n
Helps brands track visibility in AI-powered search results<\/p>\n
ViralMoment Analytics<\/p>\n
Extends listening to video via frame-by-frame AI analysis<\/p>\n
Next-Gen Voice AI Agents<\/p>\n
Targets sub-second response with natural conversation handling<\/p>\n
Sprinklr MCP (Beta)<\/p>\n
Surfaces Sprinklr data in Microsoft Copilot, ChatGPT and Claude<\/p>\n
Adobe CJA Integration<\/p>\n
Unifies cross-channel performance views without manual data work<\/p>\n
Sprinklr’s Roadmap and Vision <\/p>\n
Sprinklr closed fiscal 2026 with revenue of $857.2 million, up 8% year-over-year, and non-GAAP operating income more than doubled to $146.2 million. ARR from generative AI-native Service SKUs grew 50% year-over-year.<\/p>\n
In May, Sprinklr acquired ViralMoment<\/a>, an AI-powered social video intelligence company whose frame-by-frame analysis extends Unified-CXM into video, audio, image and text \u2014 addressing a gap in largely text-centric voice of the customer<\/a> programs.<\/p>\n The vendor also disclosed the largest software deal in its history<\/a> with an unnamed global consumer electronics customer spanning Social, Marketing, Insights and Service.<\/p>\n AI-Native CX: From Signal to Action<\/p>\n AI-native customer experience<\/a> platforms now embed intelligence directly into workflows, converting customer signals into automated action without routine human handoffs.<\/p>\n Unified Profiles Over Tickets<\/p>\n The architectural shift driving measurable outcomes is organizing around the customer rather than the queue. Context gaps are costly: 89% of customers report frustration<\/a> when forced to repeat information across channels, with satisfaction reaching 67% in unified environments versus 28% in disconnected ones.<\/p>\n Governed AI & Human Escalation<\/p>\n Governance is built into these architectures, not bolted on. GetVocal’s approach constrains LLMs through business logic with real-time monitoring and human escalation paths \u2014 a model increasingly standard across enterprise deployments.<\/p>\n Real-Time Analytics & Marketing Integration<\/p>\n AI now processes call transcripts, chat logs, reviews and feedback to detect sentiment and friction in real time. The Medallia-Adobe partnership, serving more than 150 joint customers<\/a>, combines experience management data with customer journey analytics<\/a> for real-time sentiment response and personalized campaign execution.<\/p>\n
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