Sprinklr used its Q1 fiscal year 2027 earnings call to make a blunt point: enterprise CX teams are moving on from survey-only tooling, and they are moving fast. The company reported multiple major displacements of legacy feedback platforms, including one replacement completed in three weeks at a large telecom provider.
That speed matters more than the usual earnings call numbers. It suggests buying committees are no longer debating whether to unify customer signals, they are debating which platform can do it credibly, at scale, with AI embedded rather than bolted on.
For years, survey tools sat at the center of many voice-of-the-customer programs, even when they produced partial or delayed insight. Sprinklr’s call positioned that era as over, replaced by a model where structured feedback, digital interaction data, social signals, and contact center conversations are analyzed together.
The company pointed to two displacement wins that will resonate with CX leaders. One was a seven-figure deal that closed in four weeks. Another involved ripping out a legacy survey platform at a major telecom provider in just three weeks.
In both cases, the story is less about one vendor beating another and more about the market rejecting fragmented CX stacks. Ragy Thomas, Founder and CEO at Sprinklr, framed the shift as an enterprise push to consolidate and modernize customer experience operations:
"Our customers are rapidly consolidating their CX tech stacks, moving away from point solutions to unified platforms."
The implication for enterprise buyers is uncomfortable but useful. If your program is still anchored to survey data while the rest of the customer reality lives in chats, calls, posts, and videos, you are optimizing for the easiest signal, not the most truthful one.
AI Containment Is Becoming a Revenue Metric, Not Just an Efficiency Metric
Sprinklr also used the call to underline that automation is no longer a back-office story. The company shared operational performance metrics that, if replicated, would reshape how CX leaders justify investment.
It cited a 90% containment rate with AI agents and a 55% to 70% reduction in handling times for customers using full copiloting. It also described automating over 85% of pre-sales conversations, while claiming those AI-led engagements are producing 4x higher conversion rates. Thomas highlighted the scale of automation the company is seeing in production environments: