Sprinklr Released Autonomous Evaluation Tools in 2026
The enterprise software firm launched new AI validation features to address performance and governance risks.
Updated on Sept. 20, 2026 in Artificial Intelligence
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In its 2026 Spring and Summer updates, Sprinklr released Autonomous Evaluation tools designed to help enterprises simulate and monitor AI agent behavior. These tools allow companies to test performance against configurable metrics to ensure accuracy and compliance.
Why it matters
Enterprises increasingly require proof that AI agents remain safe when making decisions regarding customer refunds, authentication, and service escalations. Rigorous oversight is essential to avoid governance gaps that could lead to widespread agent decommissioning.
Autonomous Evaluation utilizes a five-step workflow involving scenario generation, bulk testing, and AI telemetry to validate performance logs. Sprinklr reported FY2026 revenue of $857.2 million alongside $1.04 billion in remaining performance obligations.
The players
Sprinklr
Sprinklr is a publicly traded enterprise software company that specializes in customer experience management and AI-driven business solutions.
Gartner
Gartner is a global research and advisory firm that provides strategic insights into technology trends and enterprise software adoption.
UK Competition and Markets Authority
The UK Competition and Markets Authority is the government body responsible for enforcing regulations related to business competition and consumer protection in the United Kingdom.
Metrigy
Metrigy is an analyst firm that conducts research on the performance of communications and customer experience technologies in global organizations.
The details
The software enables companies to configure agents, create scenario sets, and run simulations to review results in real-time. This approach replaces manual trust in AI systems with a structured, explainable process for verifying performance before and during deployment.
Timeline
March 2026: The UK Competition and Markets Authority published regulatory guidance for AI monitoring.
April 2026: Metrigy released industry research regarding the efficacy of AI assurance tools.
May 2026: Gartner published its forecast regarding the decommissioning of autonomous agents.
June 2026: Sprinklr finalized its initial releases of the testing tools.
The Tech Race
The development of testing tools marks a transition from testing AI agents manually to a system of pre-deployment validation and ongoing telemetry. This mirrors the trajectory of the UK Competition and Markets Authority requirements, forcing software providers to build auditability directly into their customer service stacks.
Enterprises using these tools may experience fewer service errors and more reliable responses during customer interactions. For users, this means automated support sessions are more likely to be accurate, compliant, and result in fewer unnecessary handovers to human agents.
The takeaway
Companies should implement automated testing workflows to ensure AI agents meet safety standards and avoid the risks associated with governance failures. Proactive simulation can prevent operational disruptions and maintain customer trust in automated support systems.
Further reading
Learn more about the latest developments in Artificial Intelligence.
Source note: This article includes information reported by CX Today.
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