An enterprise governance platform to monitor, evaluate, and continuously improve the deployment of AI agents across business-critical functions.
Relanto, an AI-first global advisory, consulting, and services company, announced the launch of R-LiveMeasure™, an enterprise governance platform designed to help organizations manage, monitor, evaluate, and continuously improve the deployment of AI agents across business-critical functions. Developed by AI-First Lab, Relanto’s global center for AI research, IP, and product development, R-LiveMeasure™ addresses a key challenge in enterprise AI deployments: creating the governance and oversight capabilities needed to scale AI agents with visibility, accountability, and control.
As AI becomes pervasive across the enterprise and AI agents move from experimentation to production, organizations must build the governance infrastructure needed to responsibly manage and scale their digital workforce. Just as businesses have long relied on systems for accountability, performance measurement, feedback, and continuous development to improve human work, similar frameworks are now needed to ensure that AI agents operate reliably and transparently at enterprise scale.
R-LiveMeasure™ is designed to serve as a system of record for enterprise AI operations. It operates within an organization’s unique environment and captures every interaction, decision, tool invocation, workflow execution, agent handoff, and human intervention as a unified, auditable record.
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The platform provides five key foundational capabilities needed to manage AI agents at enterprise scale.
• End-to-end observability: Track all agent interactions, decisions, tool calls, and workflow executions as a unified, auditable record.
• Context-aware assessment: Assess performance against company-specific policies, business rules, and operational context.
• Human-involved governance: Enables structured expert review of high-risk decisions while gathering feedback for continuous improvement.
• Align business KPIs: Connect agent performance directly to business outcomes, risk metrics, and operational goals.
• Lifecycle Governance: Integrate assessment and governance into the agent development lifecycle to continuously improve agent quality and reliability.
R-LiveMeasure™ is delivered as an enterprise platform that organizations deploy within their own environments, configure according to their governance policies, and then fully own after migration. This approach ensures that agent interaction data, governance policies, evaluation logic, and audit records remain under enterprise control and aligned with security, compliance, and accountability requirements for large-scale AI deployments.
“Enterprises have a competitive advantage in not only proving the value of their AI agents, but also managing them at scale, with the visibility, accountability, and operational discipline they expect from mission-critical strategic business assets. The R-LiveMeasure™ platform is built to provide that governance foundation.” said Rajan Gaur, Chief Executive Officer, Relanto.
“The most successful companies are not determined by the number of AI agents they deploy, but by how they intentionally design for scaling, early identification of constraints, and long-term monitoring and improvement. R-LiveMeasure™ helps organizations embed that capability into the way they operate AI to unlock long-term business value.” said Yeshwant Nayak, Chief Operating Officer, Relanto.
R-LiveMeasure™ provides the operational backbone for the next stage of enterprise AI adoption, helping organizations transform agent activity into organizational intelligence while maintaining visibility, accountability, and trust.
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