Relanto launches enterprise governance platform for AI agents

Relanto on June 17 unveiled R-LiveMeasure, a governance platform built to help enterprises monitor, evaluate and improve AI agent deployments inside their own environments. The launch targets a fast-growing gap in enterprise AI: the need for visibility, accountability and control as agents move from pilots into production. Why it matters: - Enterprises are moving AI agents into production, but many lack the governance tools needed to manage them at scale. - R-LiveMeasure is built to give organizations visibility into agent behavior, support compliance and accountability, and tie AI operations to business outcomes. - The platform is aimed at business-critical functions where errors, risk and oversight matter most. What happened: - Relanto announced R-LiveMeasure on June 17, 2026. - The platform was developed by Relanto’s AI-First Lab, the company’s center for AI research, intellectual property and product development. - Relanto describes itself as an AI-first global advisory, consulting and services company. The details: - R-LiveMeasure is designed to serve as a system of record for enterprise AI operations. - The platform runs within an organization’s own environment. - It captures every interaction, decision, tool invocation, workflow execution, agent handoff and human intervention as an auditable record. - The platform includes five core capabilities: - End-to-end observability tracks agent interactions, decisions, tool calls and workflow execution. - Context-aware evaluation measures performance against enterprise policies, business rules and operational context. - Human-in-the-loop governance supports expert review for high-risk decisions and collects feedback for improvement. - Business KPI alignment connects agent performance to business outcomes, risk metrics and operational goals. - Lifecycle governance folds evaluation into the Agent Development Lifecycle to improve quality and reliability over time. - Relanto says the platform is deployed inside the customer environment, configured to the customer’s governance policies and owned outright after transition. - The setup keeps interaction data, governance policies, evaluation logic and audit records under enterprise control. - Relanto says the platform is intended to support the security, compliance and accountability needs of large-scale AI deployments. - The company included a contact link for more information: More information . - Relanto’s social links in the release point to LinkedIn , Instagram , YouTube and X . Between the lines: - The launch reflects a broader shift in enterprise AI from experimentation to operational oversight. - Relanto is positioning governance as the differentiator for organizations that want AI agents to become durable business assets rather than isolated automation tools. - The platform also suggests enterprises may be looking for ways to standardize review, monitoring and feedback across different agent deployments. What’s next: - Relanto says R-LiveMeasure will help organizations transform agent activity into organizational intelligence while maintaining visibility, accountability and trust. - The company is pitching the platform as infrastructure for the next phase of enterprise AI adoption. - Broader adoption will depend on whether enterprises can integrate the platform into existing governance, security and operating workflows. The bottom line: - Relanto is betting that the next AI race will be won not by deploying more agents, but by governing them better.