Kore.ai Unveils Platform to Tackle Enterprise AI Sprawl
Kore.ai has launched its Agent Management Platform (AMP), a software layer designed for governing and monitoring AI agents across large organizations as deployments multiply and become harder to manage.
Many enterprises now run AI agents across various business units, development teams, and cloud environments. This spread can leave central technology and risk functions without a clear view of what is running, what it costs, or which controls apply. Industry analysts have termed this trend “AI sprawl.”
The Need for Centralized Control
According to Gartner, it is forecasted that enterprises will operate thousands of AI agents across business functions within the next few years. This shift raises operational questions regarding policy enforcement, auditability, performance monitoring, and how to effectively measure business outcomes.
Kore.ai positions AMP as a single control layer across these deployments, describing it as a unified command centre for AI agents and related AI systems within an enterprise.
Features of the Agent Management Platform
AMP is designed to work across different agent frameworks, cloud providers, and development environments. Kore.ai lists support for various systems including LangGraph, CrewAI, and AutoGen, as well as Google ADK, AWS AgentCore, Microsoft Foundry, and Salesforce Agentforce.
The platform consolidates observability, governance controls, performance monitoring, and value measurement into one layer. Kore.ai presents it as a way for organizations to transition from decentralized experimentation to more standardized deployment practices.
Visibility and Monitoring
A key focus of AMP is visibility into what agents do and how they behave over time. In many organizations, deployments begin as team-level initiatives in areas such as customer service, IT support, sales operations, finance, and software engineering. Over time, separate toolchains and model choices can emerge, complicating oversight for security teams and internal audits, particularly when agents handle sensitive data or trigger downstream actions in enterprise systems.
Evaluation and Interoperability
Kore.ai highlights an evaluation studio as a core component of AMP, designed to help teams test agent behavior, workflows, and outcomes before deploying agents into production. The company emphasizes interoperability, as many governance tools are tightly coupled to a single vendor environment, whether a cloud provider, application platform, or model ecosystem. AMP is positioned for mixed environments where organizations utilize multiple clouds and agent frameworks.
Cost Oversight and Governance
Cost oversight is becoming a practical concern as AI agents can drive variable usage depending on volumes, model selection, prompts, tool calls, and how often systems are retrained or evaluated. Kore.ai asserts that AMP can assist enterprises in tracking performance and costs, applying governance policies consistently, and detecting anomalies or drift. It also enables organizations to link AI initiatives to measurable business outcomes.
Enterprise Oversight and Lifecycle Management
Organizations are formalizing AI governance frameworks, often involving the CIO, CISO, compliance teams, and business owners. Agent-based systems add complexity because they can chain actions across multiple tools and datasets, making it harder to trace the path from an initial user request to an automated action, especially when multiple models or third-party components are involved.
Kore.ai’s strategy targets this operational gap by treating AI agents as assets that require lifecycle management, policy controls, and ongoing monitoring, similar to other business-critical software.
Industry Insights
Prasanna Arikala, CTO and Head of Products at Kore.ai, remarked that agent adoption has accelerated, creating a management challenge. “AI agents are rapidly becoming the new software workforce inside enterprises,” Arikala stated. “But without centralized governance, enterprises risk losing visibility and control over how AI operates across the organization. The Agent Management Platform introduces a new operational layer for enterprise AI, giving leaders the ability to manage AI agents with the same discipline, transparency, and accountability as any other critical business system.”
Raj Koneru, CEO and founder of Kore.ai, linked the launch to AI’s transition from pilot programs into mainstream operations. He noted that many enterprises have advanced beyond chatbots and single-purpose automation to agent-driven workflows that span departments and systems, increasing the necessity for governance, monitoring, and accountability across a growing set of deployments.
“AI is quickly becoming core infrastructure for how enterprises operate,” Koneru commented. “But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability. With the Agent Management Platform, we are helping enterprises transform AI from isolated experiments into a trusted enterprise capability that delivers real business value.”
AMP is designed for multi-agent environments and heterogeneous AI ecosystems, providing a central foundation for governing AI adoption as it expands across an organization.
