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Why Enterprise AI Fails at Scale
Kore.ai today announced the launch of its Agent Management Platform (AMP), a centralized command center built to help enterprises govern, monitor and control AI agents deployed across their organizations — a direct response to what analysts are calling an accelerating crisis of unmanaged AI proliferation in the enterprise.
The Orlando-based company, which serves over 500 Global 2000 clients, claims AMP is part of a new operational category: a unified layer through which businesses can manage AI systems regardless of where or how those systems were built. The platform integrates with a broad range of leading agent frameworks and vendor ecosystems, including LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry and Salesforce Agentforce, as well as proprietary systems.
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The 'AI Sprawl' Problem
There's a growing urgency around what Kore.ai describes as "AI sprawl" — the proliferation of dozens of disconnected AI initiatives across different teams, tools and cloud environments, with little central visibility or control.
The problem is already well-documented. According to McKinsey & Company's 2025 State of AI report, 88% of organizations reported regular use of AI in at least one business function, up from 78% the previous year — a rate of adoption that has outpaced many organizations' ability to govern it. A Deloitte survey of 3,235 senior leaders found that only one in five companies has a mature model for governance of autonomous AI agents, despite agentic AI usage poised to rise sharply in the near term.
Adding urgency to the governance gap, Gartner projects that by the end of 2026, 40% of enterprise applications will inherently feature task-specific AI agents — a substantial increase from less than 5% in 2025. Managing the resulting complexity, analysts note, will require sophisticated orchestration and governance frameworks that most enterprises do not yet have in place.
What AMP Does
Kore.ai's Agent Management Platform consolidates AI observability, governance enforcement, performance monitoring and value measurement into a single interface. Enterprises can use it to track AI performance and costs, enforce governance policies consistently, detect model drift or anomalies and tie AI initiatives to measurable business outcomes.
Two capabilities distinguish AMP from existing governance solutions, according to Kore.ai:
- It offers a pre-production evaluation studio that allows enterprises to test agent behavior and workflows before deployment — a feature designed to reduce the uncertainty that often accompanies agentic AI rollouts.
- Unlike governance tools from large established vendors — which the company says are typically limited to their own ecosystems — AMP is designed to work across heterogeneous, multi-vendor environments.
"AI agents are rapidly becoming the new software workforce inside enterprises," said Prasanna Arikala, CTO and head of products at Kore.ai. "But without centralized governance, enterprises risk losing visibility and control over how AI operates across the organization." The Agent Management Platform, he explained, introduces a new operational layer that gives leaders the ability to manage AI agents with the same discipline, transparency and accountability as any other critical business system.
A Regulatory Tailwind
The launch also comes as the regulatory environment around enterprise AI continues to tighten. The EU AI Act, adopted in 2024 and being phased in through 2026, represents the world's first comprehensive AI regulation, with high-risk AI system rules taking full effect later this year and fines for non-compliance reaching up to €35 million or 7% of global annual turnover. For multinational enterprises, that regulatory pressure adds urgency to getting governance infrastructure in place.
"AI is quickly becoming core infrastructure for how enterprises operate," said Raj Koneru, CEO and founder of Kore.ai. "But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability." With AMD, he added, enterprises can turn AI from isolated experiments into trusted, enterprise capabilities that deliver real business value.
Kore.ai, which holds a strong patent portfolio in the AI space and has been recognized by major analysts as a leader in enterprise AI, said AMP is available now.