Kore.ai launches platform to tackle enterprise AI sprawl

Kore.ai has launched an Agent Management Platform designed to give organisations a central way to govern, monitor and manage AI agents and related AI systems across the enterprise.

The release comes as companies move beyond pilots and single-team experiments. Many large organisations now run multiple agent projects across business units and technical stacks, increasing the need for consistent policy controls, operational visibility and outcome measurement.

Kore.ai positions the new platform, known as AMP, as a unified command centre focused on governance, observability and operational management for AI agents, including systems built by different teams using different tools.

Managing "AI sprawl"

Industry analysts use the term "AI sprawl" to describe a proliferation of initiatives spread across teams, tools and cloud services without shared oversight. Gartner has forecast that by 2028 enterprises will operate thousands of AI agents across business functions, increasing the focus on centralised management and policy enforcement-especially where agents can take actions or trigger workflows across corporate systems.

AMP is intended to act as a single operational layer across heterogeneous AI environments. Kore.ai lists support for a range of agent frameworks and ecosystems, including LangGraph, CrewAI and AutoGen, and says it is compatible with Google ADK, AWS AgentCore, Microsoft Foundry and Salesforce Agentforce, alongside proprietary systems.

The platform brings several operational functions into one place, including observability, governance enforcement, performance monitoring and value measurement. Kore.ai frames this as a shift from fragmented experimentation to controlled deployment at scale.

Evaluation and controls

Kore.ai points to two areas it says distinguish AMP. One is an evaluation studio for testing agent behaviour, workflows and outcomes before production deployment. The other is breadth across tools and environments-an "agnostic" approach intended to accommodate multiple frameworks, clouds and development environments.

Enterprises often struggle to standardise governance across AI projects because teams choose tools based on immediate needs, which can vary by department and vendor relationships. A central management layer can reduce the number of separate dashboards and monitoring practices that emerge across an organisation.

According to Kore.ai, AMP provides a unified control plane for tracking performance and costs. It also includes policy enforcement and monitoring designed to detect anomalies or drift, which can occur as model behaviour changes over time or as data conditions shift. The platform also aims to link AI activity to measurable business outcomes, a persistent requirement for executive oversight of AI programmes.

Prasanna Arikala, CTO and Head of Products at Kore.ai, said governance has not kept pace with the rapid rise of agent systems inside companies.

"AI agents are rapidly becoming the new software workforce inside enterprises. 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."

Vendor landscape

The market for agent governance and management is evolving alongside rapid adoption of agent-building frameworks and orchestration tools. Large cloud and software providers increasingly offer native features tied to their own platforms, while independent vendors are pushing cross-platform layers designed to sit above multiple ecosystems.

Kore.ai is positioning AMP as a platform that connects to agents and systems built in different environments. It argues this breadth matters in large organisations where agent development is distributed across divisions and teams, and where governance typically combines policy design, tooling integration and ongoing monitoring.

Kore.ai also sells agentic applications and an enterprise AI platform. The company says it works with more than 500 Global 2000 companies and partners. It is headquartered in Orlando and has offices in several regions, including India and the UK.

Raj Koneru, CEO and Founder of Kore.ai, said the company views governance and accountability as essential to scaling agent deployments across the enterprise.

Kore.ai also highlighted Koneru's participation in the AI Impact Summit as a board member of the U.S.-India Strategic Partnership Forum, where he was part of a delegation that met the Hon'ble Prime Minister.

"AI is quickly becoming core infrastructure for how enterprises operate. But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability. With the Agent Management Platform, we are helping enterprises turn AI from isolated experiments into a trusted, enterprise capability that delivers real business value."