Orchestrating the Agentic Enterprise

Bridge the trust gap and discover how enterprise orchestration is turning autonomous AI agents into a strategic reality.

Investment in AI is reaching record highs, yet many organizations are struggling to move past simple pilot programs. The reason? A significant trust gap. According to new research from Harvard Business Review Analytic Services, a staggering 94% of organizations do not yet fully trust AI agents to handle their most critical end-to-end processes.

This exclusive report, "From the Edge to the Core," explores the emergence of the "Agentic Economy." It reveals how leading enterprises are using orchestration to provide AI agents with the context, data, and guardrails they need to operate autonomously and reliably.

Key Highlights:

The Trust Gap: Only 6% of respondents fully trust agentic AI to manage autonomous end-to-end core processes.

The Rise of Agentic AI: A shift from generative AI that "speaks" to agentic AI that "acts" and executes tasks.

Enterprise Orchestration: 74% of organizations are implementing orchestration as the foundation for predictable AI behavior.

From Edge to Core: AI is moving from peripheral use cases (summarization/email) to heart-of-the-business functions (supply chain/finance).

Data Quality Imperative: High-quality, real-time data access is cited as the #1 requirement for effective AI agents.

The "Stochastic" Challenge: Addressing the unpredictable nature of AI models through deterministic guardrails and logic.

Rewiring the Organization: Success requires a fundamental change in how people, processes, and technology interact.

Human-in-the-Loop: The essential role of human oversight in maintaining trust and handling complex edge cases.

Security and Governance: Built-in security and "AI-ready" governance frameworks are mandatory for enterprise-wide adoption.

The Value Gap: Distinguishing between companies that "experiment" and those that "scale" to capture true economic value.