Agentic AI shifts enterprise systems from advisory to execution

Per an Economic Times CIO article, businesses are transitioning from passive, advisory AI to agentic AI that can autonomously execute complex, multi-step operational processes. The article cites the NASSCOM AI Adoption Index, reporting 87% of Indian enterprises are actively using AI solutions. The piece frames agentic systems as capable of completing end-to-end tasks such as placing purchase orders, tracking shipments, updating inventory systems, and managing downstream notifications and invoicing, rather than only flagging conditions for human action. The article also highlights the role of integration work and "enterprise debt" in determining real-world effectiveness.

Companies moving toward agentic automation typically need stronger data and process integration than advisory systems require. Observed patterns include the need for durable connectors between ERPs, CRMs, and logistics systems; state management for long-running workflows; and robust monitoring and rollback mechanisms. Instrumentation for auditability and secure credential handling are common technical priorities when an AI agent is permitted to take actions that affect financial or operational state.

Industry observers note that shifting from advice to action raises governance and trust requirements. With agents performing operational work, teams often reallocate human effort toward oversight, exception handling, and policy definition, rather than routine execution. At the same time, legacy system complexity and fragmented data frequently become the gating factor for value capture from agentic automation.

Indicators to follow include vendor features for agent orchestration and observability, adoption metrics for end-to-end automation use cases such as procure-to-pay and order-to-cash, incidents or audit findings tied to autonomous actions, and tooling that simplifies mapping tacit human knowledge into machine-executable policies. Practitioners will also monitor how organisations reconcile speed of automation with controls required by finance, compliance, and security functions.