Agentic AI Market Size Drives Enterprise Shift Globally

NASSCOM AI Adoption Surge Accelerates Agentic AI Industry Update

MUMBAI, India — May 18, 2026 — Indian enterprises are rapidly shifting from passive AI advisory systems toward agentic AI platforms capable of autonomously executing complex operational workflows, according to a recent Economic Times CIO report citing the NASSCOM AI Adoption Index.

The report reveals that 87% of Indian enterprises are actively using AI solutions, highlighting a significant acceleration in enterprise automation strategies. Industry analysts view the transition as a defining shift in how organizations deploy artificial intelligence across finance, procurement, logistics, and supply chain operations.

Agentic AI Expands Beyond Recommendations

Unlike traditional AI systems that primarily generate alerts or recommendations, agentic AI platforms are increasingly being deployed to independently perform multi-step operational tasks.

Examples outlined in the report include:

• Autonomous placement of purchase orders

• Shipment tracking and logistics coordination

• Real-time inventory system updates

• Automated downstream invoicing and notifications

• End-to-end order-to-cash workflow management

• AI-driven accounts payable processing

According to analysts at Next Move Strategy Consulting, enterprises are now prioritizing AI systems that can directly execute operational decisions while reducing dependency on manual oversight.

“The market is moving toward Agentic AI systems capable of completing full operational cycles rather than simply assisting human teams,” noted a senior analyst at Next Move Strategy Consulting. “This evolution is expected to reshape enterprise automation investment priorities globally.”

Integration Challenges Become a Critical Barrier

While the momentum behind agentic AI continues to strengthen, the report emphasizes that legacy enterprise infrastructure remains a major challenge for large-scale deployment.

Industry experts describe this obstacle as “enterprise debt,” referring to fragmented systems, disconnected workflows, and inconsistent data environments that limit seamless automation.

Technical priorities increasingly include:

• ERP and CRM integration frameworks

• Workflow orchestration and state management

• Secure credential handling systems

• Auditability and rollback mechanisms

• Observability tools for autonomous AI actions

Analysts note that successful adoption depends heavily on an organization’s ability to unify structured data, operational processes, and tacit institutional knowledge into reliable execution frameworks.

Governance and Trust Take Center Stage

As AI systems transition from advisory roles into active operational participants, enterprises are also reevaluating governance, compliance, and oversight strategies.

The report highlights growing emphasis on human supervision, exception management, and policy control as organizations balance automation speed with financial, regulatory, and cybersecurity safeguards.

Market observers expect increased demand for AI orchestration platforms, observability tools, and enterprise-grade compliance frameworks as adoption expands across mission-critical operations.

Enterprise Automation Enters a New Phase

The rise of agentic AI signals a broader transformation in enterprise technology, where intelligent systems increasingly function as autonomous operational agents rather than analytical assistants.

Industry analysts believe this shift could redefine enterprise productivity models over the coming years, particularly in sectors pursuing large-scale digital transformation and intelligent workflow automation.

Source: Economic Times CIO

Prepared By: Prakhyat Chowdhury