infotechlead

Enterprises embrace Agentic AI: Strategic shifts and opportunities for tech vendors

Nearly half of Indian enterprises are now piloting agentic AI solutions, marking a pivotal evolution in how businesses approach automation, workforce enhancement, and digital transformation.

Indian Enterprises Test Agentic AI Solutions
Indian Enterprises Test Agentic AI Solutions

According to IDC’s report Augmenting Human Capabilities: The Role of Agentic AI in the Future of Work in India, agentic AI is rapidly becoming a core driver of enterprise innovation — moving beyond traditional automation to enable autonomous, intelligent, and context-aware systems.

Strategic Shift: From Automation to Intelligence

Unlike conventional AI, agentic AI systems can operate autonomously, make decisions in real-time, and adapt continuously to new information. These capabilities are shifting enterprise strategies from rule-based process automation to AI-native operating models. Indian enterprises are leveraging these intelligent agents across IT operations, HR, finance, and customer engagement to build responsive, scalable, and human-augmented systems, IDC report said.

Key Benefits Driving Adoption

Autonomy in Workflow Execution: Agentic AI enables higher degrees of automation in decision-making and execution, especially in IT service management, procurement, and compliance monitoring.

Contextual Intelligence: These systems improve outcomes by understanding the nuances of enterprise environments, leading to smarter interactions and better personalization.

Scalability and Continuous Learning: Enterprises gain long-term value from agentic AI’s ability to learn, adapt, and scale without constant reprogramming.

Implications for Tech Vendors

For technology providers, this signals a critical moment to recalibrate product strategies and engagement models:

Capture Early Demand: With nearly 50 percent of organizations actively testing agentic AI through pilots and proofs of concept, now is the time to position differentiated solutions and secure early market share.

Redesign GTM Strategy: The IDC report emphasizes the need for tech vendors to go beyond generic automation tools. Successful GTM strategies will focus on delivering enterprise-grade, secure, and interoperable agentic AI platforms tailored to specific industries and functions.

Prioritize Integration: As agentic AI becomes embedded in enterprise applications, there is growing demand for integration expertise — connecting intelligent agents with ERP, CRM, and ITSM platforms.

Invest in Transformation Partnerships: Vendors who align their portfolios with the shift toward orchestrated, AI-native systems can become long-term digital transformation partners for their enterprise clients.

Identify High-Impact Use Cases: The report highlights emerging applications in intelligent IT operations, dynamic workforce management, smart supply chains, and adaptive customer service. Vendors can use these insights to refine use-case-focused offerings.

Prepare for Future Workforce Models: Agentic AI is changing the structure of work itself. Vendors who anticipate and support new job roles, hybrid decision-making models, and AI governance frameworks will be better equipped to meet evolving customer needs.

The Road Ahead

“Agentic AI is not just another tech trend; it represents a paradigm shift in how people work and how enterprises operate,” said Neha Gupta, Senior Research Manager, IDC India. “Technology providers need to understand where the enterprise market is headed and how to play a leading role in shaping it.”

As Indian enterprises mature in their AI adoption journey, tech vendors — whether platform providers, ISVs, system integrators, or consultancies — must align with this new paradigm. IDC’s findings offer not only a pulse on current enterprise sentiment but also a roadmap for vendors to scale responsibly, position competitively, and lead confidently in India’s AI-powered future.

Rajani Baburajan

Latest

More like this
Related

AI and Cloud drive 10% growth in APeJC data management software market

Customer spending on data management software in the Asia/Pacific...

Red Hat’s AI strategy and innovation focus: Inferencing and Agentic AI

At the Red Hat Summit in May, Red Hat...

Meta’s $14.8 bn deal for Scale AI sparks questions, challenges OpenAI

Meta’s $14.8 billion move to acquire a 49 percent...

Adobe’s strategyf for AI focus, customer wins, and benefits

Adobe reported record revenue of $5.87 billion for the...