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October 27, 2025

Enterprise AI Goes Autonomous: How Agentic Systems Are Reshaping Business Operations

Enterprise AI Goes Autonomous: How Agentic Systems Are Reshaping Business Operations

Businesses are moving beyond basic automation as they experiment with agentic AI—intelligent systems that can make decisions and collaborate independently. A new ISG Provider Lens® report reveals enterprises are transitioning from simple chatbots to sophisticated multi-agent systems that could fundamentally change how work gets done.

What Makes Agentic AI Different

Unlike traditional automation that follows rigid rules, agentic AI systems can make contextual decisions and adapt to changing situations. Steve Hall, chief AI officer at Information Services Group, explains these systems are "assembling the building blocks of autonomous intelligence throughout the enterprise with governance and accountability."

Key Enterprise Applications Today

Current Use Cases:

  • Financial Operations: Auditing functions, transaction monitoring, and anomaly detection
  • Software Development: Code generation, automated testing, and vulnerability scanning
  • Business Process Optimization: Streamlining workflows and productivity enhancement

The technology is evolving rapidly from simple, model-driven agents to complex multi-agent systems that can collaborate and orchestrate tasks across different business functions.

The Infrastructure Challenge

Organizations face a critical hurdle: data readiness. Agentic systems need real-time, decision-grade data that many traditional IT architectures can't provide. Companies are modernizing their data infrastructure to support these autonomous systems, emphasizing consistent governance to ensure agents operate within compliance boundaries.

Leading Providers: The ISG report identifies nine industry leaders in agentic AI development: Accenture, Capgemini, Cognizant, DXC Technology, HCLTech, IBM, Infosys, NTT DATA, and TCS.

As digital agents increasingly function as "operational co-workers," organizations must balance innovation with proper governance and workforce training. Companies that successfully integrate autonomous AI while maintaining human oversight will likely gain significant competitive advantages in the coming years.

🔗 Read the full report on Financial Times