The most promising use cases for agentic AI

Agentic AI is emerging as a transformative technology that extends beyond traditional generative AI by enabling autonomous decision-making and task automation across enterprise operations, with major companies like Salesforce, ServiceNow, and Microsoft actively developing and deploying AI agent solutions.

Current landscape and adoption: Major organizations including Aflac, Atlantic Health System, and NASA‘s Jet Propulsion Laboratory are already implementing agentic AI solutions to enhance their operational capabilities.

• Forrester has identified agentic AI as a top emerging technology for 2025, highlighting its potential impact on business operations
• The technology emphasizes operational decision-making rather than simple content generation
• Leading tech companies are rapidly incorporating AI agents into their enterprise platforms

Key implementation areas: Software development stands as one of the most promising applications for agentic AI, with Gartner predicting AI agents will write the majority of code within three years.

• AI agents can autonomously write large code segments and conduct code reviews
• DevOps workflows can be enhanced through AI-driven specification engineering and testing
• The technology enables automated code approval based on specific quality criteria

Process automation advancement: Agentic AI represents a significant evolution beyond traditional robotic process automation (RPA) capabilities.

• Unlike rule-based RPA, AI agents can handle complex tasks requiring sophisticated decision-making
• The technology can adapt to changing conditions without manual oversight
• AI agents can integrate seamlessly with existing ERP, CRM, and business intelligence systems

Customer service transformation: AI agents are revolutionizing customer support by enabling more sophisticated and context-aware interactions.

• The technology can handle complex, multi-step requests that traditional chatbots cannot process
• AI agents can understand and respond to nuanced customer queries
• Financial services and retail sectors are seeing early adoption of these enhanced support capabilities

Enterprise workflow optimization: Major enterprise software providers are integrating AI agents to streamline business processes.

• AI agents can automatically convert meeting notes into actionable project tickets
• Supply chain management can be automated based on demand-supply predictions
• Organizations with unified tech stacks may see advantages in AI agent deployment

The evolution of enterprise AI: The full potential of agentic AI remains largely unexplored, with new use cases emerging regularly.

• Organizations are still in early stages of understanding how to effectively govern and organize multiple AI agents
• The technology shows particular promise in detail-oriented, time-consuming tasks
• Future breakthroughs are expected as organizations learn to coordinate multiple AI agents working in concert