Software as a Service (SaaS) transformed enterprises by delivering tools online via subscription model, leading to vertical SaaS with industry-specific functionalities.
Agentic AI represents a new era in enterprise software, with autonomous agents analyzing data, making decisions, and orchestrating workflows in real-time.
These AI agents operate without human prompts, have individual goals, and can focus on tasks like sales, customer service, or manufacturing changes.
Gartner projects that a third of enterprise software applications will integrate agentic AI by 2028, highlighting its growing importance.
Survey results show that 83% of IT leaders consider AI agents crucial for competitiveness, with 96% planning to increase AI deployments in the next year.
Agentic AI aims to enhance productivity and efficiency in the digital realm, bridging the gap between personnel and product to drive organizational success.
Price models for agentic AI are evolving towards 'per task' or value-based approaches, emphasizing measurable results and productivity enhancements.
Choosing software vendors now requires evaluating reliability, alignment with company goals, and accountability in decision-making for responsible AI usage.
Addressing accountability concerns, organizations must consider legal and compliance issues, risk mitigation, and protocols for managing rogue AI agents.
To prepare for adopting Agentic AI, businesses are advised to reevaluate tech stacks, involve diverse leaders in decision-making, and establish policies for safe AI usage.