AI-driven agents streamline and transcend traditional end-to-end process integration, making it a tangible reality rather than a mere fantasy.
Transforming Business Workflows with Agentic AI
Agentic AI is revolutionizing business operations by automating complex, multistep tasks and enhancing decision-making, thereby boosting productivity. This innovative technology is making a significant impact across various industries, particularly in core applications where it can provide the most value.
These AI agents, intelligent and often autonomous, are capable of understanding natural language, bridging information gaps, integrating across systems, and taking action. They are embedded in enterprise applications, such as SAP's financial management products, where they can help an accounts receivable clerk settle a disputed invoice from a customer.
One of the key features of agentic AI is its ability to learn and improve over time. This means that it can scour industry news for potential improvements and responses to disruptions, making it a valuable asset in today's rapidly changing business environment. Moreover, AI agents can suggest changes to improve their performance based on feedback, ensuring they remain effective and efficient.
The implementation of agentic AI, however, is not without its challenges. Building AI agent proofs of concept is relatively easy, but making them ready for real-world production environments is complex. The importance of change management cannot be overstated in this context. CIOs are getting assistance from software vendors that have been integrating AI agents into their enterprise applications, but the role of the CIO in change management becomes more critical with the implementation of AI agents.
AI agents work closely with an organization's 'innovation agent', 'strategic SI agent', and 'human organization and change management' teams to ensure smooth adoption and compliance. They also collaborate with 'strategic SI agents' to implement changes. What excites people most is how agents can integrate into existing applications and end-to-end business processes.
The near-term targets for automation include administrative duties and call center tasks. As AI agents take over these routine tasks, human resources are freed for strategic and creative activities, reducing operational costs.
According to recent surveys, 51% of organizations are exploring the use of AI agents, and another 37% are piloting the technology. This widespread interest in agentic AI is not surprising, given its potential to transform business workflows and shift the CIO's responsibilities towards strategic oversight and innovation leadership.
References: 1. Forbes 2. TechTarget 3. Towards Data Science 4. Deloitte 5. Gartner
Agentic AI, a subset of artificial intelligence, is significantly transforming business workflows by automating complex tasks and enhancing decision-making. KPMG, SAP, and other leading organizations are integrating AI agents into their enterprise applications to boost productivity and streamline processes.
Technology advancements in artificial intelligence, such as agentic AI, are impacting various industries, with a key focus on automating routine tasks like administrative duties and call center tasks, thereby freeing human resources for strategic and creative activities.
