The 21st century belongs to AI! Experts say that AI agents are important in software programming and cybersecurity. However, it is not limited to this scenario; they also have the potential to change enterprise workflows and business intelligence.
Agentic AI is currently experiencing a surge in popularity. Its supporters recognize the advantages of using self-governing AI agents to sort various manual tasks within businesses.
Agentic AI has been named as a top emerging technology for 2025 in June and has paved its path towards generative AI by focusing on operational decision-making rather than merely content generation.
Salesforce has also joined the Agentic AI forces with the launch of Agentforce. Another company that joined the wagon was the IT service management giant ServiceNow, which added AI agents to its Now Platform. After witnessing this technological phase, Microsoft and others are also joining the fray.
Multiple AI agents are released on various platforms; therefore, it is becoming difficult for companies who are interested in the technology to start.
Below are the six case studies from the prevalent industries:
Agentic AI has the potential to transform AI coding assistants or copilots into smarter development tools. They will be able to handle all the large components of coding without any hindrance. As of now, they are in development mode, but with time, these agents will write the majority of code within three years, leading to a need for most software engineers to reskill.
Coding agents will not only write the code, but separate agents will review code for errors, says Sheldon Monteiro, executive vice president and chief product officer at Publicis Sapient, a digital transformation advisory firm.
Many organizations perform repetitive tasks that waste enormous amounts of time, effort, and resources. Hence, Agentic AI will take over these tasks and transform them in such a way that there is no requirement for specific humans to perform them. In the future, these agents might be able to handle those complex problems that require the attention of higher management.
Monteiro is very positive about Agentic agents in the RPA domain and states that when AI can handle tasks that are beyond rule-based actions, then this industry will move towards a new phase.
Glenn Nethercutt, CTO at Genesys, a provider of AI-based customer experience solutions, emphasized the importance of Agentic AI in the customer support segment. Companies are now leveraging traditional chatbots and voice bots to manage their customer service requests.
But slowly and steadily, they have to push themselves towards the new technology. Now, customers want detailed answers in less time, which can be solved via Agentic AI technology.
These customer service agents have the potential to empower retail, financial services, and IT service desk help.
There is a long process of turning meetings into project tickets by a human. However, this scenario will have another story when Agentic AI intervenes. The AI agent has the potential to convert meeting notes into project tickets without human requirements.
Companies with Agentic AI will be able to deploy IT tools from a large vendor across the business rather than integrate several APIs to build frameworks. It has become immensely pertinent for organizations to pool all their vital data and avoid information silos.
In the words of AI expert Sheldon Monteiro, Agentic AI has the power to detect threats and respond to them on a larger level. This technology will mitigate various security and fraud acts in real-time, and companies will be able to save themselves from any data leaks.
In addition, AI agents provide personalized security protocols that have the capacity to adjust to specific vulnerabilities, as stated by AI vendor Beam.
AI agents are developed with the motive of driving more efficiency at affordable costs by automating routine tasks, according to Beam.
Business intelligence is another domain in which AI agents will have a large impact. As per the say of Ryan Janssen, co-founder and CEO at Zenlytic, “While BI dashboards are relatively simple to use, gaining insights that go beyond the standard categories has often taken the work of a data team to extract.”
When AI is blended with BI solutions, it empowers employees towards useful analytics. For instance, an AI agent for Business Intelligence could formulate a marketing team about where to spend its budget or create a chart based on an example drawn on a napkin.
In the future, we will be able to view the power of Agentic AI in other large industries.