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An Agentic Future

Software interfaces have evolved from keyboard to visual point-and-click interfaces to touch. Conversational interfaces started some years ago as chatbots were introduced. With GenAI, the capability to create and understand text/audio/visual has leaped exponentially. As these conversational interfaces become capable of executing actions and performing tasks for human users (and other programmatic use cases), the concept of agents becomes a reality.


An AI agent is the natural evolution of a chatbot in that it can make some sort of decision, take action on behalf of a user, and adapt without the need for constant supervision. For example, OpenAI recently announced their latest model, o1 (https://openai.com/o1/), which spends more time reasoning before providing answers to a user, getting us closer to an agentic future.

Large enterprise software companies are also following suit by incorporating the capability of admins to create agents within their platforms. Citizen users can also create their own agents to help them perform tasks. In fact, AI agents can invoke other AI agents to perform micro tasks (like the concept of reusable software modules in software development).

AI agent examples from a select group of enterprise software platforms:

Natural language is a straightforward and easy way to communicate among humans. We are reaching a point where we can start using this communication mechanism to interact with software and computers, therefore requiring less training and education to use software or get things done with technology. An agentic future will expand the ways people interact with technology and should unlock overall productivity. Most of the software we know today will need to evolve to incorporate agents, the next frontier in software user interfaces.

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