As the technology landscape continues to evolve rapidly, AI agents are set to play a pivotal role in how enterprises make decisions. Managers need to be prepared for the integration of AI agents into business processes.
The pressing question is, why are AI agents so important?
The answer lies in their ability to access both internal and external information, making them exceptionally smart and perceptive. Better than one AI model, alone supporting managers.
AI agents gain their edge through a process known as context engineering. By connecting to various systems such as customer relationship management and logistics, they gain a broader perspective, thereby enhancing their decision-making capability.
This means AI agents can see and understand more than traditional models. That’s pretty much it.
There is one more important element. Judgment.
While AI agents offer immense potential, their decisions require careful scrutiny. It’s essential to evaluate the choices that AI agents propose critically. Experts know what I am talking about, I am thinking domain expertise as the final judge.
Business leaders must engage in discussions and reflections in the boardroom, constantly challenging the status quo to balance risks and gains. AI agents help highlight clearer risks and opportunities that the competition might overlook.
AI agents are not just tools for minor tasks like summarizing correspondence or designing documents. They are transformative at the executive level, offering smart perspectives to evaluate risks better and identify gains.
Despite their advanced capabilities, AI agents’ decisions still require human oversight. C-level executives must consider the inputs AI agents provide and determine the best course of action. It’s important to remember that AI agents serve an advisory role, helping balance risks and rewards.
Giving them decision to make is still very risky. People perspective, experience, understading task holistically is critical part.