There's always a certain degree of hype around emerging technologies, and agentic artificial intelligence (AI) is no different. It's important to temper your expectations by understanding that agentic AI is not always the best choice for every organization in every situation. In some cases, traditional tools or human-driven effort are still the most effective approaches. In this lesson, you'll determine whether agentic AI is a good fit for the organization's needs.

Assuming you've determined that agentic artificial intelligence (AI) is appropriate for your needs, you're ready to start designing a solution. You won't get into the technical details, but it still helps to plan the solution at a high level. That way, you'll be better prepared to support that solution as a stakeholder.

For all its benefits, agentic artificial intelligence (AI) also presents significant risk to the organization. You must manage these risks in order to be successful, reducing the chances that this new technology will do more harm than good.

Like any new technology, treating agentic artificial intelligence (AI) as if it were operating in a vacuum will lead to problems for the organization—problems that are largely preventable. This actually goes doubly for agentic AI, since it's meant to integrate with and/or supplant business processes that have probably been around for a while. You must ensure agentic AI is adopted into the organization with minimal disruption while also aligning with overall business strategy. That way, you can uphold its value proposition.

You've successfully obtained buy-in from various stakeholders regarding the agentic initiative. But before your organization can get started building an artificial intelligence (AI) agent for production, you must ensure that everything's ready to go. In this lesson, you'll prepare to execute on your agentic strategy.

You'll wrap things up and then validate what you've learned in this course by taking the credential exam.