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Agentic AI continues to grow as enterprises explore its potential. However, there can be pitfalls when building an AI agent workflow.
May Habib, co-founder and CEO of full-stack AI platform Writer, said there are four things enterprises should consider when thinking about autonomous AI and the automated workflows that AI agents enable.
“If you don’t focus on the capabilities that are right for you to create self-sufficiency, you’ll never get to a generative AI program that is scaling,” Habib said.
For Habib, enterprises need to think about these four things when approaching AI workflows that offer value to them:
Understanding your use cases and the mission-critical business logic connected to those use cases
Knowing your data and the ability to keep the data associated with business cases fresh
Learn who the people that can build those use cases in the team
Managing the capacity of your organization to absorb change
Know your process and build a pipeline
When it comes to understanding use cases, Habib said many enterprises don’t need an AI that will tell them how to grow their business. They need AI that streamlines the work they already do and supports the processes they already have. Granted, of course, the organizations are aware of what these processes are.
“Never forget that the nodes of the workflow are the hardest part, and not to get overly excited about the hype of agentic until you’ve nailed that workflow, because you are just moving inaccurate information or bad outputs from the system,” Habib said.
Business processes cannot work without good data, but Habib said businesses should also build a data pipeline to bring fresh data related to the specific business use case.
Habib said it’s equally important to know who can build the AI applications in an organization and the people who understand the workflows involved in the use cases best. She said AI does not dictate processes; the enterprises dictate the processes AI should follow. All of these culminate in the fourth tenet of effective generative AI: knowing how much change the organization can take an …