The key message here is in the Amazon example “Amazon didn't turn into an operational juggernaut overnight; it layered automation use case by use case.”. I also appreciate the term “agent-washing”. Just as every tech company became an AI company over night just a few years ago, every tech vendor is jumping on the agent bandwagon. One could define agentic AI broadly enough that many would qualify as such but the more detailed attributes that you have defined are a better benchmark of agent functionality.
Your take aways of narrow use cases, clearly defined goals and metrics to define success tied together with strong governance and guardrails are the lenses through which execs need to consider agentic approaches to business challenges.
This will reduce the stress around FOMO and feelings of being overwhelmed by the pace of change.
A good quick overview post, the table comparing Automation vs AI agent is helpful. Thanks Abhi!
The key message here is in the Amazon example “Amazon didn't turn into an operational juggernaut overnight; it layered automation use case by use case.”. I also appreciate the term “agent-washing”. Just as every tech company became an AI company over night just a few years ago, every tech vendor is jumping on the agent bandwagon. One could define agentic AI broadly enough that many would qualify as such but the more detailed attributes that you have defined are a better benchmark of agent functionality.
Your take aways of narrow use cases, clearly defined goals and metrics to define success tied together with strong governance and guardrails are the lenses through which execs need to consider agentic approaches to business challenges.
This will reduce the stress around FOMO and feelings of being overwhelmed by the pace of change.