Agentic AI: Value, Controls, & Accountability Crucial
Summary
Businesses are moving from generative AI to agentic AI, which means AI systems can now take action, not just generate answers. This shift brings a new focus on business value. Here's the thing: while AI agents can do many tasks, organizations need to consider three key factors before adopting them. First, be clear about the value you want to create, whether it's faster innovation or improved stability. Second, identify workflows with clear rules and repeatable steps where agentic AI can be effective, like in engineering. Third, define how you will measure success, focusing on actual business impact rather than just activity. The bottom line is that speed alone does not guarantee business value with agentic AI; context, control, and accountability are crucial for organizations.
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