Big businesses report nearly 80% of their generative AI projects met or exceeded expectations. Most projects aim to improve operational efficiency. Unfortunately, over 20% of the reported AI projects are bombing.
The projects didn’t decrease workload but just the opposite. How can that be? First, AI isn’t accurate.
It’s a tool that only works well about one-third of the time. That means an employee has to spend time checking the tool’s accuracy. What happens when they don’t?
The inaccurate information flows to another team down the line, which has to spend time fixing the error. Worse, the error can flow to the customer or a business website, causing your business reputation to take a hit.
Your employees can send emails faster and manage more projects, but that doesn’t mean they should. Your business needs to emphasize using the extra time saved for projects that improve revenue, expand your customer base, or further improve your processes.
It’s a good idea to be strategic in your approach to Gen AI. With your employees’ input, research and choose the best AI tools to improve your processes that need repair. Haphazard use of whatever AI tool is the flavor of the day guarantees more work for everyone at best and a disaster at worst.
Even with a strategic approach, there will be a learning curve for management and employees. Employees and management need to understand that and work through it together.
Author: Kris Keppeler is a writer who finds technology fascinating and loves humor. She writes on Medium.com. She is also an award-winning podcast producer who enjoys telling funny stories. Follow her on X (formerly Twitter) @KrisNarrates or on LinkedIn.
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