Lisa sat at her desk, staring at the endless rows of her project tracker. As operations manager at ServicePlus, she had always relied on her organizational skills to keep projects moving. But with the company expanding so quickly, things were slipping through the cracks. Deadlines were missed, her team was exhausted, and she found herself spending most of her time firefighting instead of planning.
During a leadership meeting, the company’s COO, Mark, brought up something unexpected. “Maybe we should start exploring AI,” he said. “It could help streamline operations and free up some of your time.”
Lisa felt a knot in her stomach. AI sounded complex, expensive, and frankly, way over her head. But she knew something had to change.
After a few days of thinking it over, Lisa decided she needed to understand AI herself. She didn’t want to rely on costly software or outside experts. She wanted to create AI tools that would work specifically for her team’s unique challenges. So, she enrolled in a course on AI for business managers.
At first, the lessons seemed simple—almost too simple—but Lisa quickly realized she was building foundational knowledge that would set her up for future success. By learning the basics, she was laying the groundwork for more complex applications.
One night, while working late, Lisa decided to put her new knowledge to the test. She created a basic AI model that analyzed her team’s past performance and predicted a more efficient way to schedule upcoming projects. It wasn’t perfect, but it was a solid first step. The next day, her team was surprised by how well the new schedule balanced their workloads, making everything run a little more smoothly.
As Lisa continued refining her AI tools, the results became even more noticeable. The AI she built highlighted overlapping deadlines, suggested better task assignments, and predicted when projects might run into issues. What made it even more effective was that Lisa had customized the tool to fit her team’s specific needs.
Over time, Lisa realized that learning to build her own AI tools gave her more control, not just over her team’s operations but over her career. She no longer felt overwhelmed by technology—she felt capable of using it to solve real problems. AI wasn’t just about automation; it was about giving her the insight she needed to get ahead of challenges.
Curious about how you can build your own AI tools to improve your team’s performance? Lisa’s journey started at FargoAITraining.com.
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