AI is everywhere right now, making headlines and changing how businesses operate. But at Data Intensity, a company that manages Oracle solutions, leaders are choosing to keep things simple. Instead of jumping on the latest AI hype, they focus on using AI only when it makes sense and adds real value. This approach helps create a calm, clear environment for their IT teams to work in.

Balancing AI Potential with Real Needs

Data Intensity recognizes that AI has a lot of promise. The company’s executives are open to using the technology to better serve their customers. But internally, they are cautious. Clint Harder, co-CEO, explains that the company tests and deploys AI only when a genuine use case arises. This measured approach stems from a culture built on accountability, transparency, and honesty about what they know—and what they don’t.

Harder emphasizes that keeping things simple helps everyone stay grounded. It provides certainty in an uncertain landscape. Employees are encouraged to be part of every decision, knowing that the company understands the complexities of AI without pretending to have all the answers. This openness fosters trust and helps teams navigate the rapid changes AI brings.

Fostering an Open and Growth-Oriented AI Culture

While Data Intensity doesn’t expect all IT staff to be AI experts, they do look for people who are open-minded about the technology’s potential. Harder notes that attitude matters more than technical skill. Employees should see AI as an opportunity, not a threat, and be willing to explore its benefits.

Harder actively promotes the advantages of AI and automation, highlighting that these tools are not just about saving costs. They help get work to the right people, improve quality of life, and reduce the need to be constantly available for clients. This shift in focus changes what the organization celebrates and how it views progress.

Importantly, Data Intensity’s efforts to create a relaxed, “chill” environment do not mean complacency. The company prioritizes employee growth and internal promotion. Roles are shared internally weekly to encourage career mobility, and staff have input into their projects. This approach boosts job satisfaction and productivity.

Further investing in professional development, Data Intensity offers DI University—a training program designed to keep skills sharp and empower employees. Customer-facing teams also benefit from additional training, ensuring everyone stays current with technological changes. This focus on learning helps the company maintain a skilled, motivated workforce ready to adapt when the right AI opportunities come along.

Inspired by

• https://www.computerworld.com/article/4096297/data-intensity-building-hype-free-ai-culture.html