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Turning AI Interest Into Business Impact: A Practical Approach to AI Adoption

March 27, 2026
By Juan Sola, Brandon Vukas

Making AI Practical for Your Business

Artificial intelligence is becoming part of everyday business conversations—but many organizations struggle to turn interest into real results. Tools get tested, pilots get launched, and then momentum stalls.

The challenge usually isn’t the technology. It’s knowing where AI fits, how to implement it responsibly, and how to integrate it into existing processes without creating more complexity.

A Business-First Approach to AI

MarksNelson’s technology team helps organizations take a practical, business-focused approach to AI. We focus on outcomes over experimentation, starting with your goals, processes, and data to identify where AI can truly add value.

Where AI Delivers the Most Value

We commonly see AI create meaningful impact in areas such as:

  • Automating repetitive or document-heavy workflows
  • Extracting and summarizing information from unstructured documents
  • Improving access to internal knowledge and data
  • Reducing manual effort and operational errors

Our solutions are designed to fit within your existing technology environment, often leveraging tools organizations already have.

From Experimentation to Impact

AI doesn’t need to be overwhelming or theoretical to be effective. With the right strategy and execution, it becomes a practical tool for improving efficiency, insight, and decision-making.

If you’d like to learn more about our AI Services and how we work with clients, visit our full AI Services page.

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About THE AUTHOR

Juan Sola has been solving complex problems in computing and IT for over 30 years. He is passionate about using state-of-the-art hardware and software to implement solutions that can help businesses move forward. With a background in Artificial Intelligence, Juan loves pushing technology to its... >>> READ MORE

About THE AUTHOR
Brandon Vukas Brandon Vukas

Brandon Vukas works with organizations to apply AI in practical, business-focused ways. He helps clients identify high-value use cases, design AI solutions that fit their technology environments, and move from experimentation to measurable impact.

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