The Practical Power of Generative AI in Business

By Miguel Sanchez, Data Coach at Rockborne

AI is everywhere, true, but how do businesses move beyond the hype and apply it in ways that create real impact? That’s exactly what we explored in Rockborne’s latest webinar, Application of Generative AI in Your Business, a session designed to demystify AI and give decision-makers a clear, practical understanding of integrating it into their operations.

How is Generative AI Different from LLMs?

AI is often discussed in abstract terms, making it difficult to grasp its real-world applications. In this webinar, we clarified the key differences between Large Language Models (LLMs) and Generative AI, two concepts that are frequently conflated.

• LLMs (Large Language Models): AI that predicts text by recognising patterns in vast datasets. It works like an advanced autocomplete, generating fluent responses but without true originality.
• Generative AI: AI that creates entirely new content—whether text, images, video, or code—rather than just predicting what comes next. It opens up new possibilities for automation, innovation, and problem-solving.

Practical Business Use Cases of Generative AI

Rather than focusing on abstract potential, we explored real-world applications using AI tools Claude.ai and Gamma.app, demonstrating how they can streamline workflows and enhance productivity.

1. Making Data Work for You with Claude.ai

Every business generates data, but not everyone knows how to use it effectively. Many organisations rely on spreadsheets and manual analysis, which can be time-consuming, inconsistent, and prone to human error.

Using Claude’s Artefact feature, we showed how AI can:

• Analyse large datasets instantly, extracting trends and anomalies that would take hours to spot manually.
• Build interactive dashboards on the fly, transforming raw data into clear, visual insights without the need for coding.
• Automate reporting, reducing the repetitive tasks analysts often spend days on.

For example, we uploaded a sales dataset and asked Claude to generate a dashboard tracking regional performance. Within minutes, we had a working prototype, something that would normally require a data analyst or a BI tool. This kind of AI-driven automation allows teams to focus on decision-making rather than data wrangling.

 

 

2. AI-Generated Presentations with Gamma.app

Most professionals have spent hours piecing together PowerPoint slides, for things like adjusting layouts, picking images, refining text, and more. It’s a necessary but tedious part of business communication.

With Gamma.app, we showed how AI can cut this process down to minutes. We showed this by example, by simply feeding it content from Rockborne’s website, we instantly generated a fully designed business presentation—structured, formatted, and visually polished. This tool allows professionals to:

• Convert reports or briefs into presentation-ready slides with minimal effort.
• Customise layouts and visuals in seconds, rather than manually adjusting every element.
• Download the finished deck as a PowerPoint file for further refinements.

 

 

For businesses that rely on frequent reporting, sales pitches, or internal presentations, this kind of automation can free up hours of valuable time.

The Risks & Challenges of AI Adoption

Of course, AI isn’t without its challenges. While it offers efficiency gains, it also comes with risks:

• Bias & misinformation: AI models inherit biases from the data they’re trained on, which can lead to inaccurate or skewed outputs.
• Security concerns: Uploading confidential data into public AI tools raises privacy issues.
• Over-reliance on automation: AI should assist, not replace, human decision-making.

Understanding these risks is key to using AI responsibly while maximising its benefits.

If you’re interested to learn more about responsible AI use, check out this related read: AI in Finance: How Better Quality and Governance is Crucial for AI Implementation

 

Watch the Full Webinar

Application of Generative AI in Your Business

 

Final Thoughts: Where Do We Go From Here?

AI is already changing how businesses operate, and those who embrace it now will have a competitive edge. Success with AI depends on having the right people in place, whether that means bringing in skilled professionals or helping your current team build new capabilities.

Harnham helps businesses build strong AI and data teams, making sure they have the expertise to use AI effectively in their work.

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