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Expert opinion

5 min read

The role of Generative AI in transformation of ‘traditional’ BI

Craig Andrew, Head of Data Analytics at Keyrus

From Dashboards to Dialogue: A New Era in BI

Business Intelligence (BI) is undergoing a seismic transformation. Traditional BI tools—once defined by static dashboards and limited interactivity—are being rapidly reshaped by artificial intelligence (AI). This evolution is not just technological; it’s cultural, reshaping how modern businesses engage with data.

In the United Kingdom and beyond, AI is transforming business intelligence from a passive, dashboard-based model into a dynamic, conversational experience. Through generative AI tools powered by large language models, users can now interact with data in real time, ask natural language queries, and receive contextual, actionable insights.

The Limitations of Traditional BI Tools

For years, platforms like Power BI and Tableau served as the backbone of data-driven decision-making. Yet, in many cases, these traditional BI tools fall short. Business users often struggle to interpret static dashboards, navigate complex filters, or understand which metrics require attention.

These tools can’t keep up with the pace of the modern business environment, where agility and real-time decision-making are crucial. Static dashboards provide visualization but rarely offer the foresight or interactivity users need. This is where AI-powered BI shines.

Generative AI: Empowering BI Professionals and Analysts

Generative AI introduces an AI-powered BI paradigm shift—one where business users, analysts, and executives can use AI to ask sophisticated questions like:

  • “Which supply chain nodes are likely to be disrupted next quarter?”

  • “What are the predictive trends in customer churn across product lines?”

With natural language processing and machine learning, these tools interpret the question and respond with context-rich answers, often before a human even formulates the question. This enables bi systems to become proactive advisors, capable of monitoring vast amounts of data and identifying anomalies, opportunities, or risks.

AI Into BI: Enhancing Workflows and Automating Insights

At Keyrus, we view AI in BI not as a bolt-on, but as a full integration. We help businesses integrate AI into BI systems, enabling streamlined workflows, smarter data collection, and accelerated predictive analytics.

We deploy AI tools that not only automate tedious tasks but also allow users to interact with data intuitively. From generative AI copilots in Tableau to custom agents leveraging AI models for forecasting, we ensure your data stack supports future growth.

Our focus includes:

  • Training BI users to ask better questions

  • Deploying governed AI systems that respect data privacy and compliance

  • Designing use-specific solutions tailored to your industry use cases

Use Cases: From Forecasting to Market Shifts

The impact of AI-powered BI is far-reaching. Consider these real-world use cases:

  • Forecast product demand using historical and real-time dataset inputs

  • Spot emerging market shifts across retail and finance using predictive modelling

  • Enable users to ask questions without needing technical SQL knowledge

  • Provide executives with summary insights to speed up the decision-making process

By utilising generative AI tools, businesses shift from lagging indicators to leading insights, transforming hidden patterns into a competitive advantage.

A Cultural Shift in the BI Landscape

AI is also redefining the very role of BI within organisations. No longer a background function, modern BI empowered by AI becomes a strategic enabler. It enhances human decision-making by delivering timely, actionable insights and elevating the role of the analyst to that of a strategist.

This change empowers teams to move from hindsight to foresight, from reaction to strategy. It brings intelligence to every layer of the business—from operations to the C-suite.

Keyrus: Leading the Way in AI-Powered BI

At Keyrus, we are actively guiding organisations through this transformation. Whether it's embedding AI technologies like Snowflake Cortex or Microsoft Fabric, or building tailored generative AI experiences, we are committed to putting the human at the center of AI-powered decision systems.

We help organisations:

  • Transform their BI environments

  • Automate insight generation

  • Foster intuitive user experiences

  • Ensure responsible AI adoption through governance

For the companies ready to evolve, this is more than an upgrade—it's a revolution.

The integration of AI into BI is not just a technical evolution—it is the foundation of a smarter, more agile, and more inclusive business future. As AI becomes more accessible, the BI landscape will continue to shift toward proactive, conversational, and truly actionable intelligence.

At Keyrus, we're not just observing this revolution. We’re empowering it.

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