Watch the full discussion below to hear how our Business Intelligence team is incorporating AI into everyday consulting, Power BI development, and client engagements.
Three years ago, one question dominated nearly every conversation about artificial intelligence:
Will AI replace Business Intelligence professionals?
Today, the conversation has shifted.
Organizations are no longer asking whether AI will replace BI professionals. They’re asking how experienced consultants are using AI to build better reports, analyze data more efficiently, and solve business problems faster.
That’s the conversation our Business Intelligence team recently sat down to discuss.
Rather than replacing technical expertise, AI has become another tool in the toolbox. It helps consultants understand complex reporting environments more quickly, accelerate development, improve documentation, and spend more time delivering value to clients.
Like any tool, AI is most effective when combined with experience, critical thinking, and a solid understanding of the business problems you’re trying to solve.
Here are some of the biggest takeaways from our discussion.
AI Helps Experienced BI Professionals Get Up to Speed Faster
One of the biggest challenges Business Intelligence consultants face isn’t always building something new—it’s understanding what already exists.
Many projects begin with inherited Power BI reports, undocumented data models, complex DAX calculations, and years of business logic created by someone else. Before any improvements can be made, consultants first need to understand how everything works.
This is one area where AI can significantly reduce the time spent understanding an unfamiliar reporting environment.
Rather than spending hours manually tracing relationships or deciphering complicated calculations, AI can help explain existing code, summarize documentation, identify dependencies, and accelerate the discovery process.
That doesn’t eliminate the need for experienced developers. It simply allows them to spend less time reverse engineering existing work and more time improving it.
AI Is Improving Everyday BI Workflows
Throughout our discussion, we identified several practical ways AI has become part of our day-to-day work.
How Our BI Team Uses AI
- Understanding complex DAX calculations
- Accelerating SQL query development
- Assisting with Power Query and data transformations
- Creating technical documentation
- Summarizing project meetings and notes
- Brainstorming approaches to complex reporting challenges
- Learning unfamiliar technologies more efficiently
- Improving client training materials
These aren’t examples of AI replacing Business Intelligence professionals.
They’re examples of AI helping experienced consultants work more efficiently while maintaining the quality clients expect.
Why Experience Still Matters
One theme surfaced repeatedly throughout our discussion:
AI is a starting point. It isn’t the final answer.
Whether generating DAX, SQL, documentation, or recommendations, AI still requires human review.
Experienced BI consultants understand business context, recognize when something doesn’t look right, ask better questions, and validate results before they become part of a production solution.
In many cases, AI helps accelerate development by handling repetitive tasks, allowing consultants to focus on the strategic thinking, collaboration, and problem-solving that create the most value for clients.
AI Is Also Changing How BI Teams Learn
Business Intelligence professionals are constantly learning.
New technologies, programming languages, Microsoft updates, visualization techniques, and customer requirements continue to evolve.
Rather than replacing that learning process, AI is making it easier to explore unfamiliar concepts, troubleshoot issues, and understand new technologies more quickly.
Continuous learning helps BI consultants adapt more quickly while continuing to build the expertise organizations rely on.
Using AI Responsibly with Business Data
As AI becomes more common in Business Intelligence, another important consideration is how organizations use it responsibly.
Business Intelligence teams often work with sensitive operational, financial, and customer data. While AI can improve productivity, protecting that information should remain a priority.
At IronEdge, responsible AI usage is an important part of our approach. Our Business Intelligence team follows established governance practices when using AI, and IronAI is one of the approved tools we use to support research, documentation, collaboration, and other day-to-day workflows while helping safeguard client information.
The goal isn’t simply to use AI. It’s to use the right AI tools in the right situations while maintaining the trust our clients place in us.
What This Means for Organizations
Organizations don’t gain value from AI simply because they have access to it.
They’re gaining value when experienced professionals use AI to eliminate repetitive work, improve efficiency, and spend more time solving business problems.
The future of Business Intelligence isn’t about replacing people with AI.
It’s about giving skilled professionals better tools to deliver faster insights, build better reporting solutions, and help organizations make more informed decisions.
Frequently Asked Questions
- How are Business Intelligence professionals using AI?
Business Intelligence professionals are using AI to streamline many aspects of their daily work, including understanding existing Power BI reports, writing DAX and SQL queries, creating documentation, summarizing project notes, troubleshooting issues, and accelerating development. AI doesn’t replace technical expertise—it helps experienced consultants work more efficiently so they can spend more time solving complex business problems. - Can AI write Power BI DAX?
AI is a valuable productivity tool, but it doesn’t replace the experience, critical thinking, or business knowledge required to design effective Business Intelligence solutions. Experienced BI professionals provide context, validate AI-generated recommendations, and ensure reporting solutions meet an organization’s unique business requirements. - Does AI replace Business Intelligence consultants?
AI can help accelerate Power BI development by assisting with DAX calculations, Power Query transformations, SQL queries, documentation, report analysis, and troubleshooting. While AI can reduce time spent on repetitive tasks, experienced developers are still responsible for validating results and ensuring reports are accurate and meaningful. - How can organizations use AI responsibly with business data?
Organizations should establish clear AI governance practices that define how AI tools are used when working with business information. Using approved AI solutions, following internal security guidelines, and ensuring experienced professionals review AI-generated work can help organizations improve productivity while maintaining trust and protecting sensitive data.
Ready to Get More from Your Business Intelligence Strategy?
Whether you’re modernizing Power BI reporting, building executive dashboards, integrating data from multiple systems, or exploring how AI can support your Business Intelligence strategy, experienced guidance can make all the difference.
Learn how IronEdge’s Business Intelligence consultants help organizations turn data into meaningful insights and better business decisions.
