Today, let’s cover two migration mistakes that usually go hand in hand:
- Building non–AI-ready models.
- Ignoring BI bots and agents.
Here’s the problem:
Many companies migrate into shiny “modern” BI platforms… but still design them like it’s 2015. Data models optimized for static dashboards. Rigid pipelines. No thought for what happens when AI starts asking the questions.
The result? By the time bots and agents become standard (which is happening right now), their “new” BI is already outdated. Another costly migration in 2–3 years.
The smarter path is to design for AI-readiness from day one:
- Structure semantic models so they can power dashboards and bots.
- Capture business logic in a way that LLMs can actually use.
- Plan for conversational access: “Show me margin trends by region” should work without a developer.
- Think of BI not just as reports, but as the foundation for agents that advise, alert, and act.
This isn’t science fiction. It’s the direction Microsoft, Google, and everyone else are pushing. The companies that design with AI in mind today will avoid rebuilding tomorrow.
If you’d like the full breakdown of all 7 migration mistakes (and how to avoid them), grab this short guide:
7 Costly BI Migration Mistakes – and How to Avoid Them
Download it here.
