BI is dead

Companies are moving from static BI to agentic analytics. They want stakeholders to ask questions to data instead of looking at it staticly.

Agentic analytics current tools are black boxes

But most agentic analytics solutions today are black boxes. Instead of scaling data teams, they endanger their value - producing reliable and relevant insights.

They make us believe that their agent is the best one, while the reliability of an agent mostly depends on its context.

Context Engineering is the future of data teams

That's why data teams need to shift their focus to context engineering.

With context engineering, data teams take ownership over what the business can access and how agents behave, while scaling their impact across the company. They become builders, not just tool buyers. They design intelligence instead of delegating it.

We need an open framework for context engineering

This is why we need an open context engineering framework for agentic analytics. So data teams can collectively shape this discipline and improve their agents over time.