Your dashboard can tell you sales are down, but it can't tell you why or what to do next.

Dashboards have become the default way to monitor a business. Bhaskar Sunkara argues they're only the starting point. The next step is AI that understands business context and helps leaders move from insight to action.

In this episode of The AI Forecast, Paul Muller sits down with the founder and CEO of Bicycle AI to explore how agentic AI is reshaping enterprise analytics. After helping pioneer application monitoring, Bhaskar now focuses on a different question: how AI can help businesses understand why something changed and what action to take next.

Bhaskar and Paul break down:

Why traditional dashboards fall short for business decision-making
How agentic AI moves from reporting problems to recommending actions
The role of business ontology in connecting data, context, and outcomes
Why data quality and traceability remain essential for trustworthy AI
How AI can automate root cause analysis across technical and business systems
Why human judgment remains central to enterprise decision-making
What it takes to build proactive, AI-driven business operations

Bhaskar sees AI as a force multiplier for decision-makers, assembling the evidence so leaders can focus on judgment and accountability. The result is faster, more informed decisions backed by business context.

Want to learn more about enterprise AI decision-making? Check out Ep 80 | Decision Logic: The Difference Between an Answer and a Decision

Stay in touch with Bhaskar:

Bhaskar Sunkara on LinkedIn: https://www.linkedin.com/in/bhaskarsunkara/

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