Hey there,April 2026

From frontier AI experiments to practical ideas and autonomous decision-making, here's what's on our radar this month.

Beyond the Prompt

What Happens When You Let AI Spend Money?

Not recommend a purchase. Not suggest a budget move. Actually spend.

In a fascinating experiment, Anthropic gave an autonomous AI agent control of a small business — managing inventory, setting prices, making purchases, and interacting with customers. With real money.

What makes this so compelling isn't the novelty. It's what it signals: AI moving beyond generating responses into participating in real-world decisions.

For years, we've asked whether AI can support better decisions. Now we're beginning to ask: what happens when it helps carry them out?

Early experiments like this offer a glimpse into the next frontier of autonomous systems.

See what happened when an AI was allowed to run a business

One Bright AIdea

What If Your Images Could Become a Source of Business Intelligence?

In many situations, images are the data. A shelf photo, an inspection snapshot, a damaged shipment, a handwritten form, a site image from the field.

And yet much of that information often sits outside analytics. What if AI could scan those images, extract signals, detect anomalies, read embedded information, and turn visual inputs into actionable insight?

One Bright AIdea: Treat image data as decision intelligence, not unstructured leftovers.

Because sometimes a photo isn't supporting evidence. It's the primary signal.

With Fovea, you can explore how AI can transform image data into insights, alerts, and actions on a unified data foundation.

Discover how image data can surface insights hidden in plain sight

In Focus

It's 9:15 a.m. Your Dashboard Flags a Problem. By 9:16, What If the Issue Was Already Being Resolved?

You open your BI dashboard and see the problem unfolding: customer complaints over delayed deliveries are climbing sharply, service teams are under stress, and you need to act now.

Suddenly it's a scramble. Teams huddle, sift through past incidents, compare how similar disruptions were handled, escalate across functions, and manually piece together a response while the problem keeps growing. Valuable time is spent diagnosing before action can begin.

That's business intelligence doing what it was built to do: help you respond. But what if you weren't responding at all? What if the moment the signal appeared, action had already started?

At 9:16, while teams would still be piecing together context, an AI agent has already analyzed similar disruptions, identified the root cause, triaged affected tickets, triggered customer updates, and delivered a prioritized action plan in seconds.

That's the shift from traditional BI to Agentic AI:

From reporting to action.
From dashboards to execution.
From reacting to shaping outcomes.

This isn't future-state thinking. It's what business intelligence starts to look like when insight becomes action.

Explore how Agentic AI moves beyond traditional BI

AI Is Fun

Did you know? A human makes roughly 35,000 decisions a day. At that pace, it would take over 1,400 years to match what an AI system can do in just one minute. That's because some AI systems can make 300,000,000 predictions every second — or 18 billion decisions a minute, more than twice the world's population.

Quick quiz: Your AI spots delayed deliveries. What should an agentic system do?