TRENDING NOW

“We Enabled Copilot.” That Was the Easy Part.

Companies everywhere are celebrating AI adoption while the actual work stays untouched. Copilot made individuals faster, but the process, the handoffs, the approvals, the coordination, is still stitched together by people. The real question isn't whether your team is using AI. It's what work should no longer need a human to push it forward. That's where value shows up.

Giving Back with Purpose: A Student Multi-Agent AI System

AI transformation is often discussed in offices as a future initiative. Something to experiment with, pilot or cautiously expand. But recently a group of students, working with Cay Digital, demonstrated something many enterprises are still working toward: they architected AI. As part of the Presidential AI Challenge, a student AI Club built what they call the “Benjamin School AI Teacher". Cay Digital curated the project by providing the Azure infrastructure, architectural direction, and system design guidance behind the build.

From AI Tools to Intelligent Systems: Simon Lacasse Joins Cay Digital

The future of AI in the enterprise isn’t about better prompts or bigger models. It’s about systems. AI that coordinates work, interacts with humans when necessary, and operates across entire processes. Most companies sense this shift, but few know how to design for it. That’s where Simon leads.

Why GitHub’s Coding Agents Are a Game-Changer for Software Development

GitHub has just unleashed a seismic shift in how teams build—and dare I say, think—about code. Their Copilot Coding Agent, announced at Microsoft Build 2025, turns Copilot from an assistant into a teammate you delegate tasks to. This is asynchronous, autonomous development on steroids.

Rethinking the Apprentice Model in the Age of AI

AI is already rebalancing the labor market—and not in the way most leaders predicted. For the first time in decades, unemployment rates are higher for new graduates than for experienced hires. Organizations are bypassing entry-level roles, opting instead to let AI handle the menial work that used to be the proving ground for fresh talent.

Why Your Staff Can’t Deliver Real Transformation with AI

Let’s start with the uncomfortable truth: asking your staff to “use AI to automate themselves” is a fantasy. It sounds visionary in a town hall speech, but in practice it’s like asking the pilot to dismantle the plane while still flying it.

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