Practical thinking on applied AI — for the executives and teams deciding what to build, buy and trust. No hype, no jargon, just what we’re learning by shipping it.

The demo is the easy 20%. We break down the unglamorous engineering — tools, guardrails, evals and observability — that separates an agent that impresses from one you can actually depend on.

WellSky integration automation is a governed pipeline, not an AI guessing at your EMR. Patterns for home-health ops t...

Why home health agency automation projects fail — and the map-first approach that actually automates scheduling, comp...

MIT says 95% of AI pilots produce no profit. Here’s what the successful 5% do before writing a single line of code.

Most agent projects fail not because the model is wrong, but because nobody maintains the system around it.

In regulated industries, governance isn’t a roadblock — it’s the accelerator. Here’s what your board needs to understand.

IBM surveyed 2,000+ CEOs and only 25% said their AI initiatives delivered expected ROI. The problem isn’t the technology.

Enterprise AI doesn’t fail because models hallucinate. It fails because nobody built the governance layer.

Senior AI leadership — roadmap, vendor vetting, governance — without a $300K+ full-time hire. What the role actually does.

Global AI spending hits $2.59T in 2026. Most of it is failing. Here’s how to make sure yours isn’t.

IBM, Google, Microsoft, AWS, and Celonis all converged on the same thesis: AI fails without organizational context.

AI investment is not an AI question. It’s a question about the shape of your work — and which of five investment levers fits each workflow.

What it actually takes for a vision system to be trusted next to a surgeon — latency, failure modes and the human in the loop.

Most mid-size companies need senior AI judgment long before they need a full-time executive. Here’s the math.

A practical starting point for evaluation, monitoring and policy — without grinding your roadmap to a halt.

Automation fails when it paves a broken path. Why the map comes before the build, every time.

A clear-eyed framework for deciding what to build in-house, what to buy, and how to avoid lock-in.

What healthcare and nuclear power taught us about shipping AI where failure is not an option.

A calendar invite triggered remote code execution in Claude Desktop. Not because of MCP — because of ungoverned execution.

Custom-built or pre-packaged computer vision? The strategic factors C-suite leaders should weigh.

What makes a HIPAA compliant AI system: a practical checklist covering BAAs, scoped access, audit trails, and human-i...

Franchise operations AI pays off when you standardize the process first, then automate once. How to cover 50 location...

How to automate caregiver scheduling without breaking compliance: what to gate deterministically, what needs a human,...

AI for home care compliance helps on chart audits and documentation review, and is risky on clinical decisions and PH...

From adaptive learning paths to immersive simulations, AI is reshaping how organizations train.

Subject-matter experts turn AI from a generic tool into a precision instrument for your industry.

A practical guide to budgeting for AI projects of varying scope and complexity.

When to build bespoke and when off-the-shelf makes more sense for your AI initiative.

Data scarcity, model interpretability, and concept drift: the real hurdles in AI development.

DAS Labs and UrWay launch the Visit Ouray app with AI-driven self-guided tours and AR navigation.

How AI analytics combined with spatial visualization can power faster, smarter decisions.

How DAS Labs built an AI-powered tourism experience for Ouray, Colorado.

How Google MediaPipe and machine learning are making sign language more accessible.

Facebook's first smart glasses with Ray-Ban bring camera, audio, and connectivity to everyday eyewear.

Snapchat's Connected Lenses let users interact with augmented reality together in real time.

Microsoft Mesh brings holographic collaboration to remote business teams via Azure.

Facebook partnered with Luxottica to develop wearable augmented reality smart glasses under Ray-Ban.

Nreal launched lightweight AR glasses with 6DoF tracking and plans to expand globally.

Microsoft's Metaswitch acquisition could strengthen its Azure platform for AR and mixed reality.

Magic Leap laid off nearly half its workforce amid financial struggles and slowing AR headset sales.

Apple's LiDAR scanner adds depth sensing to the iPad Pro for more immersive AR experiences.

Snapchat's Cameos uses machine learning to insert user faces into short video clips.

Google Maps overlays AR directions onto the real world using the phone's camera and GPS.

Google acquired eye-tracking startup Eyefluence to advance its augmented and virtual reality offerings.
Tell us what you're trying to do. We'll tell you honestly whether AI is the right tool — and if it is, how we'd build it.