Insights

Technology does not fail because it lacks promise.

It fails when optimism is mistaken for readiness.

Insights is a curated library of board-level analysis on AI, extended reality (XR), and digital platforms—written for investors, directors, and senior operators navigating scale, security, and durability decisions.

The perspectives here are intentionally selective. They focus not on what is new or impressive, but on what survives enterprise reality: commercialization pressure, governance scrutiny, hardware volatility, and long-term operational complexity.

These articles are designed to be read the same way they are used—quietly circulated, debated internally, and applied to real decisions.

For deeper frameworks, evaluation tools, and board-ready resources, visit Resources.

AI Due Diligence Checklist for PE Firms

Every AI-enabled target we review this year clears the demo. That was never the hard part. The demo was built by people who know exactly[…]

Enterprise XR Strategy for 2026

Three of the largest technology companies in the world spent the last decade building enterprise XR hardware programs. All three have now walked away. Microsoft[…]

AI & XR Organizational Readiness: Why Enterprise Deployments Fail

Enterprise AI and XR initiatives rarely fail because of the technology. They fail because organizations aren’t prepared to absorb, govern, and scale them. Drawing on[…]

The DoD AI-First Mandate: A Readiness Guide for Defense Organizations

By Lynn Welch | The Lion’s View In January 2026, the Secretary of Defense issued a memo that redefined the Department’s relationship with artificial intelligence.[…]

EU AI Act Compliance for US Companies: What the Deadline Requires

Three months out from the high-risk compliance deadline, 78% of enterprises have not taken meaningful steps toward EU AI Act compliance. That gap is an[…]

The Federal AI Policy Framework: What It Means for Compliance

In March, the White House released its National Policy Framework for Artificial Intelligence — a 30-page document signaling where the administration wants Congress to go[…]

Scaling Healthcare AI from Pilot to Production: What It Requires

The healthcare sector is no longer running controlled pilots. It is moving AI into the operational core of clinical and commercial decision-making. And the governance[…]

Agentic AI Governance: A Framework for Enterprise Deployment

What we're seeing across enterprise, manufacturing, and healthcare is a familiar pattern: capability outruns the infrastructure built to contain it. The pace of agentic AI[…]

Enterprise Spatial Computing Implementation: What Comes After the Demo

Lynn Welch of The Lion's View on why the hard part of spatial computing isn't the technology — it's the organizational infrastructure, and what conversations[…]

Why AI & XR Investments Fail to Scale: A Board Evaluation Guide

What Boards Must Evaluate Differently AI, Extended Reality (XR) and Digital Platforms have progressed far beyond the emerging tech stage — and yet, the overwhelming[…]