Part 2: You Own the Portfolio. So Why Does It Take Days to See How It’s Doing?
Part 1 of this series made the case that the data infrastructure gap — not the AI model — is what limits most PE firms. The data exists. The systems exist. The problem is that no single layer connects them, which means any question crossing system boundaries still requires an analyst to assemble the answer by hand. […]
Part 1: Your AI Can’t Read Your Deal Pipeline. Here’s Why.
The Demo Always Works I’ve watched this scene play out more than once. A PE firm brings in a vendor — or asks their existing software provider — for an AI demo. The pitch is compelling. The model flags anomalies across data room documents, surfaces cross-portfolio performance comparisons, and pulls sector benchmarks faster than any […]
The Relationship Between HR & AI
AI will not only transform HR; it will detonate the traditional operating model of the function itself. Traditional HR is inherently vulnerable to AI because it sits on a mountain of high-volume, highly structured, yet deeply fragmented data (payrolls, resumes, benefit forms, compliance logs). However, unlike other business functions, HR operates under strict regulatory and legal scrutiny where decisions must be demonstrably fair and […]
Proper AI Governance is an Operating Model
A group of principles and policies in support of AI Governance is not sustainable. Currently, many organizations are approaching AI governance like a static compliance checklist, an IT security gate, or a set of abstract ethical principles written on a slide deck. Policy establishes intent. Governance requires mechanisms to execute that intent continuously. This distinction […]
The Hidden Bias Undermining Your AI Adoption Strategy
Across industries, leadership teams are accelerating AI adoption, launching pilots, and pushing toward scale. The challenge is not ambition; it is traction. Many organizations are doing the right things on paper and still seeing adoption stall once programs move beyond initial enthusiasm. What often gets diagnosed as a readiness problem is something else entirely. AI introduces new […]
Your Azure Landing Zone Isn’t Broken. It’s Just Not Ready for AI.
The Gap Nobody Expected Over the past decade, enterprise organizations invested heavily in getting Azure right. They aligned to the Microsoft Cloud Adoption Framework (CAF) and the Well-Architected Framework (WAF), built out hub and spoke network topologies, designed subscription hierarchies, locked down role-based access control, and put governance policies in place across their environments. These were […]
Three AI Strategy Questions Every Leadership Team Should Sit With
Across industries, leadership teams are feeling pressure to adopt AI tools, launch pilots, and demonstrate progress. In many cases, that momentum is driven less by a clear strategic intent and more by the sense that standing still is no longer an option. What often gets lost in that urgency is alignment. AI introduces new capabilities, […]