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 […]
Agentic Architectures: Designing Systems of AI Agents That Actually Work
The pace of AI innovation is relentless. New models, tools, and capabilities seem to appear every week. But beyond the noise, a more fundamental shift is underway. Organizations are moving from AI assistants to systems of AI agents. While assistants help individuals work faster, agents are designed to act—executing tasks, coordinating workflows, and driving outcomes. Unlocking real value from this […]
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 […]
Why SOC 2 Matters in the Age of AI-Driven Transformation
Every organization embracing cloud, AI, and modern digital delivery eventually runs into the same question: How do we move fast without creating risk? The acceleration of AI has widened a trust gap across industries. Boards want innovation. Regulators want assurances. Customers want transparency. And technology leaders are left balancing urgency with responsibility. In financial services, […]
Accelerating AI Value through Innovation Velocity
Every executive investing in AI eventually faces the same uncomfortable question: Are we getting real returns, or just spending on the latest trend? Across industries, organizations are investing millions in AI, but most still struggle to connect those investments back to meaningful business results. A development team may ship 50% more code after adopting […]
Rethinking Consulting in the Era of AI: Why ‘Build With’ Beats ‘Build For’
The 80/20 Flip Ten years ago, building enterprise technology solutions meant 80% of the effort went into infrastructure: standing up servers, configuring platforms, wiring integrations. Only 20% was left for features that made a visible difference to the business. That ratio has flipped. Cloud-native platforms and AI toolsets allow foundation work to be deployed in […]
AI Readiness Checklist for Data Leaders
There’s no shortage of interest in AI across the enterprise. What’s less common is a clear understanding of what it takes to turn that interest into meaningful, scalable results. Many organizations are still stuck in the early stages, delivering isolated proof of concepts that never quite make it to production. The technology might be sound, […]
Data Catalogs Are the Underrated Tool in Your AI Toolbox
For many organizations pursuing AI initiatives, the road from pilot to production is lined with proof-of-concepts that never quite scale. The models work, the use case is strong, but momentum stalls just short of the finish line. The reason is rarely technical. It’s organizational and more specifically, it’s the data. While conversations around AI readiness […]
AI as a General Purpose Technology: Transforming Business in the 21st Century
Every few generations, a technology emerges that fundamentally reshapes how businesses operate and create value. The steam engine powered the Industrial Revolution. Electricity transformed manufacturing and daily life. Computers revolutionized information processing and communication. Today, Artificial Intelligence (AI) stands as the next general purpose technology (GPT – not to be confused with the technical acronym […]