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 Agentic Maturity Ladder: From Assistance to Autonomy
In our previous post, we introduced the three pillars of trust – contracts, evidence, and gates, that make agentic software development safe. But two questions remain: “How do we know when we’re ready for more autonomy? And what’s the ROI?” The answer isn’t a feeling. It’s a ladder. A progression of phases where each rung […]
Why your Copilot Studio Knowledge Agent Might Be Struggling to Deliver
Your team has built a knowledge agent in Copilot Studio. It’s connected to your SharePoint library, the instructions are dialed in, and everything looks right. Then a user asks a straightforward question, and the agent responds with “I don’t know,” even though you’re certain the answer exists in your documents. This is one of the […]
The Future Isn’t Vibes, It’s Agentic
Last week I read a thoughtful piece titled “The Vibes Are Off”, which captured something developers everywhere have been feeling: the initial magic of prompting AI tools to “write some code” is starting to fade. Vibe-driven coding — typing a vague description into a chat box and hoping for the best — works for small […]
What Makes Development “Agentic”?
In our previous posts, we explored the path from traditional to AI-assisted to agentic development. Now let’s unpack what “agentic” actually means in practice, and what truly separates it from simply using AI tools. Agentic development represents a fundamental evolution in how software gets built: from AI that assists developers, to AI that acts alongside […]
The Three Stages of AI-Powered Development
In our previous post, “The Future Is Agentic,” we explored how AI is transforming the way software is built. This follow-up helps you pinpoint where your team stands on that curve—and what it takes to move forward. Two development teams. Same headcount. Same budget. One ships features 3-5 times faster than the other. The difference? […]
The Future is Agentic: Your Complete Guide to AI-Powered Software Engineering
In 18 months, the gap between companies practicing agentic development and those still coding traditionally will be insurmountable. That’s not hyperbole. It’s what’s already unfolding across software teams worldwide. While some teams are already orchestrating AI agents that write, review, and deploy code autonomously, others are still debating whether GitHub Copilot is worth the investment. […]
Ready to Scale AI? First, Assess Your Readiness Baseline
Scaling AI Takes More Than Great Tech The momentum around AI adoption is undeniable. New tools are being tested, use cases are expanding, and teams are eager to accelerate progress. But when it comes to scaling AI across the enterprise, that momentum often stalls. This slowdown isn’t typically due to a lack of interest or […]
The 8% Problem and Why AI Fluency in Leadership is an Urgent Business Priority
The Growing Gap in the C-Suite Only 8% of today’s business leaders are considered fluent in AI. That statistic might seem surprising when you consider the rapid pace at which artificial intelligence has evolved from concept to capability. In boardrooms and strategy sessions across industries, the pressure to “do something with AI” is palpable. But […]