Data & Analytics
How Does a Semantic Layer Unlock Your Data for Agentic AI
Teams connect an AI to their warehouse expecting instant answers and get confident SQL that counts the wrong things. The model is rarely the…
AI Implementation
AI Implementation
What 13 Years of Building in Regulated Industries Taught Us About AI That Most Firms Get Wrong
The AI failure mode we see most often has nothing to do with the model. It has everything to do with what sits underneath…
AI Implementation
The 100-Day Diagnostic: What PE Firms Get Wrong Before the AI Strategy Starts
The most valuable moment in a PE-backed company’s technology journey is the 100 days after acquisition. Most companies spend it writing strategy decks. The…
AI Implementation
Private Equity is Committed to AI: Here’s Why Most Portfolio Companies Aren’t Ready to Collect
Somewhere in a boardroom right now, a private equity Operating Partner is presenting a slide deck with the words “AI-Driven Value Creation” on the…
Data & Analytics
When to Move Your Data Out of Spreadsheets?
As a data engineer, I was trained to be skeptical of spreadsheets. Not because they are inherently bad tools, quite the opposite. The problem…
AI Implementation
AI in Product Analytics: What Changes for PMs, and What Doesn’t
"Without data, you're just another person with an opinion." That phrase became a cliché because it's true. And it remains true in the generative…
AI Implementation
Scaling AI: A 6-Month Path from Champions to Company-Wide
Every couple of months I get a version of the same call. A CTO rolled out Claude Code or Cursor to the engineering org,…
AI Implementation
Harness Engineering: Why “Done” Isn’t the Agent Saying So
In November 2025, Justin Young at Anthropic published a post on what they had learned running long-running coding agents. One observation in that post…
AI Implementation
Skills vs. Subagents: The Layer Most Teams Confuse
I had a conversation with a tech lead at a client last quarter that crystallized why this article needed to exist. They had spent…