Essays and field reports from the practice.
Opinionated takes on AI strategy, data governance, dashboard trust and the org-design behind the systems we build. Plus the occasional anonymized field report from inside an engagement.
Your AI strategy is fragmenting along department lines.
When every function buys their own AI tools, you get duplicated knowledge, conflicting models and no compounding learning. The org-design fix matters more than the tooling choice.
The warehouse is not the product. The decisions are.
A short argument for designing analytics stacks around the questions leadership actually asks, not the tools you happen to have standardized on.
Your dashboard is lying to you.
Your three teams are looking at three different revenue numbers and nobody is sure which is right. A contrarian take on what 'data-driven' actually requires.
Notes from a two-week Blueprint with a DTC brand.
What we looked at, what we found and the three recommendations that shaped what got built first.
Why marketing is reconsidering autonomous AI agents.
Marketing was supposed to be agentic-first. A practical look at what actually shipped, what didn't and why the autonomous-agent pitch is getting a more careful reception.
MCP, agents and the quiet case for boring pipelines.
AI agents are only as good as the data contracts behind them. A practical view on what to automate first and why.
Why your interns get AI faster than your VPs.
AI fluency and decision rights are inversely correlated in most organizations. How to capture the AI knowledge sitting on your most junior team.
Outcomes start with a Blueprint. We plan, build and run from there.
Thirty minutes with a 829 Analytics partner. You leave with a prioritized view of what to build first, what's worth waiting on, and the business metric anchoring each move. Whether or not we end up working together.