POV
What we believe about the AI era.
Four essay series on putting AI to work in real operations. Written for executives whose investment decisions in 2026 will decide whether their companies sit on the right side of the new model, or the wrong one.
Executive Position Papers · 01
Four essay series. One argument.
01
What It Actually Takes to Put AI to Work
Production AI is not the model decision, the framework decision, or the cloud decision. It is a series of executive decisions about authority, accountability, and operational discipline. This series walks through what those decisions actually are.
Essays in this series:
- Production AI is an executive question.
- How to choose the right authority boundary for an agent.
- Where human judgment should live in an AI-enabled operation.
- What audit-defensible AI actually looks like.
02
How to Fund AI from Inside Your Existing Budget
Most CFOs are now solving for the same equation: how to fund a multi-year AI program without growing the IT budget. The answer is in the building. The legacy database license. The data warehouse renewal. Each line is a candidate for reallocation.
Essays in this series:
- Why most AI initiatives get unfunded after year one.
- The legacy database cost-structure problem, in plain English.
- Reallocating database and ERP spend to AI initiatives that compound.
03
Why Most Enterprises Will Fail at Agentic AI
Most enterprises will fail at agentic AI for the same reason most enterprises failed at data: they treated the foundation as a separate workstream that could happen later. Agents inherit the data layer's problems. The data layer is the agentic layer.
Essays in this series:
- Why the data foundation decides what AI can do.
- The retrieval architecture executives need to understand.
- Grounding, lineage, and the audit story.
- Why agentic platforms inherit data problems.
04
What We Believe About the AI Era
The firm's worldview. What an agent-native firm actually means. Why this delivery model exists at this moment. What we believe will be true about enterprise IT in 2028 : and what executives should be doing in 2026 to be on the right side of that picture.
Essays in this series:
- What Mactores does in the AI era.
- The proof-of-value model that replaces strategy decks.
- Why the next decade favors firms built around AI from day one.
- The next-decade thesis.
Living Insight · 02
The agentic AWS landscape, refreshed.
Most firms publish quarterly PDFs. We publish a page that refreshes as AWS ships, as agentic capability matures, and as our own delivery learns. It is itself a demonstration of how our delivery model works.
“Most firms have added AI to traditional consulting. We were built around AI from day one. The difference is the delivery model.”