AI capability has moved.
Adoption hasn’t.
Engineer/ish is an AI Adoption Lab. We work with companies of any size to close the gap — through the security, governance, literacy, and readiness work that decides whether AI adoption sticks.
The problem
Most enterprises are doing surface-level AI — isolated pilots, a few internal tools, departmental copilots — without meaningfully changing how the organization actually operates.
The pilots accumulate, the slide decks multiply, and very little of it reaches the place where it would matter: production, in front of real users, generating real outcomes.
The reason is rarely the model. It’s the work around the model — security posture, governance, data sovereignty, AI literacy across the organization, and the operational readiness to put something live with confidence.
By the numbers
- 95%
- of enterprise generative AI pilots fail to deliver measurable financial impact.
- 5%
- of enterprise AI initiatives reach production with measurable operational impact.
About
Engineer/ish is an independent AI Adoption Lab, working with companies of any size. We operate as a small research group — we read, we test, we write, and we try things in the environments where adoption actually happens.
When we work with an organization, we work from the inside — not as outside advisors producing decks. We embed, we build alongside the teams already there, and we leave them able to keep going without us. Dependency isn’t the outcome; capability is.
The four areas the lab watches — where vendor-led adoption most often stalls: security and governance (what it takes for a regulated organization to say yes — threat models, output safety, access and audit); data sovereignty (keeping sensitive data inside the boundary it belongs to); AI literacy (role-specific working knowledge for the people making adoption decisions); and organizational readiness (measuring where adoption creates real value honestly, and the surrounding process changes that decide whether it sticks).
Contact
If there’s a problem you’re trying to solve, or a decision you’re trying to make, we’re happy to talk.
Or write directly: hi@engineeri.sh.