Strat Consulting

Insights

Writing on AI adoption, operating models, and the practice of getting them right.

← Back to home

Your solution to a problem is incomplete until you have defined the wrong outcomes

10 August 2026 · 5 min read

A maintained evaluation harness is the most useful control on an AI workflow. Building one is less about engineering than judgment: knowing what a wrong answer looks like, and writing that boundary down so the software carries it every time.

Read the article →


AI workflows look cheap today. CIOs need a test for when they don't.

4 August 2026 · 7 min read

AI's subsidised pricing will not last. A commercial feasibility test for the people who sign off AI spend: stress each workflow against the day the discount ends, and map it by how hard it would be to switch provider.

Read the article →


AI won't grow your business. It can make growth cheaper to deliver.

27 July 2026 · 8 min read

AI's job in a growing company is not new revenue but making growth cheaper to deliver. GRADE is a five-gate test for which workflows are worth funding.

Read the article →


AI is an amplifier, not an escalator

23 July 2026 · 7 min read

Give two organisations the same AI tool and you get very different returns. Why your operating model, not the tool you buy, now decides your AI return.

Read the article →


The better the AI got, the closer I had to watch it

21 July 2026 · 8 min read

I built a production platform without writing a line of code, to test whether AI can replace the human. The productivity gain was real. So was something I did not expect.

Read the article →