DATA
Your AI strategy probably has a data problem
Why the quality and capture of information often matter more than the model sitting on top of it.
WRITING / NOTES
Things worth
thinking about.
Not a content calendar. These are subjects I’m encountering in the work and want to understand properly enough to write about.
BUYING TECH
A great demo proves almost nothing
The questions I want answered before a new tool gets anywhere near a commercial team.
ADOPTION
Good technology doesn’t automatically get used
What I got wrong about adoption — and why context, sponsorship and reinforcement matter.
WORKPLACE AI
The surveillance problem
The same AI tool can look like useful infrastructure to management and surveillance to the person being recorded.
BUILDING
AI makes building easier. Implementation is still hard.
The technical barrier is falling. Data, behaviour, integration and change management haven’t disappeared.
DECISIONS
Prove the gut feeling
Using AI and existing business data to turn commercial instinct into something testable.
I’ll publish these when I have something useful to say, rather than asking AI to manufacture an opinion for me.