Case studies
The useful bit is what changed.
Not inspirational adjectives. Not “transformation”. What was broken, what we tried, what worked and what we would not repeat.
Case 01
FCI London: AI inside a real operating business.
The laboratory was our own cash flow.
Sales, marketing, lead handling, content, operations, reporting and internal knowledge have all been places to test what AI can genuinely do.
- Faster lead response.
- Reactivation of dormant opportunities.
- Workflow automation.
- Content and marketing systems.
- Internal knowledge retrieval.
- Repeated attempts to reduce software sprawl.
What matters more than the wins
We bought things we should not have bought. Built things we did not need. Automated things that were easier for a human. That is part of what you are paying not to repeat.
Patterns we now look for.
Revenue
Speed matters.
AI is most useful where a faster, better response has clear commercial value.
Cost
SaaS is not sacred.
Sometimes the best AI project is removing three tools rather than adding a fourth.
Adoption
Humans remain inconvenient.
A brilliant workflow nobody uses is still a failed project.
More cases will be published here.
Only where we can explain the problem, intervention and outcome without inventing suspiciously perfect percentages. Until then, fewer real cases beat a wall of decorative logos.
Bring us something worth thinking about
What is your empty space?
AI. Growth. A system. An investment. Something everybody knows is broken but nobody has fixed.
Tell us what is missing