Practical perspectives, case studies, and strategic thinking from the team behind ProPass, AkiliTutor, ARIA, and ARIA-Call.
The dominant narrative around AI transformation assumes you need to replace your legacy systems to benefit from AI. For most organisations — with constrained budgets, limited ICT teams, and deeply embedded operational processes — that assumption is not just wrong. It's dangerous. Here's the alternative.
Read article →AkiliTutor was first built for one child — Solomon's own son, Christian. This is what we learned from 30 days of daily sessions, and what surprised us most about how children interact with AI tutors differently from adults.
The Children of Grace assignment was a traditional internal audit — workplans, finance handling reviews, cash management, school fees controls, requisition processes. Classic financial consultancy. But woven through it was a question we kept returning to: where exactly does AI make this better without making it unrecognisable? The answer surprised us.
Professional exam preparation is different from academic studying. The question formats are specific, the marking criteria are predictable, and the examiner expectations are publicly documented. That makes it uniquely suited to AI tutoring — if the AI is calibrated correctly.
Before buying any AI product or investing in AI training, you need to know where you actually stand. Here is the exact framework we use with clients during discovery sessions — and how you can run a version of it yourself.
We ran 100,000 sample call centre tickets through our intelligence system. The patterns we found — and the revenue at risk we quantified — changed how we think about what call centres are actually missing.
When an AI vendor tells you to replace your core system before you can benefit from AI, that's not a technical requirement — it's a commercial one. Here's what the real cost looks like, and what the alternative is.