I work at the point where ambition meets operating reality, helping small organisations make technology useful before making it bigger.
My work across operations, programme development, training and SME transformation taught me to look past the tool and ask what an organisation can genuinely absorb. I pay attention to how work actually happens, where decisions stall, which processes break down and what must change before technology can deliver value.
That operating perspective shapes how I approach AI. I focus on whether an organisation has the internal capacity to use it well and the judgement to know where it belongs. My doctoral research extends this work by examining what Mauritian SMEs need in place before AI can create lasting value.
Workflows, handovers, bottlenecks and the hidden effort behind a process.
Skills, ownership, time and the conditions that make adoption stick.
Clear choices about value, risk and what should happen next.
A connected body of work across AI adoption, intelligence and ecosystem development.
Built from Mauritius, connected outwardObservations on AI readiness, small firms and the reality behind adoption.
All articlesBefore setting next year’s AI priorities, review the operating conditions that determine whether adoption will create value or simply create more activity.
Read articleThe best question is not whether AI can automate a task. It is whether the business should remove human judgement from that moment.
A useful AI budget is not a software shopping list. It starts with the work to improve, the capacity to change it and the cost of responsible use.
A single AI workshop can create confidence, but capability comes from practice in real work, supervision and shared standards.
