Home/About
AI Strategy Consultant in Mauritius

Faaleh M. Sookye

I help organisations adopt artificial intelligence with clarity, governance, and practical business value. The work sits at the point where strategy, readiness, training, and execution meet.

Profile

Grounded AI guidance for organisations that need more than enthusiasm.

Faaleh M. Sookye is an AI strategy consultant based in Mauritius, focused on helping organisations adopt artificial intelligence with clarity, discipline, and practical business value.

His work sits at the intersection of AI readiness, governance, strategy, training, and execution. Rather than treating AI as a software purchase or a trend to follow, Faaleh helps leaders understand where their organisation truly stands, what risks must be managed, and which use cases are realistic enough to deliver measurable value.

With more than 15 years of advisory and strategy experience, Faaleh works with SMEs, leadership teams, professional services firms, education providers, and operational teams that need a grounded path into AI adoption. His approach is shaped by the realities of Mauritius and other Small Island Developing States, where organisations often face resource constraints, lean teams, fragmented data, and limited internal technical capacity.

Faaleh is also a DBA candidate researching AI adoption among SMEs in small island and developing economies. This research informs his consulting practice, allowing him to combine academic insight with practical field experience. His work is not built around imported enterprise playbooks, but around the conditions under which Mauritian organisations actually operate.

Advisory Focus

Practical work across readiness, governance, training, and adoption.

The objective is to help organisations avoid rushed implementation, reduce operational and reputational risk, and build the internal capability required to benefit from AI over time.

AI readiness

Assessing people, workflows, data, governance, and use-case maturity before tools are selected.

AI governance

Designing practical rules for responsible AI use, data boundaries, human review, and accountability.

AI training

Helping executives and teams use generative AI safely through practical workshops and applied exercises.

Workflow adoption

Turning AI interest into useful operating changes, pilots, roadmaps, and measurable capability.

Mauritius and SIDS Context

Built for organisations operating with real-world constraints.

The advisory lens is intentionally local. Recommendations account for lean teams, limited specialist capacity, data fragmentation, governance realities, and the need to translate AI ambition into work that teams can actually sustain.

Discuss Your AI Readiness
Chat with Me