MOORE MauritiusShort-term, isolated AI use cases win the sprint.
Long-term, 95%* still show zero effect on the business.
New · AI Strategy Workshop with Moore Mauritius
* of GenAI initiatives fail to deliver measurable financial value. MIT, 2025.
Organization before tool selection — an ongoing process, not a closed project.
What AI enables, and how.
Tied to strategy, built to move the numbers.
Realigned in roles, process, and mindset.
The direction is set at the national level. What happens next is decided inside each organization.
of Mauritian CEOs expected AI to lift profitability within twelve months. PwC Mauritius CEO Survey, 2025.
of CEOs worldwide report no significant financial benefit from AI so far. PwC Global CEO Survey, 2026.
more likely to see meaningful returns — organizations with strong AI foundations. PwC, 2026.
The gap is rarely the technology. It's the foundation underneath — and that's exactly where most initiatives struggle.
Early euphoria, then a drop once the first real hurdles hit — usually organizational, not technical. That drop is universal. It happens regardless of how well-prepared a company is. What decides the outcome is how that drop gets managed.
A common pattern sits right at the start, before the curve even begins: a few employees are already experimenting with AI tools, and leadership reads that as proof the whole organization is ready. What follows are isolated, technology-driven use cases with no real business case behind them — and close to no measurable return.
Four phases — a rough sequence in principle; in practice, the phases overlap.
The AI strategy is derived directly from corporate goals. That produces a clear AI vision and mission — the vision defining what AI should ultimately enable for the business, the mission spelling out, in practical terms, how the organization gets there.
It starts with a strategy workshop with leadership, followed by further sessions with the relevant stakeholders as the strategy cascades through the organization — how many depends entirely on the size of the company. The goal from day one: clear objectives, defined in numbers, not slogans.
Vision — "AI frees our people to take on higher-value roles and makes the organization more adaptable."
Mission — "Automate recurring, low-judgment work first, and reinvest the time directly into revenue-generating activity."
This is where most approaches stop short.
Sustainable adoption needs both sides at once. Top-down sets the direction; bottom-up is what makes it stick — neither one alone is enough. The change management behind that shift is just as decisive as the strategy itself, and it only works when leadership visibly backs it the whole way through, not just at the kickoff.
An AI champion is carefully selected and specially trained — a power user who already stands out in daily work, not someone appointed by title. What they bring into the organization isn't technical know-how alone; it's the willingness, the motivation, to bring colleagues along with them.
The shift runs both directions at once. Leaders need their own AI targets in their objectives — not just their teams' — because their role changes as employees, working with AI, reach a significantly higher level of output. Leaders' own freed-up capacity belongs in that same plan, redirected as deliberately as anywhere else in the organization — not exempted from the discipline being asked of everyone else. At the same time, employees' own sense of ownership shifts: reaching an output level that once required an entire team confers a new degree of ownership, regardless of formal position in the org chart.
The relevant processes get analyzed for complexity and business impact. From that, a use-case backlog is built and prioritized.
The top use cases get delivered — coordinated internally, with external resources directed where they add the most value.
The end result isn't a one-off project — it's a continuous cycle, with a feedback loop back to strategy at every turn.
Continuous improvement, with feedback back to strategy.
Metrics per process — throughput time, error rate, degree of automation.
Does the process still pay into the corporate goals it was built for? Still a priority?
Priority goes to the processes the champion directly owns — including use cases already live, checked for real improvements rather than chasing every new tool. AI champions bring the technological input, working with IT; new use cases from elsewhere in the unit flow in alongside them.
The roadmap updates, and the cycle begins again.
A new view on ROI-driven use cases
Developed by Stratynex together with Moore Mauritius — to walk leadership and teams through the strategic process itself, shift the mindset, and leave with a first set of concrete outputs.
for eligible Mauritius-registered businesses. Early-bird pricing available. MQA approval: in process.
For leadership and teams. Individualized formats available on request.
Leadership, business unit leads, AI champions, and IT. Designed for financial services firms and SMEs.
Most AI initiatives don't stall because the technology fails. They stall because nobody agreed on what AI is supposed to achieve for the business before the first tool was chosen. The result is exactly the curve above: early euphoria, a dip, and then either a strategic anchor — or a slow flattening.
The workshop is where that agreement gets built: before budget flows into tools, or — if a project is already running — before the dip turns into a stall.
The single most important thing that changes in the room is the question people ask about AI.
Technology and individual "shiny objects" — solutions that look impressive but rarely reflect the actual complexity of the business.
Strategic relevance and measurable business impact, anchored in corporate goals.
AI strategy usually breaks in the gaps between roles: leadership thinks in goals, business units in processes, champions in tools, IT in infrastructure. The workshop puts all four in one room, working on the same example — so they leave with one shared picture instead of four separate ones.
A clear framework for AI at the strategy level — before committing to a full project.
A way to see their own processes through a strategic lens, rather than reacting to isolated tool requests.
A first experience thinking in use cases and business impact rather than tools — the mindset shift the later implementation depends on.
Early strategic visibility into where implementation is heading, so infrastructure and data readiness are addressed ahead of time.
Not a lecture about AI — half a day in which leadership and teams experience first-hand how strategy, use cases, and organization come together.
From corporate goals to a clear AI vision and mission — built live on a real example. You see the strategic anchor being set before a single tool is discussed.
Raw use-case ideas weighed for business impact and complexity, right in the room. You leave knowing which ones move the numbers — and which ones only look impressive.
AI champions, new leadership roles, freed-up capacity redirected into growth — the difference between one successful pilot and a new way of operating.
Format: an interactive mix throughout — impulse talks paired with hands-on exercises. Everyone works through the material, not just listens to it.
In the ideal sequence, the workshop comes first — then a strategy project, then implementation, then the continuous improvement cycle above. In practice, it's more flexible than that.
The formal case for the approach sits above. This is the shorter, personal version of how it started.
Thomas leads TS Strategy, advising clients across Germany, Austria, and Switzerland. A first visit to Mauritius four years ago left a personal impression; further visits last year turned it into a conviction, well before it became a business case. That personal pull met a professional one — a market moving seriously on AI, with government backing behind it — and this year brought the decision to relocate fully and build Stratynex alongside TS Strategy.
MOORE MauritiusMauritius offers outstanding conditions for anchoring AI the right way: an internationally connected business location, and a government that has put AI adoption, governance, and capability-building on the national agenda.
That is what brought Thomas Schwarzmann and Stratynex here — personally as much as professionally. Moore Mauritius brings what no newcomer can: deep roots and trusted relationships in the local business community, as the Mauritius member firm of Moore Global.
Together, we decided to start where it matters most — with the AI Strategy Workshop, each side bringing its own strengths to it.
Our ambition goes further than a single workshop: to anchor AI strategically in Mauritius, and to make sure it delivers measurable results — not just activity.
Those who chase quick, isolated AI use cases win a sprint. Those who anchor it strategically win the business model of the future.
Every organization's starting point is different — the mix of these building blocks, and where to begin, depends on where the organization stands today.
Workshop dates and locations are being finalized. Register to hear first — or get in touch directly to talk through where your organization stands today.
Register for workshop updates ↗Already registered? You're on the list.