Enterprise AI, rooted in Morocco

Hunter BI is an independent Moroccan advisory and engineering firm in enterprise AI, based in Casablanca and a member of the OpenAI and Anthropic partner networks. This dual membership is rare on the Moroccan market: it lets us recommend the platform that serves your use case, not the one we happen to know how to sell.

Our support covers the entire cycle. Upstream, the framing: an inventory of use cases, data classification, a compliance analysis, and the trade-off between cloud, hybrid and sovereign. Then the deployment: ChatGPT Enterprise or Claude Enterprise licences, RAG engineering on your document repositories, connection to existing systems through MCP, and business agents in production. Finally, the embedding: role-by-role team training, an internal usage charter, governance and measurement of the return on investment.

We work on site in Casablanca and Rabat, and remotely for the rest of the kingdom as well as for the African subsidiaries of Moroccan groups. Engagements are run in French or in English, with deliverables tailored to each organisation's governance bodies — from a bank's executive committee to the board of a public institution.

Deploying AI in Morocco means, first of all, working with Law 09-08 on the protection of individuals with regard to the processing of personal data. Adopted in 2009, it requires prior declarations to the CNDP, governs data transfers abroad and provides for authorisation regimes for sensitive data. Yet a cloud-based AI assistant, by construction, transfers data to servers located outside Morocco: the legal characterisation of these flows must be addressed before going into production, not after.

A reform of Law 09-08 is under way to bring Moroccan law closer to the European GDPR — a direct concern for offshoring players, whose European clients already demand this level of protection. Companies that structure their data governance today gain a head start on tomorrow's text.

A second regulatory layer is added for critical organisations: Law 05-20 on cybersecurity and the National Directive for the Security of Information Systems (DNSSI) driven by the DGSSI, which apply to infrastructure of vital importance. For a bank, a telecoms operator or a public institution, the choice of AI architecture — cloud, hybrid or on-premise — largely follows from this framework. Hunter BI builds this analysis into every framing exercise, working with your legal teams and your CISO.

The national Digital Morocco 2030 strategy makes digital technology — and explicitly artificial intelligence — an engine of growth and employment for the kingdom. It aims to strengthen Morocco's position as a benchmark offshoring hub, to digitise public services and to train digital talent on a large scale.

For a company, this strategy has three concrete effects. First, a signal: the administration itself is digitising its own journeys, and public partners expect private operators to follow. Second, a talent pool: year after year, training programmes for digital professions widen the reservoir of skills available in Casablanca, Rabat and the regions. Finally, momentum: investment in infrastructure — connectivity, data centres on national soil — makes credible the AI architectures hosted in Morocco that were not credible five years ago.

Our reading: the window is open. The Moroccan companies that industrialise their use cases now are building an advantage that will be hard to catch up with, precisely because the national ecosystem is pushing in the same direction.

Morocco is not approaching AI from a standing start. For decades, AUSIM has brought together the information-systems departments of Morocco's large organisations, and it has placed generative AI at the heart of its work. APEBI structures the information-technology and offshoring sector. Gitex Africa, held in Marrakech since 2023, has turned the kingdom into an annual meeting point for the continent's tech scene.

On the operational side, the offshoring platforms — Casanearshore in Casablanca, Technopolis in Rabat — host hundreds of service centres that process considerable volumes of data every day for European clients. These players are on the front line of generative AI: their clients demand it, their margins depend on it, and their compliance is scrutinised on both sides of the Mediterranean.

Moroccan universities and engineering schools feed this movement with skills, and a generation of local AI start-ups is emerging. Hunter BI takes its place in this ecosystem as an advisory and engineering firm: we bridge the global platforms — OpenAI, Anthropic — and the operational realities of the kingdom's organisations.

A Moroccan particularity that international benchmarks overlook: your teams work in French, your customers write in Arabic — often in darija — and your parent companies or clients demand English. An AI deployment that handles only one language out of three fails in silence.

The current flagship models from OpenAI and Anthropic handle French and standard Arabic to a high standard, and cope better and better with dialectal variants. But “coping” is not enough for production use: we systematically test the multilingual use cases — replying to a customer in darija, summarising a contract drafted in Arabic, a management report in French — before any deployment, and we build the necessary safeguards whenever an edge case is identified. It is often this criterion, more than price, that decides between the platforms for Moroccan use.

Not all Moroccan organisations face the same constraints, and there is no single architecture. Managed cloud — ChatGPT Enterprise, Claude Enterprise — offers the best capability-to-timeline ratio for the majority of private companies, with solid contractual guarantees that data will not be used for training. The hybrid approach keeps the most sensitive data on national soil while drawing on the leading-edge models for the rest. Finally, the sovereign approach — open models hosted on-premise or in a Moroccan data centre — is the natural choice for organisations subject to the DNSSI, certain banking activities and the sovereign public sector.

The choice is made along three axes: data classification, sector regulatory requirements and the targeted use cases. We formalise this trade-off in a decision document that your bodies — risk committee, IT department, legal department — can audit. The six detailed pages below set out each of these trajectories for the Moroccan context.