Claude, deployed by an Anthropic partner

Anthropic's partner network is selective, and Hunter BI is part of it. For a Moroccan organisation, this translates into concrete benefits: structured access to Anthropic's teams on questions of architecture and compliance, a grasp of the roadmap that avoids ill-timed investments, and a single point of contact in Casablanca for contracting, deployment and local support.

Our support covers the full cycle. Upfront: qualifying the use cases where Claude excels — analysing long documents thanks to an extended context window, software engineering, tool-equipped agents via MCP — and a fair comparison with the alternatives when the need warrants it; our membership of both partner networks, OpenAI and Anthropic, guarantees advice free of catalogue bias. Next: configuring the Claude Enterprise workspace (SSO, access management, audit logs), connecting to internal data sources, and training teams in French. Finally: measuring adoption and progressively extending usage.

The first driver is software engineering. Claude Code — Anthropic's development agent, usable in the terminal and in development environments — has changed the way teams build, migrate and document their applications. For Moroccan IT services firms delivering projects for Europe and Africa from Casablanca or Rabat, the gain is measured directly in person-days: code generation under review, taking over legacy code bases, testing, documentation. In a sector where the margin hinges on the ratio of billable days, the equation is quickly settled.

The second driver is the handling of large documents. The extended context window of Claude Enterprise makes it possible to analyse entire corpora in one go — a framework contract and its amendments, a full set of specifications, a tender dossier — where other approaches force you to fragment. For a CIO, this simplifies the architecture: less splitting up, less pipeline, more reliability.

The third is MCP, the Model Context Protocol, an open standard initiated by Anthropic: it lets you connect Claude to your systems — document management, CRM, business databases — in a governed and reusable way. The connectors built for Claude then serve your entire ecosystem of agents.

A Moroccan bank introducing a generative AI tool does so under the watch of Bank Al-Maghrib: control of outsourcing-related risks, business continuity, information system security and protection of customer data. Any solution must therefore fit within the internal control framework — and be capable of being documented before the supervisor.

Claude Enterprise brings solid elements to this case: a contractual commitment not to use data to train the models, encryption in transit and at rest, single sign-on, audit logs usable by internal audit, and a security policy that Anthropic documents publicly. We complement these building blocks with the specifically Moroccan work: an outsourcing analysis in the format expected by your risk and compliance functions, qualification of data flows with respect to Law 09-08 and CNDP formalities, and the definition of use cases authorised by level of sensitivity — regulatory synthesis and support for compliance teams ahead of customers' personal data. Several banks in the Casablanca market have structured their AI thinking in exactly this order.

A Claude Enterprise deployment led by Hunter BI follows a three-stage sequence. Scoping, two to three weeks: prioritised use cases, data classification, compliance file, licence sizing. Pilot, four to six weeks: two representative teams — often a development team with Claude Code and a cross-functional team on document analysis — with indicators defined beforehand, not after: time saved per task, perceived quality, weekly usage rate. Roll-out: scaling up department by department, MCP connectors to the priority systems, trained champions, and usage governance in place.

Training is delivered in French, on your real cases rather than generic examples — this is what distinguishes lasting adoption from a six-week curiosity. And because the platforms evolve quickly, we provide a quarterly follow-up: new capabilities, relevant new use cases, and adjustment of the licence estate.