Corporate AI Training — Hands-On, In Arabic, On Your Workflows

Your COO came back from a conference with a directive: AI training for every department this year — now a KPI on your scorecard with a deadline. Your inbox holds three quotes: a Big-4 "AI literacy journey" at $10K+ a day of English slideware, a local training house reselling a stale "Introduction to AI" certificate course, and last year's Coursera enterprise license with an 11% completion rate you've stopped reporting. Meanwhile a department head has already asked, in Arabic, whether any of it will help his team answer customer messages faster — and none of it will.

The budget and the mandate are real: Saudi corporate training runs roughly $3.85B a year, SDAIA targets 20,000 AI specialists, and Microsoft has committed to certifying 100,000 people in UAE government. But MIT NANDA's research found that 95% of enterprise gen-AI pilots produce no P&L return — and training that stops at literacy feeds the same statistic. Free courses teach AI. Nobody teaches your company AI.

Not seat-hours, not certificates — shipped work. Every department builds on its own real material: customer service drafts dialect-appropriate WhatsApp and email replies, finance extracts invoice data into spreadsheets, HR screens CVs and drafts Arabic offer letters, operations builds a Q&A assistant over internal policies, and marketing generates bilingual campaign variants. The sponsor walks away with a ranked automatable-workflow shortlist scored by effort and impact — a board-ready artifact and the natural next step into an AI Readiness Sprint.

Every demo in the room comes from a live commercial deployment, and the trainer is the engineer who shipped it — ask what broke in production; that is the credential. Materials are written in Modern Standard Arabic with Gulf-dialect awareness in every example — a real customer message, not a translated one — and delivery is fully Arabic, fully English, or bilingual on request. Global platforms are English and generic; local training houses are Arabic and non-technical; engineers who build production AI don't usually take training jobs. We occupy the empty intersection, and roughly 95% of global AI vendors cannot do this.

Assess → Pilot → Prove → Scale → Operate. Before the workshop, a sponsor intake call and a participant workflow survey customize the agenda to two department tracks, with sample data collected under NDA. Day 1 builds foundations on the team's own examples; day 2 runs department build sprints, ends with participant demos, and gates the guarantee on a same-day survey. In the following 30 days, recorded materials and the ranked shortlist arrive, plus a follow-up call — handing the sponsor a costed path from training straight into production.

The Executive AI Briefing (1 day, up to 15 leaders) covers use-case literacy and governance for board alignment. The flagship 2-Day Applied AI Workshop (up to 20 participants, plus a 30-day follow-up) builds custom exercises on your own data across two department tracks and delivers the shortlist report. The AI Enablement Program (3-5 training days across 4-8 weeks, multiple cohorts) extends the workshop company-wide once the first cohort proves out. Remote delivery prices at the lower end of the band; on-site GCC with deep customization sits at the upper end; the day rate never goes below $3,000. Travel outside KSA/UAE/Egypt is billed at cost, and payment is due in full before kickoff.

Before our first published case studies, we show you the artifacts themselves: the real hour-by-hour agenda, a sample automatable-workflow shortlist with clearly labeled template data, the published post-workshop survey behind the guarantee, and a trainer profile listing systems currently in production. We never fabricate logos or testimonials — where client proof doesn't exist yet, you get the methodology and the artifacts instead.

Workshops train on ChatGPT and Claude enterprise workspaces, Microsoft Copilot for 365-heavy organizations, n8n for no-code automation, WhatsApp Business workflows, RAG and Q&A over internal documents, and HUMAIN Chat on ALLaM 34B for organizations with data-sovereignty preferences. Every workshop includes a PDPL-aware AI usage policy template the client keeps. Training environments are sandboxed, client sample data is NDA-covered and access-limited, and it is deleted after the engagement.