Generative AI at Work: Practical Productivity for Every Team
Every organisation now contains two workforces: the one quietly using AI assistants without guidance, and the one afraid to touch them. Both are a risk. The productivity is real, but it belongs to teams that learn the craft and the guardrails together — which is exactly how this programme teaches them.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
This two-day programme is generative AI training for employees as they work — practical, hands-on, grounded in the tasks that fill a professional week. Participants build working fluency with AI assistants across four workloads where gains are largest: writing and editing — emails, reports, proposals — keeping the professional’s voice; analysis — summarising documents, comparing options, structuring arguments; research done quickly but verified properly — fluent text is not true text; and meetings, from preparation to minutes to follow-up. Every exercise embeds the guardrails that make adoption safe: what never goes into a public tool, handling confidential and personal data, verifying output before it carries your name, working within the organisation’s AI use policy. Participants leave with tested workflows for their role, not a folder of screenshots. It is an ideal private in-house course: whole teams adopt the same practices and red lines in two days. Delivered in English and French across the Middle East, Africa and Asia — Dubai, Riyadh, Nairobi, Lagos, Singapore — and live online.
What you will do
Who attends
Professionals in every function who write, analyse, research or sit in meetings — which is to say, nearly everyone: managers and team leaders, finance, HR, marketing, sales, operations, legal and administrative staff. No technical background is needed and no prior AI experience is assumed; sceptics are as welcome as enthusiasts. Organisations rolling out AI assistants deploy the programme in-house, team by team, so that capability and policy land together.
Programme agenda
Built for the decisions no textbook prepares you for
I.What these tools are — and are not
- How AI assistants work in practical terms: prediction, not comprehension
- Strengths, failure modes and the tasks where each dominates
- The honest productivity picture: where the hours actually come back
II.Writing & editing workflows
- Instructing an assistant well: context, role, format and audience
- Drafting, rewriting and tone control across emails, reports and proposals
- Keeping your voice: the review pass that makes the output yours
III.Analysis & research workflows
- Summarising long documents and extracting what your decision needs
- Comparing options and structuring arguments with an AI thinking partner
- Verification discipline: sources, cross-checks and catching confident nonsense
IV.Meetings & everyday operations
- Preparation: agendas, briefing notes and the questions worth asking
- Minutes, action lists and follow-up drafted in minutes, checked by you
- Small automations: the recurring weekly tasks an assistant can absorb
V.Privacy, data handling & policy
- The red lines: confidential, personal and commercially sensitive data
- Public tools versus enterprise deployments: what changes and what does not
- Inside the company AI policy: permissions, disclosure and accountability for output
VI.The adoption clinic
- Building your personal workflow set: the five tasks you will do differently on Monday
- Team practices: shared prompts, shared standards, shared red lines
- What comes next: measurement, habit-keeping and the advanced skills pathway
Frequently asked
Do participants need any technical or AI background?
None at all. The programme assumes no prior AI experience and no technical background; sceptics are as welcome as enthusiasts. It is built around the tasks that fill a professional week — writing, analysis, research and meetings — so anyone who does those things will be working hands-on from the first session, in whichever function they sit.
How does the course handle confidentiality and data protection?
Guardrails are embedded in every exercise rather than taught as an afterthought: what never goes into a public tool, how confidential and personal data are handled, how output is verified before it carries your name, and how to work within the organisation’s AI use policy. Capability and safe practice are learned together — that is the design of the programme.
Can the programme support a company-wide AI rollout?
Yes — it is an ideal private in-house course. Organisations rolling out AI assistants deliver it team by team, so that capability and policy land together and whole teams adopt the same practices and red lines in two days. Each edition is tailored to the institution and its own AI policy, and is delivered in English or French.
When does the course run, and how do I get fees?
The course runs on a rolling calendar across the Middle East, Africa and Asia — including Dubai, Riyadh, Nairobi, Lagos and Singapore — and live online; dates are confirmed on request. Fees and team quotations are provided on enquiry, for open-enrolment seats or in-house delivery. Both English and French editions are available.
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One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.