The working foundation — one method your whole team can use on Monday morning.

The problem this programme solves

Most organisations do not have an AI tools problem. They have an AI judgement problem. Licences get bought, a few enthusiasts produce impressive demos, and six months later the weekly report still takes as long as it did before.

AI for Business fixes that by teaching one method the whole team shares. Not a tour of features — a way of thinking about which work belongs to a machine, how to brief it properly, and how to tell when the answer is wrong.

How the two days run

The programme is 70% hands-on. Participants spend most of the session working on tasks from their own week, on their own documents, with Ahmed reviewing output live. Theory appears only where it changes a decision — why models hallucinate, why context beats cleverness, why a longer prompt is usually a worse one.

Every 90 minutes there is a demonstration designed to genuinely surprise the room: a task that normally takes an afternoon, completed and verified in four minutes, on the client’s own data.

What the team leaves with

A shared prompt library built during the session, three rebuilt workflows per participant, a verification routine, and a written 30-day adoption plan. Not a certificate and a folder of slides.

What you leave with

  • Write prompts that produce usable work the first time, using the POCAB framework
  • Ground AI output in your own documents and data instead of the model's memory, using GCSE-F
  • Judge when AI output is wrong, thin, or invented — and correct it in one follow-up
  • Rebuild three recurring tasks from your own week as repeatable AI workflows
  • Apply a shared standard for what may and may not be put into a public AI tool

Programme outline

01

What the model is actually doing

  • Why a language model produces confident errors, in plain business terms
  • The three failure modes that cost managers the most time
  • Where AI genuinely beats a person, and where it quietly does not

02

POCAB — structuring a single prompt

  • Persona, Objective, Context, Audience, Boundaries
  • Rewriting a weak prompt live, in front of the room, against a real brief
  • Building a reusable prompt library for the team's recurring work

03

GCSE-F — working over documents and data

  • Goal, Context, Source, Expectations, Format
  • Making the model answer from your files rather than from memory
  • Live demonstration on a real dataset the client brings to the session

04

Verification and judgement

  • Chain-of-verification and self-critique as everyday habits
  • A five-minute review routine before AI output leaves your desk
  • What must never be pasted into a public AI tool

05

Building your own workflows

  • Each participant rebuilds three tasks from their own job
  • Peer review of the results in the room
  • A 30-day adoption plan the team leaves with

Who it is for

  • Department heads and functional managers
  • Professional teams in marketing, finance, HR, operations and customer service
  • Organisations that have bought AI licences and seen little change in output
  • Teams that need one shared standard rather than scattered individual habits

Frequently asked questions

Who is the AI for Business course for?

It is built for managers and professional teams with no technical background — marketing, finance, HR, operations and customer service. Participants need no coding and no prior AI experience. Sessions work best with 10 to 25 people from the same organisation.

How long is the AI for Business course?

The standard format is 16 hours delivered across two days. It can be compressed into a single intensive day or spread over four half-days where operational cover is difficult. Exact scheduling is agreed with the client.

Is the course delivered in Arabic?

Yes. Ahmed Amrousy delivers verbally in Arabic with English slides and English materials, which is the format most Egyptian and Gulf corporate teams prefer. Full English delivery is also available for mixed-nationality teams.

What makes this different from a free online AI course?

Two things. The session runs on your own data — participants work on live company tasks rather than generic examples — and it teaches judgement, not tool tours. Tools change every quarter; POCAB and GCSE-F do not.

Do participants need to buy AI licences first?

No. The session can run entirely on free tiers, and Ahmed demonstrates across Claude, Copilot, NotebookLM and ChatGPT so the team can see which fits their existing stack before committing budget.

How much does the AI for Business course cost?

Pricing depends on team size, seniority, duration and city, so every programme is quoted individually. Send the team size and your objective to ahmedamrousy@aucegypt.edu and you will receive a written proposal with agenda, duration and price within two working days.

Can the course be delivered online?

Yes. Menova delivers this programme live online as well as on-site, and the 70% hands-on structure is preserved either way — participants still work on their own material during the session.

Talk to Ahmed

Every Menova programme is scoped to the client. Book a short call — or send the team size, seniority and objective — and you get a written proposal with agenda, duration and price within two working days.