Training and advisory

Programmes built around the work a team already does

Mohannad Hesham trains executives and their teams to use AI in their day-to-day work, and advises organisations on adoption and governance. The material people practise on is their own.

  • A foundational AI workshop for sector heads, Misr El Kheir Foundation, Cairo
    A foundational AI workshop for sector heads, Misr El Kheir Foundation, Cairo
  • Working a wall of sticky notes with the team at Halwani Brothers, Jeddah
    Working a wall of sticky notes with the team at Halwani Brothers, Jeddah
  • Teaching at Impact U by stc, Riyadh
    Teaching at Impact U by stc, Riyadh
  • Working through a theory of change with two founders, Riyadh
    Working through a theory of change with two founders, Riyadh
  • Working the room between exercises, Impact U by stc, Riyadh
    Working the room between exercises, Impact U by stc, Riyadh
  • A session with the technology team, Hassan Allam Properties, Cairo
    A session with the technology team, Hassan Allam Properties, Cairo

Why AI programmes stall

Most stall for the same three reasons, and none of them are problems with the tool. His programmes begin with what an organisation is trying to achieve, and which part of that AI can help with. Every format below is built to address all three.

  1. 1

    The process around the tool never changed

    What his programmes doThey start by mapping how the team’s work flows today, then pick one recurring task that costs the team time and change the process around it.

  2. 2

    The people using it were never prepared

    What his programmes doPeople practise on their own tasks, in Arabic or English, and the team’s own trainers are prepared to carry it on after he leaves.

  3. 3

    Nobody decided who checks what comes back

    What his programmes doBefore a programme ends, the team agrees where AI is not used, what must be checked, and who checks it.

How he is usually brought in

  • Organisations ready to adopt

    The Anchor Sprint

    A 30-day whole-organisation programme: mapping how the team's work actually flows, two days of applied training, two to four quick wins delivered inside the sprint, and a roadmap for what comes after.

  • Companies, foundations, public bodies

    Training a team

    A programme built around the work your team already does, so what people practise on is their own. Anything from a single day to a cohort running over several weeks. In Arabic or English.

How it starts

Nothing is agreed until you have an outline you can take to a budget holder.

  1. 01

    A conversation

    Twenty minutes on who the group is and what is actually slowing them down. No preparation needed on your side.

  2. 02

    A look at the real work

    He looks at what your team does day to day, so the exercises use your own work rather than invented ones.

  3. 03

    An outline you can circulate

    What the sessions cover, what people will be able to do at the end, and how long it takes. Something you can put in front of a budget holder.

  4. 04

    Dates

    Usually a few weeks out for in-person work in the Gulf, sooner for online.

Selected programmes

Work is contracted through Mohandes AI, or with him directly as a consultant.

  • Training session, Hassan Allam Properties
    Cairo · via Meska AI

    Hassan Allam Properties

    A day with the IT department on putting AI to work safely. Which of their own tasks it should touch and which it should not, and what can and cannot go into a tool that sits outside the company. Then prompt injection: how hidden instructions in a document or a web page can steer a model into doing something it was never asked to do, and what a team has to check because of it.

  • Training session, Impact U, by stc
    Riyadh · via Ashoka Arab World

    Impact U, by stc

    Theory of change and impact measurement in the age of AI, for impact-driven founders and programme leads — the difference between delivering a solution and creating a change. Two days, in person.

  • Training session, Wadi Group
    Cairo · via Meska AI

    Wadi Group

    One day of a longer programme, on applied AI for commercial and operations teams across an agribusiness group working in food, poultry and packaging.

  • Training session, Halwani Brothers
    Jeddah · via Mohandes AI

    Halwani Brothers

    Generative AI for supply chain, operations and engineering teams at one of the region’s largest food manufacturers.

  • Training session, Dar Saleh
    Jeddah · via Tick & Talk

    Dar Saleh

    Applied AI literacy across eight functions of a philanthropic group and its affiliated charities: grants, endowments, health services, business development, finance, HR, projects and software.

  • Training session, Misr El Kheir Foundation
    Egypt · Direct

    Misr El Kheir Foundation

    AI fundamentals for programme and field teams at one of Egypt’s largest development foundations.

All engagements

Every engagement (15)Hassan Allam Properties · Gen-AI for Professionals · Ecosystem Day, water bootcamp · AI for Development working session …
  • Hassan Allam PropertiesCairo · via Meska AI · 2026
  • Gen-AI for ProfessionalsOnline · via Mohandes AI · Through 2026

    A recurring cohort programme for working professionals, taught with two colleagues.

  • Ecosystem Day, water bootcampCairo · via IWTE Innovation Lab · 2026

    A session for founders and engineers entering the water sector, on how Life From Water chooses between household connections, network extensions, treatment stations, wells, riverbank filtration and solar, and why the local constraint decides it rather than the technology.

  • AI for Development working sessionCairo · via J-PAL MENA · September 2026

    Co-organised by Life From Water with J-PAL MENA at the American University in Cairo, for development organisations in Egypt already using AI or piloting a use case. Built around what is actually working and what is not, rather than a survey of tools. It included a presentation by Prof. Adam Osman, Scientific Director of J-PAL MENA and Associate Professor of Economics at the University of Illinois Urbana-Champaign.

  • Impact U, by stcRiyadh · via Ashoka Arab World · June 2026
  • Innovation FactorySaudi cohort · via Ashoka Arab World · November – December 2025

    Two sessions for a cohort of Saudi startup founders. The first covered the social business model canvas: stakeholder and power mapping, revenue without mission drift, and theory of change. The second covered team and culture, from co-founder governance to turning a vision into execution.

  • Strategic planning for water organisationsSix African NGOs · via EcoCiv · October – December 2024

    A capacity-building programme for six water and sanitation organisations in Ghana and Uganda, funded by the Conrad N. Hilton Foundation. Two group sessions, then one-to-one strategy work with each organisation and written feedback on every plan.

  • Pitching to fundersSix African NGOs · via EcoCiv · April – May 2025

    The follow-on programme for the same six organisations. Two sessions on pitching, written feedback on each submission, a demo day, and a live pitch to the funder.

  • North South Consultants ExchangeCairo · via Taalam AI · August 2026

    He led the company-wide AI transformation programme for their multinational team — eight sessions, from the foundations through to how to keep using it well once the training stops, what standards a team should agree together, and a plan for everyone's next thirty days.

  • BasharSoft, which runs the WUZZUF job platformCairo · via Taalam AI · September 2026

    A BasharSoft Academy session for the engineering and product team: the foundations of AI agents and where they genuinely fit into everyday work — not where they demonstrate well — and getting past the chat box into clearer instructions and something people can click through instead of another wall of text.

  • Wadi GroupCairo · via Meska AI · 2026
  • Halwani BrothersJeddah · via Mohandes AI · 2026
  • Dar SalehJeddah · via Tick & Talk · June 2026
  • Misr El Kheir FoundationEgypt · Direct
  • AI for PalestineOnline · Direct

    He co-developed the programme and led the teaching. Eighteen live sessions, a hundred participants, fifteen graduation projects.

What learners said

  • Simple, direct content — no exaggeration. It respects the psychological fears around AI, helps you contain that anxiety, and changes how you think about AI tools entirely. Mohannad's style is unique: simplicity, clarity, and warmth throughout.
    Yara5/5Course review
  • I thought I knew how to use AI — until I finished this course and discovered I actually knew very little, and the journey is only just beginning.
    Ahmed Said5/5Course review
  • What I loved is that it's neither shallow nor complicated — simple, direct, built on step-by-step practice. It made me feel like I was keeping up with AI, instead of just watching from the sidelines.
    Mohamed ElBalahyEnvironmental & Water Engineer · USAID ScholarCourse review
  • If you feel lost and behind on AI, this course cuts through everything. It helped me stop feeling guilty about falling behind, and start using AI practically in real work and daily life.
    Sohayb BasetBusiness Development Leader · MBA, Strategic ManagementCourse review
  • I strongly recommend this for any founder. Simple and clear — it covers all the basics and more. AI will make a real difference for your project and your team.
    Amira YousryEntrepreneurship · Incubators · InnovationCourse review
  • It explains AI through diagrams, images, and step-by-step videos — helping you solve daily problems and keep up with developments without any overwhelm.
    Mohammad AlQara'wiFacilities Management ProfessionalCourse review

The method he teaches from

The Anchor Method, published in full by Impact Anchor. Four stages, with six workshop steps whose initials spell ANCHOR.

  1. Surface

    The noise: a new tool every week, scattered experiments, and pressure to keep up.

    • AAssess the landscapeThere is more AI news in a week than anyone can act on, so the first skill is triage. What to go deep on, what to note and move past, what to ignore, and what to hand to someone else. Most overwhelm is a filtering problem rather than a capability one.
  2. Descend

    Steady before motion. Adoption is treated first as a question of confidence and judgment, then of craft, and only then of tools.

    • CConfidence and capacity firstWhether people have the confidence and the spare attention to try something new at all.
  3. Anchor

    One test a team puts to everything: will this increase the impact we are here for?

    • NNarrow to one use caseOne recurring task that genuinely costs the team time or grief. Starting where the impact is, rather than where the technology is most interesting, is what separates a programme that sticks from a pilot that quietly stops.
  4. Rise

    Come back up and work anchored: the right depth for each use case, limits named up front, and a rhythm the team can keep.

    • HHuman judgment and limitsName the places AI does not go before anyone asks. Decide what must be verified and by whom. Trust the tool, check the output, and keep a person accountable for everything it touches, because someone will eventually have to answer for it.
    • OOperationaliseMove deliberately from occasional use, to reliable use, to built-in. Different modes suit different work.
    • RRoadmap, resilience and spreadGrow the people who will carry it after you leave. Move from one person coping, to a team that works this way, to an organisation that would survive losing any one of them.

Send an enquiry

Choose a subject and the email opens with a few questions that help him reply usefully. Formal proposals and concept notes are welcome as attachments. He usually replies within two or three days.

To mohannad@lifefromwater.orgSubject Training enquiry
Organisation: 

Who would take part, and roughly how many:

What they do day to day:

Preferred timing, and location or online:

Language: Arabic, English, or both:
Open in email