Unlocking the potential of AI

Join us for this exclusive, dynamic event. With our practical AI Discovery workshop at its core, it is designed for leaders keen to delve deeply into how modern technologies can address genuine business challenges. It is also reserved for a select group of guests, creating a high-value thought exchange environment.

Date and time

15 April, 2026
12:00 - 16:00, KSA time

Format

Online workshop
Link sent via email after the registraton 

 

Attendance

By invitation and registration only
The number of places is LIMITED

Reserve your spotTo ensure our guests enjoy an exclusive experience delivering valuable insights and networking opportunities, we are limiting the number of places for our AI Discovery workshop. To secure yours, please fill in the registration form below now.
AI Discovery for businessAn immersive session for leaders with the desire to delve deeply into how modern technologies can solve real business challenges. The workshop introduces a structured approach to analysing organisational issues, pinpoints where AI and automation can bring the greatest value and recognises the conditions required for effective implementation.

What do we have lined up?

Practical knowledge

Learn, discover and explore by gaining actionable insights and guidance on how to do AI and automation right from the beginning, with strategy designed to target maximum benefit for your business. 

Speed consulting

We'll be there for you, available in breakout rooms, after the workshop. Ready to consult your ideas or challenges, both business or technology-related. 

Networking

Make valuable connections with experts and peers, benchmark your roadmap and exchange solutions - both during the interactive workshop or in speed consulting breakout rooms. 

What to get prepared for?

Agenda

  1. Welcome & framing
    Introduction to the workshop objectives, scope, ways of working, and expected outcomes, including a short technical setup.
  2. Opportunity mapping
    Identification and prioritization of business challenges where AI and automation can deliver the highest value.
  3. Overview of AI and typical business applications
    A practical overview of AI and automation solution types commonly used in business, illustrating where and how they create real value.
  4. Key implementation highlights
    Discussion of key considerations when moving from idea to implementation, including readiness, data, delivery approach, and change management.
  5. Wrap up
    Summary of key insights and outcomes, along with possible next steps.
  6. Interactive consulting sessions
    Dedicated interactive discussions with our experts to address specific challenges, questions, and next-step scenarios.

What can you take from the event?

A structured discovery process

Ground your AI initiatives in real business needs. How? By starting with a clear method for analysing the organisational challenges you face.

    High-value use cases

    Identify where AI and automation can deliver the biggest impact. Time? Costs? Risk? Customer experience? Focus your efforts there first.

      Strategy balanced with practical execution

      How do leaders move fast from ideas to pilots? By combining a strategic view of what is possible with a profound understanding of the relevant tools.

        Conditions for success

        What does effective AI adoption depend on? Much more than just the technology. It also encompasses readiness factors like data availability and quality, process maturity, governance, and change management.

          AI adoption as a transformation journey

          Treat AI adoption as a staged roadmap, where discovery → prioritisation → implementation, helping teams to make informed, data-driven decisions and to scale what works.

            Meet our experts

            Robert Sendacki

            Co-founder and CEO
            MakoLab Consulting

            Ewa Koprowska

            Project Manager 
            MakoLab Consulting

            Hashim Alfatayerji

            MakoLab Consultant
            KSA

            Samir Nasr

            Business Developer
            MakoLab