Lead the AI Future—Before It Leads You.

Chief AI Officer Executive Leadership Programme

  • December 7 – 11, 2026
  • The Mount Meru Hotel, Arusha Tanzania
  • USD 1,500 / Participant
ABOUT THE PROGRAM.

Program Overview

An advanced executive programme for leaders entrusted with defining their institution’s AI direction. The advantage will not lie in acquiring more tools, but in exercising the judgement to translate AI into enduring institutional value—responsibly, securely and at scale.

AI is already entering your organization through employee tools, vendor platforms and everyday workflows. Every unchecked adoption decision can affect performance, information security, workforce capability, public trust and executive accountability.

Who is setting the direction? Who is governing the risks? Who is accountable for turning investment into results?

Conceived for senior decisionmakers, the programme combines strategic inquiry, institutional perspective and applied roadmap development. It enables leadership teams and AI Implementation Committees to address these questions with authority—and to leave with a course of action grounded in their organization’s priorities.

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Building the AI-Ready Organization

Make better decisions before committing resources—and build the leadership discipline to convert strategy into measurable results.

Building the AI-Ready Organization

Turn AI Ambition into Decisions, Discipline and Results

Your organization may already have an AI committee, a digital transformation strategy or several pilot projects.

This programme equips participants to:

  • Choose the right opportunities: Prioritize use cases that address real institutional needs and justify investment.
  • Establish accountable leadership: Clarify who sponsors, approves, implements and oversees AI adoption.
  • Protect institutional value: Strengthen safeguards for data, security, ethics and human oversight.
  • Prepare the workforce: Connect AI adoption with literacy, job redesign, upskilling and reskilling.
  • Move beyond pilots: Plan implementation, manage dependencies and establish criteria for scaling.
  • Measure what matters: Track productivity, service quality, adoption, return on investment and institutional impact.

Building the AI-Ready Organization

Make better decisions before committing resources—and build the leadership discipline to convert strategy into measurable results.

Target Participants

This programme is designed for leaders who influence AI direction, investment, implementation or oversight:
  • CEOs, Directors General, executive directors and senior management.
  • Chief AI Officers, CIOs, CTOs and Chief Data Officers.
  • AI implementation, steering and governance committee chairs, secretaries and members.
  • Strategy, innovation and digital transformation leaders.
  • ICT, data, analytics and cybersecurity professionals.
  • HR, organizational development and learning leaders.
  • Risk, legal, compliance and internal audit leaders.
  • Finance, procurement, operations and service delivery leaders.
  • Communications, research, policy, monitoring and evaluation professionals.

Target Sectors

It is relevant to government institutions, state corporations, regulators, banks, SACCOs, universities, healthcare and research institutions, telecommunications companies, utilities, manufacturers, development institutions, NGOs and private enterprises.

Turn AI Ambition Into Institutional Action

Move beyond experimentation and equip your leadership team with the clarity, governance and roadmap needed to make AI a strategic advantage.
PROGRAM STRUCTURE

What Participants Will Learn to Lead

Understand where your institution stands, where AI can contribute and what must be strengthened before adoption expands.

Participants will assess readiness, identify capability gaps and connect AI priorities to organizational strategy.

The leadership question: Where should we focus—and why?

Define the responsibilities of the Chief AI Officer, executive sponsors and AI steering or implementation committees.

Explore decision rights, approval arrangements, escalation procedures and human oversight.

The leadership question: Who owns the decisions, the risks and the results?

Evaluate opportunities across business functions. Assess their value, feasibility, data requirements and risks, then plan a disciplined progression from pilot to wider adoption.

The leadership question: Which opportunities deserve investment, and what evidence will justify scaling?

Address confidentiality, privacy, cybersecurity, information integrity, ethics and unreliable outputs.

Identify safeguards that help employees use AI responsibly while retaining appropriate human judgment.

The leadership question: How do we pursue value while protecting trust?

Strengthen the evaluation of vendors, tools and implementation proposals. Examine dependencies, delivery expectations, ongoing costs and performance oversight.

The leadership question: Are we buying a credible solution to a defined institutional need?

Identify how AI may change tasks, roles and capability requirements. Plan targeted learning, job redesign and working arrangements that combine employee expertise with AI support.

The leadership question: Are our people prepared to deliver the transformation?

Develop practical measures for adoption, efficiency, service quality and value. Establish a basis for reviewing progress and adjusting investment decisions.

The leadership question: How will we know that AI is making a meaningful difference?

Investment( USD 1,500 )

An Executive Investment in Institutional Readiness

The participation fee encompasses a carefully designed executive learning experience, including:

  • Five days of immersive, executive-level learning.
  • Curated programme materials and executive resources.
  • Practical strategy and governance exercises.
  • Institutional roadmap development sessions.
  • Lunches and refreshments.
  • A certificate of participation.

Turn AI Ambition Into Institutional Action

Move beyond experimentation and equip your leadership team with the clarity, governance and roadmap needed to make AI a strategic advantage.

HAM International

GET IN TOUCH TODAY!

If you have any questions, queries, or concerns, please don’t hesitate to reach out and we will get back to you as soon as we can.

  • Head office

    Luther Plaza, University Way Nairobi, Kenya.

  • Phone No.

    +254 (0)733 613 504 / +254 (0)720 613 502