Part of the AI Leadership Accelerator

AI conversations are increasingly shaping strategic decisions across every organisation. CIOs and IT leaders need to influence those conversations before priorities, expectations and investments are set by others.

This course provides a practical leadership framework for understanding where AI decisions are being shaped, deciding how IT should contribute, aligning others around a credible position, and turning that position into action.

Built from real AI leadership and strategy engagements – not AI hype.

Need this course for your team?

Run it as an In-house Team Delivery session – private, practical, and delivered in your context.

Ask about In-house Team Delivery

What you’ll learn:

Understand how the timing of IT’s involvement, its contribution and its relationship affect its influence over AI decisions.
Identify where AI decisions are being shaped, where IT needs to engage earlier, and which stakeholders matter most.
Decide deliberately what role IT should play across different parts of an AI decision, rather than defaulting to ownership or governance.
Build a clear, credible leadership narrative that connects business value, direction, evidence, uncertainty and trade-offs.
Adapt that narrative to different AI decisions and stakeholders without losing consistency.
Make AI decisions and choices explicit, explain the reasoning behind them, and help others act.
Turn the approach into a practical 30-day engagement plan for strengthening IT’s influence over AI decisions.

Who it’s for:

CIOs, Heads of IT and IT leadership teams who need to shape the AI agenda rather than respond to decisions made elsewhere.
Digital, data, transformation and innovation leaders involved in shaping AI priorities and decisions.
Enterprise architecture, governance, risk and delivery leaders who need to influence how AI decisions are framed, evaluated and governed.
Senior IT professionals who need to strengthen their influence with business leaders and other stakeholders around AI.

What you will leave with:

An AI Leadership Map identifying where IT needs greater influence, what needs to change, and which stakeholders matter most.
A clear view of the role IT should play across the key components of AI decisions, including where it should own, partner, enable, govern or challenge.
A practical AI leadership narrative for framing value, direction, evidence, uncertainty and trade-offs credibly.
A repeatable approach for communicating AI decisions, making choices explicit and enabling action.
A 30-day engagement plan for strengthening the conversations and relationships that matter most.
A practical leadership approach you can apply to future AI decisions and conversations.

How the course works:

Live, instructor-led and built around realistic CIO and IT leadership challenges. You will work through the four-stage LEAD framework: Learn the Landscape, Establish Direction, Align & Engage, and Drive Action. Through discussion, practical exercises and peer challenge, you will diagnose where IT needs greater influence, decide the role it should play, build a credible leadership position, and turn that position into action.

This is not a technical AI course. You do not need to be an AI expert to lead AI well. The focus is on the leadership skills required to help the organisation make better AI decisions: knowing when to engage, what IT should contribute, who needs to be involved, how to navigate difficult choices, and how to move the conversation forward.

Included:

LEAD framework, practical templates and course tools.
Participant workbook with practical examples and activities.
Course materials and reference guides.
Certificate of completion and LinkedIn badge.

Course details:

Duration: 1 day
Delivery: Live online (instructor-led). In-house delivery available on request.
Format: Interactive, scenario-based, hands-on

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Curriculum

1 Section
0 Lessons
1 Day

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Course Modules:

This course equips IT leaders to strengthen their influence over AI decisions and help their organisations make better AI decisions. You'll work through the four-stage LEAD method to understand where IT needs greater influence, choose how IT should participate, build alignment and turn that alignment into action.

1
LANDSCAPE: Understand where IT's influence needs to change, when it needs to engage, what it can contribute and which stakeholders matter.

2
ENGAGE: Choose deliberately how IT should participate, including where it should own, partner, enable, govern or challenge.

3
ALIGN: Build understanding and support around IT's position through a clear, credible leadership narrative.

4
DELIVER: Turn alignment into decisions, commitments and action, culminating in a practical 30-day AI Conversation Plan.

0

Dr Gerald Khoury

Founder & lead instructor

Gerald is an AI and IT leadership educator and strategist with almost four decades of experience helping organisations navigate technology-driven change. He first began teaching artificial intelligence in 2007 at the University of Technology Sydney and today works with CIOs, IT leaders and leadership teams to navigate AI-driven transformation, make better strategic decisions, and turn those decisions into practical action. Gerald holds a PhD in enterprise architecture and brings together deep expertise in AI leadership, IT strategy, enterprise architecture, governance and organisational change. His training is practical and enterprise-focused, built around real leadership decisions, trade-offs, practical frameworks and reusable tools rather than generic theory. Gerald has held senior leadership and advisory roles with IBM, Gartner and Info-Tech Research Group, and has worked with more than 100 government and corporate organisations across strategy, technology and transformation. Gerald also lectures at Australian tertiary institutions and is a widely published author and speaker on AI, strategy, innovation and leadership. CIO Magazine (latest article): From Strategy to Discontinuity

Is this course live, or self-paced?

Live, instructor-led online (not self-paced) with guided sessions and interactive exercises.

How interactive is the class?

Workshop-style with structured activities, discussion, and hands-on exercises.

How big are the classes?

Classes are intentionally small to maximise interaction, Q&A, and application to your context.

What outcomes should I expect?

Clearer priorities and trade-offs, stronger stakeholder alignment, and practical artefacts you can use immediately.

Will this be tailored to my industry?

Yes - the methods are industry-agnostic by design, and you’ll apply them using examples and scenarios relevant to your organisation.

Can my organisation pay via invoice/PO?

Yes - select a date, then click Request invoice / PO.

Can you run this course in-house for our team?

Yes - click Enquire about in-house delivery.

AI conversations are increasingly shaping strategic decisions across every organisation. CIOs and IT leaders need to influence those conversations before priorities, expectations and investments are set by others.

This course provides a practical leadership framework for understanding where AI decisions are being shaped, deciding how IT should contribute, aligning others around a credible position, and turning that position into action.

Need this course for your team?

What you’ll learn:

Who it’s for:

What you will leave with:

How the course works:

Included:

Course details:

Curriculum

Course Includes:

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Leading the AI Conversation Build trust. Align stakeholders.

AI conversations are increasingly shaping strategic decisions across every organisation. CIOs and IT leaders need to influence those conversations before priorities, expectations and investments are set by others.

This course provides a practical leadership framework for understanding where AI decisions are being shaped, deciding how IT should contribute, aligning others around a credible position, and turning that position into action.

Need this course for your team?

What you’ll learn:

Who it’s for:

What you will leave with:

How the course works:

Included:

Course details:

Curriculum

Course Includes:

Select a date:

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