AI for Good Leadership Executive Workshop

Is Your AI Strategy Delivering Enterprise-Wide ROI?

According to the latest 2025 data from the Tech Council of Australia, nearly four out of five Australian companies using AI are stuck in "pilot purgatory", unable to scale their initiatives for significant financial return.

Recent WA Government analysis forecasts AI-driven productivity gains of up to 2.5% of GSP by 2030, equivalent to $1.2 billion annually, yet only 22% of Australian companies are successfully scaling AI for enterprise-wide returns.

Here in WA, the challenge is even more acute. The Chamber of Commerce and Industry WA's (CCIWA) H1 2025 Business Outlook pinpoints the state's critical skills shortage as the number one barrier preventing local companies from closing that gap, especially outside the Tier-1 resources sector. In addition, the gap between a successful pilot and a scaled solution represents other billions in potential value. For our core industries, these execution gaps mean leaving billions in potential value on the table in asset productivity, ESG report automation, and supply chain resilience.

This exclusive 6-hour workshop is for the C-suite team tasked with bridging these gaps. You will apply a practical, de-risked roadmap to build an executable strategy that drives measurable, bottom-line impact and achieves enterprise-wide AI integration.

What You Will Achieve

By the end of this 6-hour, C-suite-focused workshop, you will leave with a de-risked, enterprise-wide AI adoption roadmap, complete with governance, human-centric strategies, and a 90-day plan to deliver measurable ROI that includes the application of:

1. Rapidly assessing your organisation.

2. Mapping current AI pilots and initiatives.

3. Articulating the core human capabilities.

4. Integrating sustainability and future-generation accountability into your AI vision.

5. Applying structured, inclusive decision-making techniques to engage diverse stakeholders.

6. Using a guided reflection framework on a live strategic decision.

7. Co-designing a fast-cycle proof-of-value plan.

8. Developing your AI blueprint.

9. Drafting your workshop-ready self-assessment against the 2025 WA Artificial Intelligence Policy and Assurance Framework.

10. Drafting your high-level governance structure for ethical data use and AI oversight.

11. Drafting your stakeholder engagement strategy.

Who Should Attend

Ideal for C-Suite leaders, Board Directors, and Senior Executives who:

• Oversee AI strategy, digital transformation, or innovation portfolios;

• Control or manage the AI, IT, Innovation or technology budget of more than $50K;

• Seek strategic AI frameworks beyond traditional business metrics.

Industries

Mining & Resources, Energy & Utilities, Financial Services, Healthcare, Infrastructure, Education, Government, Public Sector, Technology, Professional Services, Manufacturing, Agriculture.

Facilitators & Credentials

Dr. Eunice Sari & Josh (Adi) Tedjasaputra

• Google’s AI-First Mentors: Official Google recognition for AI integration expertise.

• Google Certified Design Sprint Masters: Validated mastery of Google’s Design Sprint methodology.

• 10 years of peer-reviewed research (2015–2025) in Humanity-centric AI integration.

• Worldwide contextual expertise and regional capacity-building experience

Investment

• Executive Pass: $960 Early Bird / $1,200 Standard (1% - 1.2% of a $100K budget)

• Executive Plus Pass: $1,200 Early Bird / $1,500 Standard (1.2% - 1.5% of a $100K budget)

• Team Discounts: For registration, please contact eunice@cxinsight.com.au. Group ticketing is handled outside Humanitix

  • 2 - 3 team of participants from the same organisation  = 5%

  • 4 - 5 team of participants from the same organisation  = 10%

  • 6 - 10 team of participants from the same organisation = 15%

• Community Scholarship: $600 for NFPs, Indigenous-led, public sector agencies

What Makes The Workshop Unique

• Systems Thinking Over Individual Optimisation
  Move beyond personal productivity gains to understand AI's interconnected impacts on communities, cultures, and future generations.

• Participatory Governance Over Expert-Driven Solutions
  Learn to embed community voices and stakeholder participation into AI decision-making processes.

• Intergenerational Responsibility Over Short-Term ROI
  Develop seven-generation thinking frameworks that honour long-term collective welfare.

• Collective Action Over Individual Development
  Leave with a peer accountability network and shared commitment to systemic change.