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Rita
Arrigo

Digital Strategist

Profile

Rita Arrigo is a renowned digital strategist with a reputation for her ability lead digital transformation projects in the public and private sector. As well as her deep technical skills, her digital insights and communication skills have made her a sought after digital speaker, commentator, broadcaster and mentor across the IT sector and into the broader leadership community. She is able to communicate complex technical ideas across the “IT divide” to non-geek stakeholders.

Expertise
Talking Points

Finding what matters in the Age of AI

Rita Arrigo is a pioneering digital strategist who has shaped Australia’s tech landscape for three decades. She co-founded the country’s first internet café, served as Chief Digital Advisor at Microsoft & has led strategic engagement at the National AI Centre. Here, she founded the Responsible AI Network and brought practical insight on generative AI, AI for safety, and AI for climate tech. In this talk “What matters in the Age of AI” Rita shows how AI is having an impact on industry across health, climate, agriculture and can regenerate ecosystems, reconnect communities, and build smarter, stronger, more sustainable futures. This talk includes and Agentic AI Voice Demo.

Key Takeaway:
- A clear framework for distinguishing valuable AI - Responsible AI
- Executive-level questions boards and leaders should ask before scaling AI
- Practical guidance on embedding trust and human oversight into AI systems
Ideas for using AI for Good

Responsible AI Opportunities and Challenges

Responsible AI is often framed as a constraint—yet organisations that get it right scale faster, not slower. This session cuts through the ethics dilemma to examine how responsibility, governance, and risk management can become enablers of innovation and growth. Using examples from highly regulated sectors, it shows how organisations move from policy statements to operational trust. Attendees gain a pragmatic understanding of what responsible AI looks like in practice.

Key Takeaways:
- A practical definition of responsible AI beyond principles and policies
- Insight into common failure points when governance is bolted on too late
- How to design AI systems that satisfy regulators, boards, and customers simultaneously
- Reduced risk of stalled pilots, reputational harm, and compliance rework

AI for Growth

AI has moved beyond experimentation—but many organisations still struggle to translate capability into growth. This session explores how AI drives revenue, productivity, and competitive advantage when embedded into real workflows and operating models. Rather than focusing on tools, it focuses on decision velocity, execution confidence, and scalable value creation. Leaders will see how AI becomes a growth engine, not a cost centre.

Key Takeaways:
- How to confirm where AI will actually move the growth needle
- A roadmap for progressing from pilots to enterprise-scale value
- Understanding the operating model shifts required to monetise AI
- Clear signals for prioritising AI investments with measurable commercial impact

Leading Industries in the Age of AI

This is customised for specific industries: Associations, Construction, Finance, HR, Climate, Utilities, Government,

Different industries face different AI pressures—but the leadership challenges are strikingly similar. This session examines how leading organisations across sectors are adopting AI while managing risk, regulation, and workforce impact. Through industry-specific examples, it highlights the patterns that separate leaders from laggards. The focus is on what executives must do differently to lead confidently in an AI-shaped economy.

Key Takeaways / ROI
- Industry-relevant use cases grounded in real operating conditions
- Common leadership mistakes that stall AI adoption across sectors
- How trust, governance, and capability shape industry advantage
- Actionable steps leaders can take immediately within their sector context

Agentic and Generative AI: From Assistance to Action

AI is rapidly shifting from systems that assist humans to systems that plan, coordinate, and act. This session demystifies agentic and generative AI, explaining what changes when AI begins executing tasks inside workflows. It explores the new trust, governance, and operating model requirements that emerge as autonomy increases. Leaders will leave with a clear mental model for deploying agentic AI safely and at scale.

Key Takeaways:
- A plain-English understanding of agentic vs generative AI
- What changes when AI moves from “recommend” to “execute”
- How to design human-in-the-loop oversight for agentic systems
- Reduced risk when adopting next-generation AI platforms and agents
Media
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