Agentic AI & Responsible AI Summit 2026
Agentic AI is quickly moving from “interesting demos” to real enterprise workflows, which means accoun...
A$39
Level 1, 2, and 3, 315 Brunswick Street, Fortitude Valley, QLD 4006 Australia
Friday, March 13, 2026
9:00 AM AEST
Our Sponsors
Falaina Cloud is a cybersecurity technology company that provides modern Identity and Access Management (IAM) and data security solutions to help organisations protect digital identities, automate compliance, and secure access across users, applications, and cloud environments.
Platinum Sponsor
Okta secures AI. Okta is The World’s Identity Company. Freeing everyone to safely use any technology—anywhere, on any device or app.
Gold Sponsor
Bhalekar.ai is an AI and data engineering company focused on helping organizations build, deploy, and scale intelligent solutions through AI, machine learning, analytics, and automation. The company enables enterprises to drive innovation and responsible AI adoption through strong data foundations and practical AI implementation.
Silver Sponsor
GlobalInfi is a global technology consulting and advisory firm that helps organisations transform and scale through strategy-led tech solutions in areas like AI, cybersecurity, and digital transformation, empowering clients to solve complex business challenges.
Community Partner
Who this is for
Privacy Leaders
Compliance Leaders
Risk Leaders
AI and Data Leaders
Engineering Leaders
Data & AI Architects
Why This Summit Now
At the same time, boards and executives are asking for evidence—not optimism—that AI is safe, controlled, and aligned to business outcomes, which is why “evidence-ready” practices are becoming the new baseline for enterprise adoption. This summit is built to align leadership, risk, and technology on the practical decisions that shape enterprise AI in 2026, with responsible AI as the operating standard and agentic AI as the emerging capability that needs the strongest clarity and controls.
You’ll leave with a clearer view of what “good” looks like for agentic AI governance in real organisations—covering decision rights, oversight models, guardrails for high-impact workflows, and the operating mechanisms needed to scale responsibly.
Agenda
Check in, collect your summit materials, and connect with fellow attendees over coffee before the program begins.
A relaxed opportunity to start conversations with AI leaders and practitioners.
This session examines how generative AI and agentic systems are reshaping how organisations collect, structure, interpret, and act on data. Learn how AI is transforming data from static assets into dynamic, decision-driving intelligence.
A candid leadership discussion on how responsibility for AI must extend beyond the technology team. The speakers will explore how governance, risk, legal, and business functions must collaborate to ensure accountable AI deployment.
Gain a practical understanding of the end-to-end AI pipeline—from extracting usable insights from raw data to deploying reliable AI systems in production environments. The session highlights operational challenges and best practices for scaling AI solutions.
Enjoy lunch while continuing conversations with speakers, partners, and fellow participants. A chance to exchange ideas and build new professional connections.
A practical workshop focused on frameworks and strategies organisations can use to adopt AI effectively. Participants will explore real-world approaches to integrating AI into business processes while managing risk and change.
Discover how the Openclaw platform enables enterprises to build and manage advanced AI capabilities. The session will highlight how organisations can leverage Openclaw to create scalable, secure, and adaptable AI solutions.
Learn how organisations can design operating models, governance frameworks, and control mechanisms to ensure responsible AI deployment. The session focuses on balancing innovation with compliance, risk management, and oversight.
The closing keynote reflects on the major themes of the summit and outlines what lies ahead for agentic and responsible AI. Key insights will help organisations prepare for the next wave of AI transformation.
Conclude the summit by connecting with fellow leaders, speakers, and practitioners. An opportunity to deepen discussions, exchange perspectives, and explore potential collaborations.
Submit Your Inquiry
Know more about this conference
Learning Outcomes
Deliverables
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Agentic AI governance blueprint: Decision rights, accountability (RACI), autonomy levels, and human-in-the-loop / escalation design to deploy agentic ai safely in enterprise workflows.
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Evidence-ready pack outline for leadership/boards: What to document (controls, monitoring, incidents, approvals, outcomes) so agentic ai initiatives are defensible and reviewable—supporting responsible ai expectations.
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Responsible AI controls checklist for core workflows: Minimum guardrails for GenAI/agentic ai in production—risk triggers, monitoring signals, and “go/no-go” criteria for high-impact use cases.
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90-day implementation plan template: A practical plan to move from summit insights to execution—owners, milestones, governance cadence, and rollout phases for responsible ai at scale.
Speakers
Chris Hayward
Founder, Thepromptlab.ai
Chris Hayward is an AI transformation leader and founder of ThePromptLab.ai. With over 20 years of experience across government, healthcare, and enterprise technology, he helps organizations design and implement human-centred AI systems that deliver real operational value.
Stephen Dhawale
Data & AI Expert
Stephen Dhawale is a Data & AI expert specializing in scalable data engineering, AI-ready architectures, and responsible AI implementation. He helps organizations transform complex data into strategic insights through modern cloud, analytics, and machine learning solutions.
Mark Sydney
Digital Transformation & Technology Leadership Executive
Mark Sydney is a technology executive specializing in digital transformation, enterprise architecture, and technology strategy. He helps organizations align business goals with modern technology capabilities, improving governance, operational maturity, and cybersecurity while enabling long-term innovation and sustainable digital growth.
Bhavisha Sharma
AI, Data & Technology Strategy Leader
Bhavisha Sharma is a Strategy, Data, and AI leader specializing in data transformation, cloud platforms, and analytics-driven decision making. She helps organizations design and implement modern data strategies that improve operational efficiency, enable better insights, and unlock business value through scalable technology solutions.
Finn Dollimore
Webflow Developer, Designer & AI Product Builder
Finn Dollimore is a Webflow developer and product designer specializing in modern website design, scalable CMS systems, and digital product development. He helps organizations build high-performing websites that improve user experience, engagement, and lead generation through design-driven and scalable web solutions.
Voice of Agentic AI & Responsible AI Summit 2026
"Strong executive framing. The Vendor-neutral standards. angle made it easier to align stakeholders across risk and engineering. "
"Credible, practical, and board-aware—without turning into a vendor pitch. "
"The agenda hits what leaders are being asked about right now: GenAI, third-party exposure, and incident readiness. "
FAQs
The summit is produced by the Global Institute of Artificial Intelligence (GIofAI), which specialises in AI governance, enterprise risk and standards such as ISO 42001. GIofAI works with cross-functional leaders to help organisations move from AI intent to AI proof.
Yes—content is designed to be accessible for non-technical leaders while still being useful for practitioners; we focus on practical governance and adoption, not deep coding.
No—key concepts and real enterprise patterns will be explained, then applied to governance and responsible deployment decisions.
Yes—sessions include actionable frameworks (e.g., readiness and governance checklists) you can adapt to your organisation.
The focus is on AI used in workflows that can plan/act with varying autonomy, and what changes in governance, oversight, and accountability when systems become more agentic.
No. The summit is designed as a leadership and governance forum rather than a technical developer conference. While AI, data and security leaders attend, the focus is on decisions, controls and operating models, not on coding, architectures or tool training.
Attendees will leave with clearer frameworks for governing AI responsibly across the enterprise, aligning stakeholders and embedding AI into core workflows without losing control of risk. You can expect actionable models, language and patterns you can re-use with your own executive team and board.
Yes—the positioning is enterprise-oriented and aligned to local context and expectations reflected in the event’s governance/adoption focus.
Absolutely—this is intended to be cross-functional, and outcomes improve when AI, risk, legal, data, and security stakeholders attend together.
Yes—there is specific emphasis on moving from experimentation to scalable, accountable execution.
Yes—governance, monitoring, accountability, and operating model maturity become more important once AI is scaled.
Yes—governance and oversight for more autonomous workflows is a core theme.
Yes—registration, breaks, and lunch are built in for networking.
Sponsor Opportunity
Put your brand alongside the ISO of AI and a senior audience shaping enterprise AI decisions in 2026.
Support Vendor-neutral standards. and the mission to keep Australians safe—where responsible AI meets operational execution.