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
Technology Managers
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, grab a coffee and meet fellow attendees ahead of the opening session.
What’s changed, what leadership/boards now expect, and what “evidence-ready” means for AI decisions.
Dive into how AI agents are shaking up data work and making everything smarter and faster right now!
AI Adoption workshop led by Amit Tiwary, Author and Thought leader in AI in Australia
How risk, legal, data, security, and product/engineering align on “go/no-go” for agentic AI.
Governance structures, monitoring, escalation paths, and audit/assurance practices for enterprise adoption.
Cloud AI services, vendor accountability, and Vendor-neutral standards.
A practical walkthrough of building production-grade AI pipelines, covering data engineering foundations, feature pipelines, LLM integration, and deploying reliable autonomous agents.
The 90-day agenda for leaders who must keep Australians safe while scaling AI responsibly.
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
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.
Minh T Phan
AI Engineer
Minh T Phan is a Certified Databricks Data Engineer specializing in Spark, Azure, and scalable data systems. He builds high-performance ETL and streaming pipelines, optimizes large-scale SQL workloads, and develops AI-powered solutions across multi-cloud environments. Minh is passionate about transforming complex data into impactful, real-time insights.
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.
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.