Lunch and Learn - Session 16: Use real-time AI feedback for application submissions
Discover how IP Australia is using AI to provide real-time feedback during trademark application submissions. This session will demonstrate how AI can help applicants avoid common errors, improve submission quality, and reduce processing delays. It’s a practical case of AI improving service delivery and user experience in a regulatory setting.
Presenter
Scott Mullholland
Facilitator
Daniel Parris
Daniel Parris is an Engagement Manager with GovAI, a whole-of-government program in the Department of Finance working to enable responsible and effective AI adoption across the Australian Public Service (APS). In his role, Daniel works with agencies to accelerate AI adoption through information sharing, capability building, and supporting cross-agency connections. He also oversees the APS AI Use Case Library, which is a central GovAI resource showcasing real-world AI applications in Government, promoting reuse, and fostering innovation across the public sector.
Before joining GovAI, Daniel worked across governance, sustainability, and policy settings. This included work on APS climate reporting, ESG research and methodology design for global investors, and academic research on sustainable finance and climate risk. Daniel has also facilitated group programs in diverse settings, from interactive public service workshops to immersive cultural experiences in remote Indigenous communities.
Participant benefits
See how AI can help guide users through complex application processes.
Learn how real-time feedback improves accuracy and reduces rework.
Understand how AI can enhance public-facing services in government.
Suitable for
All Staff
Category and User level
This learning experience aligns with the Digital Profession at the Foundation level.
Price
Free of charge.