Why You Should Let AI Agents Run Your Business Whilst You Sleep
When implemented well, AI agents support and streamline processes to deliver efficiencies rather than replace people. Stop talking to AI and start utilising it to increase capacity, scale quicker and do the heavy lifting for you.
What you'll learn
Clear outcomes, practical examples, and a workshop structure designed to help teams understand how the system actually works.
Learn why experienced and emerging leaders are shifting from manual prompt-and-reply workflows to autonomous AI agents that execute operational work in the background.
See how well-implemented AI agents support your people across lead research, email triage, and core operations—freeing your team to focus on high-value decisions.
Discover practical frameworks to let AI agents handle the heavy lifting 24/7 so your business can scale revenue without adding administrative headcount.
Why this topic matters
Why this workshop matters in the real world, and what operational problem it helps teams solve.
When implemented well, AI agents support and streamline processes to deliver efficiencies rather than replace people. This Builder Track session at Google Developer Group (GDG) DevFest Brisbane 2026 is for experienced and emerging leaders and business owners who want to stop talking to AI and start utilising it to increase capacity, scale quicker and do the heavy lifting for you.
Event details
Everything you need to know before registering, laid out clearly so the listing is easy to scan.
Speaker
Learn from an operator who builds AI systems inside real businesses, not just slide decks.
Jason Tan
Chief AI Officer at Ascendnce | Speaker
I am the Chief AI Officer at Ascendnce. We build AI agents that scale revenue without adding headcount, automating real operations like lead research and email triage.
Previously, I bootstrapped Engage AI to 100,000 users and built pricing systems for major insurers. After 20 years in data science, I prefer execution over theory. I map business workflows to prove financial cases and build actual technology.
In this course, I teach engineers and corporate employees this approach. You will learn to identify expensive bottlenecks, work backwards, and rapidly prototype a functional AI product. You leave with the frameworks and a working AI prototype to become an internal product leader.
Subscribe for practical frameworks on building AI products.
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