This series is designed to help teams move beyond AI experimentation and into practical, scalable adoption—turning isolated wins into repeatable ways of working that deliver real business value.
The first two sessions of the series laid the foundation for helping organizations to:
embed AI into real workflows
drive adoption across teams, and
build the practices needed to scale responsibly.
If you’re a leader, admin, or practitioner responsible for scaling AI safely and consistently across your organization, you’ll find value from this series.
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Need a refresher? Check out recordings for the first two sessions 📹 |
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Now, we’re excited to keep the momentum going with our next live session—and give you a preview of what’s coming after that.
In this free 60-minute live session, you’ll learn how to turn scattered AI experiments into durable patterns that work across teams, tools, and surfaces. Instead of chasing “the perfect agent,” we’ll focus on designing AI as decision support inside your existing processes, with clear guardrails and accountability so it can operate reliably at scale.
After this session, you’ll be able to:
Spot brittle, one-off AI workflows and reshape them into repeatable patterns
Anchor your AI designs around decision support, guardrails, and accountability
Integrate AI into existing processes so it augments—not replaces—how work gets done
Create opinionated, reusable designs that can evolve as your organization’s AI maturity grows
Register here ⤵️
Tuesday, May 19th, 3:30pm AEST 👉 Register
Tuesday, May 19th, 2:00pm CEST 👉 Register
Tuesday, May 19th, 11:00am PST 👉 Register
In this free 60-minute live session, you’ll learn how to make AI performance visible, measurable, and believable to stakeholders across product, operations, and leadership. Instead of vague “AI uplift” claims, we’ll focus on tying AI behavior directly to the outcomes your teams already care about—like flow efficiency, decision quality, and customer experience.
After this session, you’ll be able to:
Define clear metrics and feedback loops that connect AI behavior to real business KPIs
Make AI performance observable and legible to product, operations, and executive stakeholders
Use data to decide where to scale, refine, or retire AI-powered workflows
Align AI initiatives to customer-focused KRs so you can prove value and tune performance over time
Registration opening soon ⤵️
Tuesday, June 23rd, 3:30pm AEST
Tuesday, June 23rd, 2:00pm CEST
Tuesday, June 23rd, 11:00am PST
Kim Mooney
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