AI is no longer confined to pilots and experiments — it’s becoming central to how enterprises design, build, and maintain software at scale. But beyond the hype, how do we actually measure its value?
In this episode, Andy Canning, CTO of Equal Experts, shares how consulting teams are embedding AI mid-stream in delivery to unlock outcomes that would have been impossible with traditional methods. From the public sector, Andrew Spiegelman, Head of Data & Analytics at Service NSW, brings the government lens — showing how AI can deliver customer value while navigating regulation and public trust. Kristopher Lopez, Head of Data & Analytics at PetSure, offers real-world examples from financial services on how AI copilots and automation tools are reshaping developer productivity and customer experience. Aman Dayal, GM of Data & AI at Coates, dives into what it takes to scale AI initiatives from first-order automation gains to enterprise-wide transformation across people, process, technology, and data.
Guided by Madeleine Palmer, Head of Content, Editorial & Research, the discussion unpacks not only what’s working and what’s next, but also the risks, cultural shifts, and success metrics leaders must grapple with as AI accelerates across the Software Development Life Cycle (SDLC). Expect candid insights, hard truths, and practical advice from leaders on the frontlines of enterprise AI adoption.
- Scaling from Pilots to Platforms: How organisations like Coates and Service NSW are embedding AI into core SDLC processes.
- Developer + Machine Collaboration: Real-world experiences from Petsure and Equal Experts on how AI copilots are transforming team roles and workflows.
- Measuring ROI in AI Delivery: How leaders across industries identify the metrics that truly capture AI’s impact on speed, quality, and customer value.
- Balancing Risk, Ethics & Governance: Practical strategies for handling technical debt, compliance, and cultural resistance while adopting AI responsibly.
- Future of AI in Software Development: Predictions from our panel on what AI will mean for government, enterprise, and software teams in the next 12–18 months.