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HotTopics Studio: Abbey Road Studios
HotTopics Studio: Abbey Road - CMO
Welcome to
Engineering the AI Era
In partnership with
Where engineering leaders deliver real business impact from AI
The community for financial services leaders shaping trust and resilience
Software is now the defining capability of the modern enterprise—but the economics of building it are changing fast. AI-assisted development, platform automation, and new delivery models mean smaller, highly skilled teams can achieve more than ever before, while complexity continues to grow.
Engineering the AI Era explores how leaders can redesign software delivery to meet this moment—modernising legacy platforms, enabling faster and safer change, and ensuring AI drives real, measurable outcomes.
This content hub focuses on a critical HotTopic: how engineering leaders create environments built for continuous adaptation, rapid learning, and sustained impact. Designed for CIOs, CTOs, and senior engineering and data leaders—particularly in financial services—it offers a space to share insight, tackle complexity, and lead transformation with confidence.
Members can get involved through private roundtables, invitation-only events, and curated research—connecting with peers shaping the future of enterprise engineering.
Show your work: How tech leaders make transformation legible
London
7 May 2026
More with less: How an IT automation strategy lays the foundation for growth
Virtual
21 May 2026
Leadership reimagined: Governing the agentic AI era
Virtual
16 Jun 2026
FEATURED REPORT
Escape AI pilot mode
Three ways engineering teams run AI experiments into measurable delivery improvements.
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AI tools don't create ROI
Enterprises are investing heavily in AI tools for software development. But without the right practices, architecture, and oversight in place, productivity gains remain inconsistent and hard to measure. To generate measurable returns, AI must be integrated into the software delivery lifecycle, not treated as a standalone tool.
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AI-native Engineering Field Manual
Enterprises everywhere are experimenting with AI, but most are stuck in pilots that fail to scale. Delivery is still too slow, fragile, and costly. Boards are demanding results. Competitors are moving ahead. The cost of standing still is losing ground.