Engineering Productivity in 2026: Where AI Actually Pays Off
The mandate to ‘do more with less’ (or at least doing more with the same) in today’s demanding tech landscape is often seen as achieving productivity and efficiency gains that are powered by AI in the SDLC.
Many leadership teams have made considerable investments in AI tools to gain a competitive advantage in software engineering, so the pressure is on to demonstrate a clear return on investment and secure a tangible payback on these tools.
In addition, as the pressure to drive down costs is ever-more present, CTOs have less opportunity to hire, so they’re being required to ensure their teams are as efficient as possible to align software delivery with business and investor goals.
Discussion points:
How is AI-driven productivity defined and measured?
What tangible metrics can be used to justify AI investments?
What are the most effective tactics for driving AI tool adoption across development teams?
What are realistic productivity improvements that can be expected from AI adoption?
How should leaders structure their teams to ensure they can effectively leverage AI augmentation?
What guardrails should be put in place to safely scaling AI use across organisations?
How can junior engineers be productive?
Panel host: Alan Jackson, Director of Client Solutions, Codurance
Panellists:
Mike Forman, CTO at Expana
Dr Claire Knight, Director of Engineering at n8n
Sandro Mancuso, Group CEO at Codurance
Anna Shipman, CTO and Digital Health Technology Leader
Event timings:
6:00-6:45 - Welcome and networking
6:45-8:00 - Panel discussion
8:00-8:30 - Networking
Who should attend:
This event is for CTOs and technology leaders who are grappling with the challenges of maximising value for the AI investments into software engineering.
Spaces for this event are very limited and prioritised for CTOs leading teams that build or manage products, platforms, or engineering teams within companies. CTOs from vendors and solution providers are placed on a waitlist and may be offered a place if they are available nearer the date.