Enterprise AI: What Goes Wrong - and How to Get It Right

​Enterprise AI: What Goes Wrong – and How to Get It Right
A session for leaders under pressure to deliver

​You don’t need convincing that AI matters.
Your backlog’s full. The board wants progress.

​But in practice?
Many AI initiatives stall long before they scale.

​In this session, we’ll dig into what’s going wrong - and what leading digital, product, and transformation teams are doing differently:

​What you’ll walk away with:
→ How to spot failure patterns early – before a PoC drags on
→ Ways to de-risk vendor decisions before the build begins
→ Delivery models that actually scale - not stall - in regulated environments
→ Real-world examples of what made today’s working AI use cases succeed
→ How to design for reuse, governance, and real business value from day oneIf you're in the thick of AI delivery this quarter, we’d love to have you join.

​📅 23 July | Sign up→ https://lu.ma/c51xbys5

​This session cuts past the noise. We’ll focus on the real reasons AI projects slow down or stall - and what high-performing teams are doing to move faster, with fewer surprises.

​All attendees will also receive our list of the top 20 enterprise AI use cases we’re seeing in market.

​If you’re responsible for getting AI-enabled journeys live, this session’s built for you.