While implementation is moving faster than ever, many teams are discovering that delivery itself hasn’t necessarily become easier.
On September 2, 2026, we brought together industry experts to discuss what this shift means in practice. Rather than focusing on what AI can generate, the conversation centered on what still determines whether products are delivered successfully: good decisions, clear priorities, effective validation, and shared accountability.
The discussion highlighted a common misconception that faster code automatically leads to faster delivery. In reality, many of today’s challenges sit elsewhere. Bottlenecks often emerge in decision-making, unclear priorities, handoffs between teams, and the time it takes to validate whether the right problem is being solved.
Finding the real bottleneck
As AI reduces the effort needed to produce code, teams need to look beyond implementation to understand what is actually slowing progress. In many cases, the constraints are organizational rather than technical.
The webinar explored how delivery managers and other roles are adapting their responsibilities as AI becomes part of everyday workflows. Our experts also discussed how teams can evaluate practices based on the value they provide today, not the value they provided in the past.
Key takeaways
- Faster implementation doesn’t automatically mean faster delivery
- Coding is increasingly less likely to be the primary constraint
- Verification effort should move to where risk has shifted
- Delivery roles are evolving, but accountability remains unchanged
- Strong judgment and decision-making become even more important in AI-augmented environments
Recording & slides
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Looking ahead
Tools and models will continue to evolve. The teams that thrive will be those that develop sound judgment and strong collaboration to remain effective regardless of the technology being used. Successful delivery depends not only on what teams can produce, but on how effectively they make decisions and turn output into outcomes.