Featured Speakers

Jean-Francois BobierBCG
Jean-Francois Bobier

Partner & Vice President

Jean-François helps global leaders turn AI and deep tech into tangible business value. A BCG partner, he specializes in digital platforms and large-scale transformation, with deep expertise in scaling innovation across complex organizations.

Yegor Denisov-BlanchStanford AI Lab
Yegor Denisov-Blanch

Research Scientist

Renowned for his work on AI for software development, Yegor helps IT executives quantify real impact. A Stanford researcher in AI Measurement Science, he focuses on developer productivity and previously led digital transformation at DHL.

Executive Summary

If AI isn’t delivering step-change gains in developer productivity across the board, the issue may not be the model – it’s the context.

In complex enterprise systems, AI operates without a precise understanding of application architecture, dependencies, and data access. The result: inconsistent outputs, rework, and limited trust from engineering teams — constraining impact at scale.

  • How do you move AI beyond code generation into enterprise-wide software delivery?
  • How do you improve accuracy when AI operates on enterprise applications?
  • How do you reduce rework and raise trust in AI-generated modifications?
  • How do you ensure the AI changes don’t introduce structural risk?

In this boardroom conversation, Stanford AI Lab’s Yegor Denisov-Blanch shares his findings on AI adoption and developer productivity – and what differentiates organizations pulling ahead of the pack.

BCG Partner Jean-Francois Bobier brings cross-industry insight into how leading enterprises leverage software mapping and intelligence technology to provide AI with the architectural context it lacks.

Discover how combining AI’s probabilistic capabilities with deterministic system understanding is unlocking AI-powered software delivery – accelerating change while maintaining control.

Includes a live Q&A with the speakers.

Register now