Leadership support for digital initiatives in B2B is hard to build and even harder to keep. Join senior B2B leaders as they share what it actually took to earn initial commitment, frame progress when timelines slipped, and keep digital on the agenda through the hard middle.

Explore how executive confidence in digital is earned, strengthened, and sustained. Through real decision moments, speakers share how they aligned finance and business leadership, positioned digital as core infrastructure, and moved organizations from cautious approval to long-term commitment.

Gain strategies on how to frame your progress:

• Clarifying what leadership needs to see before committing beyond pilots
• Positioning digital as core business infrastructure rather than discretionary spend
• Sustaining confidence when timelines extend and priorities compete

Across B2B, AI investment is accelerating while enterprise-wide adoption is not. The gap between what AI can do and how deeply it gets used lives inside the workflow experience itself, where invisible automation breeds hesitation, adoption plateaus, and efficiency gains never fully materialize.

Hear how Sonepar deployed AI into revenue-critical sales order workflows and engineered trust directly into the experience, building a closed feedback loop that showed frontline teams how their own corrections were training the system and turning AI into a co-pilot shaped by their own expertise. That design decision produced measurable gains in workflow penetration, time reallocation, and global scale. In a market where every competitor is investing in AI, enterprise adoption is what separates organizations that realize the gains from those that don't.

Move your AI pilot to enterprise operating standard:

• Deploying AI into revenue-critical workflows where accuracy and speed directly impact customer outcomes
• Designing closed feedback loops that make AI learning visible and build frontline team ownership
• Scaling adoption through early wins and credibility pockets rather than organization-wide mandates
• Protecting dedicated innovation capacity to sustain AI momentum beyond the initial pilot