🎙️ In this episode, we explore what it really takes to move AI agents from experimentation into production, and where many initiatives fall short.

Joining us is Gregory Leproux, VP Solution Engineering at Salesforce Switzerland, who works closely with enterprise customers to turn AI and Agentforce strategies into scalable, real-world solutions.

In this conversation, we discuss how AI conversations have evolved, from early-stage pilots to a strong focus on delivering tangible value quickly, and what separates successful AI programs from those that never move beyond the POC stage.

Gregory shares practical insights on:

• How to identify high-value AI use cases
• Why “production-first thinking” is critical
• The most common (and costly) mistakes in AI rollouts
• The growing importance of change management and cross-functional alignment

We also explore how the role of solution architects is changing, why working directly within customer environments has become essential, and how companies can successfully test, learn, and iterate when building AI agents.

A key takeaway from the episode:

AI agents should be treated as digital employees, requiring continuous monitoring, measurement, and improvement.

If you’re working on AI, Agentforce, or scaling your first use cases, this episode offers a grounded, experience-driven perspective.

Gregory Leproux: 

🔗 www.linkedin.com/in/gregoryleproux

Steffi Kromer & InspireAI

🌐 www.inspireai.com

🔗 www.linkedin.com/in/steffi-kromer