Moving AI From Pilots Into Production

Why most enterprises stall and what it actually takes to scale AI

Most enterprise AI initiatives aren’t failing due to a lack of talent or technology—they’re stalling because they can't survive the transition from a controlled pilot to the chaos of a live production environment. When 95% of AI projects fail to deliver a measurable ROI, "experimentation" is no longer a viable strategy.

In this executive briefing, The Executive Imperative, we move past the hype to address the structural and operational gaps that keep AI stuck in perpetual proof-of-concept mode.

What you’ll learn:

The three executive responsibilities: Why moving AI into production requires high-level decisions on ownership, risk posture, and measurement discipline that teams cannot make alone.
The six operational pillars: A blueprint for execution, with a deep dive into why context orchestration is the primary failure point for most deployments.
Breaking the "Pilot Trap": How to move beyond manually stabilized demos and build systems that run reliably across real-world data and fragmented workflows.

Openprise makes your GTM data smarter with AI and automation. As the only AI and automation platform built for modern go-to-market teams, Openprise unifies your data silos, orchestrates your processes, and consolidates point solutions so Ops leaders can build smarter GTM data — your data, your way, your timeline. Fortune 500 companies and high-growth enterprises alike rely on Openprise and its partner ecosystem to unlock cleaner data, more efficient operations, and AI-ready pipelines.