Moving AI From Pilots Into Production
Why most enterprises stall and what it actually takes to scale AI
Sponsored Content: Openprise on February 6, 2026 at 4:28 pm | Reading time: 1 minute
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.
Opinions expressed in this article are those of the sponsor. MarTech neither confirms nor disputes any of the conclusions presented above.
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.
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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.
Opinions expressed in this article are those of the sponsor. MarTech neither confirms nor disputes any of the conclusions presented above.
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.
View Author Profile