2025 Enterprise AI strategy guide
Stop layering new technology over old problems. Discover why 95% of AI initiatives failed last year and how to pivot toward a strategy that delivers measurable results.
AI isn’t failing your business.
Your architecture is.
While billions were spent on Generative AI, the reality for most organizations has been a landscape of "AI washing," declining service quality, and zero measurable impact. The problem isn't the maturity of the models; it’s a fundamental misalignment between modern intelligence and legacy environments.
Our latest white paper examines why 95% of AI initiatives have stalled and outlines the structural shifts required to finally move from theoretical experiments to operational ROI.
Inside the analysis:
- Why traditional organizational systems actively resist AI integration
- How accumulated management practices and bad code are draining up to 40% of engineering capacity
- Why AI currently lacks the permission to act across departmental silos and how to fix the authority gap
- Moving from code-heavy, rigid frameworks toward a business-process-driven architecture that supports end-to-end workflows
- A blueprint for 2026: Navigating the transition from hype-driven pilots to a foundation of actionable, governed intelligence
Download the white paper to learn how to dismantle the barriers to AI adoption and build a foundation for measurable productivity.