GenAI dominates executive discussions, promising to transform business operations and customer engagement. Yet, research shows that only 5% of GenAI pilots deliver measurable value, leaving 95% of them stalled. The models are not broken, but poor integration into real workflows prevents results. As discussed in the WEI webinar Unlocking AI Securely and at Scale: Leadership Strategies for Overcoming Organizational and Security Barriers, choosing the right AI infrastructure partner helps your organization accelerate AI time to value and join the small group achieving measurable outcomes. As an IT leader, you decide whether your organization stays in the 95% or joins the 5% realizing business impact.
Why Enterprises Fail Without the Right AI Infrastructure Partner
Three recurring problems explain why so many enterprise AI projects fail.
1. Poor workflow integration
Pilots often remain isolated proof-of-concepts with no link to existing processes. Without integration, even the most advanced models sit unused. Gartner reports more than 70% of executives cite integration as the main barrier to AI adoption. When data pipelines, applications, and workflows do not align, the technology fails to scale beyond experimentation.
2. Shadow AI adoption
Employees eager to innovate deploy tools outside IT oversight, creating security, compliance, and governance risks. Without enterprise-grade oversight, shadow AI blocks insights from scaling across the business and creates data privacy concerns that undermine long-term strategy.
3. Misaligned investments
Organizations often divert resources toward flashy pilots instead of building the foundational systems required for growth. Without a strong AI infrastructure partner to align strategy with execution, enterprises risk overspending on short-term experiments that never scale into lasting business value.
What the 5% Do with AI Infrastructure Consulting for Enterprises
Successful enterprises treat AI as a transformation, not experimentation. They follow consistent practices:
- Prioritize infrastructure. Enterprise-scale GenAI requires platforms that manage data pipelines, model training, and inference at speed.
- Rely on expert integration. Internal IT teams rarely have the capacity to manage complex deployments. Partnering with firms that deliver AI infrastructure consulting for enterprises accelerates adoption and reduces risks.
- Focus on measurable outcomes. Rather than running isolated pilots, successful enterprises define metrics, such as customer acquisition, faster decisions, or cost savings, and measure results against them.
How HPE and WEI Provide the Best Enterprise AI Integration Services
Partners such as HPE address these gaps directly. HPE delivers turnkey Private Cloud for AI (PCAI) infrastructure designed for enterprise workloads. PCAI provides the compute power and architecture to run AI securely while maintaining control over your data.
WEI adds integration expertise, guiding enterprises through deployment, governance, and workflow alignment. Their services help you accelerate AI time to value by closing the gap between pilots and full-scale adoption. For IT leaders, this combination of infrastructure and integration enables experimentation to yield measurable value.
By working with an experienced AI infrastructure partner like WEI, you gain both technology and strategic alignment between IT and business leadership. Combining HPE’s infrastructure with WEI’s expertise in the best enterprise AI integration services ensures pilots evolve into deployments that deliver ROI.
Four Steps to Accelerate AI Time to Value
To join the 5% achieving results, focus on four steps:
- Audit pilots: Identify projects tied to measurable outcomes and discontinue isolated experiments. Clear criteria for success keep resources focused where they matter most.
- Invest in infrastructure: Deploy platforms that support secure, high-performance workloads and connect to your current architecture. Strong foundations give your AI strategy room to grow.
- Engage integration partners: Work with an AI infrastructure partner like WEI, who understands enterprise requirements and customizes deployments. Many organizations succeed by combining consulting with the best enterprise AI integration services.
- Strengthen governance: Establish policies that prevent shadow AI and ensure compliance across departments. Governance frameworks maintain trust, security, and long-term adoption.
A structured approach enables you to move beyond experimentation and into measurable results. With expert AI infrastructure consulting for enterprises, you build frameworks that support sustainable adoption and growth.
Final Thoughts: Partnering to Accelerate AI Time to Value
The difference between stalled pilots and measurable success lies in integration, governance, and support. Enterprises that choose partners who understand infrastructure and workflows achieve outcomes faster. HPE’s PCAI platform, paired with WEI’s expertise, provides the foundation and consulting you need to accelerate AI time to value.
If you want to join the 5% delivering real outcomes, act now. Contact us at WEI to learn how our AI infrastructure consulting for enterprises, best enterprise AI integration services, and role as your trusted AI infrastructure partner help you achieve measurable results with confidence.
Next Steps: Accelerate your AI roadmap. Get the full brief, Fast-Tracking AI Implementation with HPE Private Cloud AI. Learn how WEI and HPE can help you go from stalled to scaled.
