Why 95% of enterprise AI pilots fail and Why Wegrow succeeds

Why 95% of enterprise AI pilots fail and Why Wegrow succeeds

The recent MIT report The GenAI divide: State of AI in Business 2025 sends a sobering message: 95% of enterprise AI pilots fail to deliver measurable business impact.

Executives have invested heavily in generative AI, expecting it to unlock rapid revenue growth and competitive advantage. Yet, the vast majority remain stuck at the pilot stage, unable to scale, unable to prove ROI.

At Wegrow, we see this divide every day. We also see why some companies succeed where most stumble. And it doesn’t come down to the “intelligence” of the AI models, it comes down to how AI is integrated into the enterprise fabric.

Why AI fails in enterprises

According to MIT, the root cause is not regulation, not lack of model performance, but a learning gap driving to adoption:

• Generic tools don’t adapt to workflows. ChatGPT may be powerful for individuals, but in organizations it becomes “shadow AI” because it doesn’t learn from business processes or integrate with enterprise systems.
  
  
• Internal builds often underdeliver. Companies that try to build proprietary tools from scratch succeed only one-third as often as those partnering with specialized vendors.
  
  
• Misaligned investment. More than half of enterprise AI budgets go to sales and marketing pilots, yet the strongest ROI is found in operations: automation, process optimization and knowledge reuse.

In short: enterprises often treat AI as a quick win, not a long-term transformation.

Why Wegrow succeeds

At Wegrow, we designed our AI differently from the start. Not as a generic assistant, but as a business performance engine, built around one universal challenge: how do organizations capture, share and scale what works best?

Here’s why Wegrow is part of the 5% success stories:

• AI shaped by your organization
  Wegrow doesn’t rely on generic prompts. Instead, our AI assistant, Widgy, has been shaped by over four years of real enterprise use to understand and scale what works. It learns from your company’s best practices, processes and context. It helps companies make knowledge more actionable and ensure teams can replicate success faster. Designed to be simple, engaging and multilingual, it adapts to your organization rather than forcing people to adapt to the tool.
  
  
• Proven ROI, not experiments
  Trusted by Fortune 500 leaders across industries (including Nestlé, Henkel, Danone, Bayer, Circet and HP), Wegrow delivers measurable results:
  ◊ 70% faster knowledge discovery and creation
  ◊ 30% quicker project launches
  ◊ Millions in cost savings through reuse of best practices
  
  
• Deep integration, not surface pilots
  Our AI is embedded in workflows, integrating with Microsoft 365, Teams, Google, Salesforce; so employees access knowledge seamlessly where they already work
  .
• Trustworthy and ethical by design
  As a B Corp, we embed ethics and transparency into every AI decision. ISO 27001 and GDPR compliance ensure enterprise-grade security, while human supervision guarantees fairness and accountability

The future of AI: From pilots to transformation

The MIT report points to the rise of agentic AI, systems that can learn and adapt within enterprise guardrails. 

Our vision is AI amplifying the power of human expertise, making knowledge more actionable, scaling it globally and ensuring every team starts stronger because they build on proven insights.

Closing the GenAI divide

95% of enterprise AI pilots fail because they are experiments in isolation. The 5% succeed because they solve real business problems, with the right partners and with integration at the core.

At Wegrow, we’re proud to be in that 5%. Not by chance, but by design. Because we believe AI is not about hype, it’s about helping organizations grow faster, smarter and more sustainably.

Source: Fortune - MIT report: 95% of generative AI pilots at companies are failing