AI is only as trustworthy as the information behind it.
In his latest Forbes Technology Council article, M-Files CPO Tony Grout explores why many enterprise AI initiatives struggle to scale beyond pilots and isolated use cases.
The challenge isn’t just the AI model itself. It’s the fragmented, disconnected information environment AI is asked to work with.
When documents lack clear ownership, version control, business relationships, and operational context, AI is forced to infer meaning. That uncertainty directly impacts trust in AI-generated outputs.
Key takeaways from the article:
• Documents remain the foundation of enterprise decision-making
• Context is what gives information meaning for both people and AI
• AI adoption stalls when critical knowledge exists only in employees’ heads
• Trustworthy AI requires strong information architecture, not just better tools
As organizations push AI deeper into critical business processes, context-rich information management becomes essential for delivering reliable, explainable, and trustworthy outcomes.
Read the full article here
What challenges has your organization faced when trying to scale AI initiatives across the business?
