Shift AI efforts from pilots to measurable outcomes.
This blog post shows how visibility into real AI usage supports better strategy decisions by helping you:
- Identify high-value workflows
- Reduce stalled AI pilots
- Scale what works
Read this blog to learn how AI visibility supports smarter decisions.
Shadow AI refers to the use of AI tools by employees without the knowledge or approval of IT departments. A study from MIT's Nanda Project found that 90% of employees use AI for work, often keeping this activity hidden. This trend highlights a disconnect between official enterprise AI initiatives and actual usage, as employees are not waiting for permission to adopt these tools.
How can organizations leverage hidden AI usage?
CIOs can transform hidden AI usage into a strategic advantage by gaining visibility into the tools employees are using and how they are being utilized. By deploying visibility tools like GenAI Protect, organizations can monitor usage, understand employee behavior, and create informed policies that encourage secure adoption of AI tools, ultimately improving productivity and workflows.
What are the challenges of AI implementation?
Organizations face several challenges in AI implementation, including a high failure rate of AI pilots—95% do not make it to production. To overcome these challenges, companies should focus on targeting high-value, repeatable workflows, such as contract review and document summarization. Partnering with vendors that offer adaptable tools and treating AI procurement like a business process outsourcing partnership can also help organizations effectively integrate AI into their operations.
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