R.B.Hall Associates, LLC helps SMBs move AI efforts past pilots toward measurable business outcomes. This blog on Check Point Software's approach explains how visibility into real AI usage supports better decisions so you can:
- Spot high-value, repeatable workflows instead of one-off experiments
- Reduce stalled or low-impact AI pilots that drain time and budget
- Confidently scale what works with clear policies and smarter risk management
We use these insights to help clients reshape manual processes, strengthen cybersecurity, and generate new revenue opportunities around AI. Read the blog to see how AI visibility supports smarter, data-driven strategy.
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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