03/16/2026
Many companies are excited about Generative AI. But turning AI experiments into reliable business systems is still a major challenge.
Recent research shows that 71% of organizations already use generative AI in at least one business function. However, only a small number have successfully scaled it across the enterprise.
This gap is becoming a common problem in the industry.
Many teams start with AI pilots. They build chatbots, copilots, or automation tools. But once these systems move into real operations, new challenges appear:
• Managing large language models and infrastructure
• Controlling cloud and model usage costs
• Protecting sensitive business data
• Maintaining model accuracy and reliability
• Integrating AI into existing business systems
Without the right operational support, AI projects often stay stuck in the pilot stage. Some studies even show that many AI initiatives fail to create measurable business value because they lack the right operational framework.
This is where NorthBay Solutions Generative AI Managed Services (GenAI MSP) can help.
Instead of managing complex AI systems internally, organizations can rely on a specialized team that focuses on operating, optimizing, and securing AI environments.
With a managed Generative AI approach, businesses can:
• Deploy AI solutions faster
• Improve model performance and reliability
• Manage costs through better infrastructure optimization
• Maintain strong security and governance standards
• Focus internal teams on innovation rather than AI operations
Generative AI has the potential to improve productivity, automate workflows, and create better customer experiences. But to achieve real results, organizations need more than just AI tools. They need a reliable way to run AI at scale.
Learn more about how NorthBay’s Generative AI MSP helps organizations move from AI experimentation to real business impact:
https://hubs.li/Q046W8-40
