Join host Sol for a conversation with Kevin Zhou, Solution Architect at Myers-Holum, about his journey through the NetSuite ecosystem and what it takes to bring AI into business operations in a useful, trustworthy way.

Drawing on his experience in implementation consulting and solution architecture, Kevin explores opportunities for AI in analytics, purchasing, and workforce scheduling. He also discusses the work behind successful adoption: understanding your data, controlling what AI can access, checking its outputs, and helping employees see where it fits into their daily tasks.

🔍 Episode Highlights:
- Kevin’s path from studying business and computer science to Oracle NetSuite, consulting, and solution architecture at Myers-Holum.
- Why ERP transformation extends beyond go-live, with integration, training, and change management shaping long-term success.
- Opportunities for AI-powered analytics and agents, including purchasing workflows and scheduling people with different skills and certifications.
- Building trust through clear data definitions, controlled access, and outputs that can be checked against their source data.
- Connecting AI with NetSuite, including the role of data context and standardized prompts in producing more consistent results.
- Moving from experimentation to adoption by choosing specific, testable use cases and helping employees experience the value firsthand.

Whether you work with NetSuite, lead business operations, or are evaluating AI for your organization, this episode offers a practical perspective on choosing where to start and what needs to be in place for people to use the tools with confidence.

🎧 Tune in for a conversation about better ERP systems, trustworthy AI, and turning promising ideas into everyday practice.