Consider an existing customer who requests a larger order with an earlier delivery date. Your Customer Relationship Management (CRM) system uses AI to review previous purchases and communications, helping your sales team prepare a response. The opportunity looks encouraging. Unfortunately, some of the inventory is already allocated, production has other commitments, and the requested payment terms need approval. As Artificial Intelligence continues to reshape customer relationships, organizatio [...]

Imagine that a supplier tells your purchasing team a shipment will arrive later than expected. First, an employee asks an AI assistant for the status of the related purchase order. The assistant checks ERP and provides an answer. Then, the employee asks it to prepare a revised delivery date. Finally, they ask the assistant to submit the change. Although these requests may happen in one conversation, each message gives the AI a different responsibility. Additionally, each request may have larger [...]

As AI becomes more capable, businesses may find themselves asking a familiar question: How much of a process should they change, and how much should they keep under direct human control? That question becomes especially important when AI connects to an enterprise resource planning (ERP) system. A response about a purchase order may seem simple, but changing that order could affect a supplier commitment, production schedule, and financial records. Over the next couple weeks, we will look at when [...]

As technology continues to advance, many organizations are searching for the best place to begin with AI. For companies in manufacturing, life sciences, agriculture, and other operationally complex industries, the answer may already be sitting inside the business. Years of information related to finance, procurement, production, inventory, supply chain, human resources, and customer activity are often stored within SAP or another enterprise resource planning system. That information provides a [...]

A large medical center is considering AI integration for their current processes. They may see potential applications across clinical care, research, administration, health information management, and IT. However, with so many departments, technologies, and possible use cases to consider, leadership may struggle to determine where to begin and how to prepare employees with different levels of technical experience. As organizations move into planning AI architecture, the number of available tech [...]

As artificial intelligence continues to advance, organizations may feel pressure to implement enterprise AI as quickly as possible. However, leadership should first consider the direction they want enterprise AI to take. For instance, the organization should determine how the technology will find reliable information, connect with existing systems, follow approved processes, and protect sensitive data. Within medium to large organizations, these decisions become especially important. For instanc [...]