Sage has updated Sage Copilot to Sage Operations, which was formerly named “Sage Distribution and Manufacturing Operations”.
The update gives manufacturing and distribution teams a clearer and more proactive way to manage daily operations, helping them spot issues earlier, make faster decisions, and maintain consistent performance across fulfilment and supply chain activity.
Manufacturers and distributors continue to feel pressure to improve visibility and act before problems escalate. Analyst research supports this move toward more autonomous decision-making, with Gartner predicting that 25% of supply chain KPI reporting will be powered by GenAI models by 2028. The introduction of Sage Copilot to Sage Operations is a key step in that direction, giving businesses reliable, context aware insights that help teams focus on customer needs instead of administrative work
“Manufacturers and distributors need tools that cut through complexity, not add to it,” says Rob Sinfield, senior vice-president: ERP at Sage. “Sage Copilot gives teams a clearer view of emerging risks so they can act before problems escalate and safeguard service quality. By bringing trusted AI into everyday operational decisions, it strengthens performance where speed, accuracy and customer expectations matter most.”
Built using Sage Ai, Sage Copilot surfaces timely insight on key operational, fulfilment and customer issues. Teams can identify potential delays and bottlenecks earlier, understand the drivers of operational risk, and act sooner to protect timelines and service levels.
Insights are delivered directly into existing workflows, so staff can prioritise tasks, resolve issues quickly and maintain consistent service quality without switching between systems or relying on manual checks. This improves performance in environments where speed, accuracy and responsiveness are essential for customer satisfaction and revenue protection.
The introduction of Sage Copilot into Sage Operations lays the foundation for a broader network of intelligent operational agents embedded across the manufacturing and distribution lifecycle. These agents will not only flag emerging issues but will increasingly take on routine decision and action work that currently occupies operational teams.
As these capabilities evolve, organisations can expect fewer manual checks, faster responses to fulfilment risks and stronger customer relationships. This is enabled by domain-specific assistants that are built directly into workflow and designed to support the way operational teams work every day.