In most manufacturing organizations, the risk manager and the safety director are working toward the same goal. They’re watching the same employees, tracking the same exposures, trying to reduce the same losses. What they’re often missing is a shared operational system to do it from. That structural gap is what manufacturing risk and safety leaders came to talk about at Origami Risk’s 2026 Manufacturing User Group. And it’s shaping everything they’re prioritizing right now. Safety and Risk: Managing the Same People From Different Systems When asked whether safety and risk share the same reporting structure, nearly every attendee at the user group shook their head. Safety sits under HR or operations. Risk and claims report somewhere else. The teams collaborate, but they’re working around an org chart that wasn’t built for cross-functional visibility. Even though the information exists, knowing where everything lives is another problem. The consequence shows up in the data where safety audit findings live in one system and claims data lives in another. Employee certifications, equipment evaluations, and training completions are spread across folders, spreadsheets, and legacy platforms. One client described exactly this starting point in a session showcase. Before consolidating onto Origami Risk, their team managed safety observations, powered industrial truck evaluations, Human Resource Information System (HRIS) data, and claims in separate systems with no unified view. The data existed, but the connections between it did not. That observation resonated because it described something the room already knew. Attendees shared similar experiences where purpose-built systems for individual functions, data spread across all of them, and no practical way to pull it together into a coherent picture. What Manufacturers Are Prioritizing to Fix It The clearest signal of where these leaders are focused came from a live poll during the session. Asked which processes they most needed to track end-to-end, audit and inspection management came in first. Management of change and regulatory compliance tied for second. The deeper priority underneath all of it is the employee-level view. As one client explained, their goal was straightforward: create a single view that combines pre-loss activity, certifications, evaluations, incidents, and claims for every employee. During the session, they walked the group through how they achieved that with Origami Risk by tying all of that information back to the individual employee record. A safety manager can now see every audit a teammate has participated in, every certification and its expiration date, and every incident or claim associated with that person, all in one place. For their safety and risk teams, that connected view transformed how they manage day-to-day operations and decide where to focus their attention. The reaction from attendees across the group was consistent. They recognized the goal immediately and were actively working toward it. Most still need to work on the HRIS connection, the full pre-loss picture, and the unified employee record. The showcase gave the group a concrete model for what closing that gap actually looks like in practice. AI in Manufacturing Risk: Practical Interest, Measured Expectations AI was one of the most discussed topics in the session, and the conversations stayed grounded in operational problems rather than broad possibility. These are practitioners who have clearly thought about where AI fits into their actual workflows, not just the category in general. The most concrete use case was incident intake quality. One attendee described a challenge familiar to any manufacturing risk team managing high volumes. Front-line supervisors submit incident reports with minimal detail, and three-word descriptions are common. With ten or more incidents a day, getting useful narrative data at scale is an ongoing problem. AI-assisted intake, several attendees agreed, offers a path to a more structured, conversational reporting process that captures what investigators actually need without adding friction to the front line. Others framed their interest in similarly practical terms. Several attendees described wanting the ability to ask the system basic operational questions and get meaningful answers without a manual search, whether for fleet operations, incident history, or compliance tracking. Those same voices offered caution on higher-stakes AI tasks like policy document ingestion, where a confident wrong answer creates more work than it saves. That measured posture was broadly shared. Across the group, appetite for AI was real. But that appetite is couched in concerns about unvalidated outputs on consequential decisions. The AI capabilities generating the most genuine interest are tied to specific operational friction: faster incident intake, proactive compliance alerts, connected chemical data accessible from the production floor during an emergency response. AI earns trust here when it fits directly into an existing workflow and visibly reduces a burden the team already carries. The Program These Leaders Are Building Toward What emerged from the user group was a clear picture of where manufacturing risk programs are heading. The leaders in the room are building toward connected operational environments where safety, risk, claims, and compliance share a single data foundation. The employee record serves as the thread running through pre-loss activity, certifications, incidents, and claims. This way when something happens, the full picture is available without a four-system search. They’re also reframing the relationship between safety and risk. The org chart keeps these functions separate, but the most effective programs treat them as a shared operational discipline. When safety audit findings connect directly to claims data, and when corrective actions are tracked from assignment through resolution, the gap between prevention and response closes in a meaningful way. Everyone agreed that one place to see everything that matters, tied back to the people and locations it affects would be ideal. Getting there means connecting systems that have historically operated independently. That work is underway across the manufacturing industry, and the organizations moving on it now are building the foundation for programs that can scale, respond, and improve over time. Explore how manufacturing organizations are using Origami Risk to connect safety, risk, and insurance data.