RADAR: Enterprise AI Backbone for Pharmaceutical Manufacturing

Build RADAR as Union Agener's enterprise AI backbone for pharmaceutical manufacturing by turning daily operational discussions into accessible priorities and information aligned with the strategic plan. The deployed phase analyzes meeting transcripts, identifies critical and priority activities, retrieves information from earlier meetings and automatically distributes summaries across site TVs. It also connects 6,000 sensors for real-time performance against targets and lets department owners manage local TV content in the same system. Development ran from December 2025 to April 2026. The next planned layer comprises specialized Quality, Production and Engineering AI agents.

Organizational climate surveys comparing 2025 and 2026 showed increases of 72 percentage points in site-wide communication, 43 percentage points in perceived employee engagement and 35 percentage points in trust in site leadership, as confirmed by the executive sponsor. RADAR supports access to operational information for an estimated 200 employees through the Daily Update and departmental TV displays. These survey outcomes accompany the rollout and broader site transformation; RADAR is not presented as their sole cause. The site forecasts a 45% production increase for full-year 2026. The sponsor identifies RADAR as an important enabler of alignment around that goal; this forecast is not a completed production result or an increase attributed solely to RADAR.

RADAR uses Microsoft Copilot and Claude by Anthropic. Its deployed workflow analyzes daily meeting transcripts, classifies information, identifies critical and priority activities, retrieves information from previous meetings and automatically publishes summaries to site TVs. The same platform supports departmental TV content management and a connection to 6,000 sensors for real-time data against targets. Department owners can add local information, such as Quality release-related pending items listed in SAP. The SAP example describes the source of departmental information; an automated SAP connector is not claimed.

The principal challenge was understanding why information shared by departmental representatives in daily meetings did not reach the people who needed it. The team examined the underlying processes and information needs before defining a simple solution with a common language from the General Manager to frontline employees. RADAR translates meeting transcripts into classified information, critical and priority activities, historical context and automatically distributed TV summaries. Department owners add local content within the same system, while live indicators show performance against targets. The approach connects shared site priorities and specific departmental routines with the company's strategic plan.

RADAR: Building the Enterprise AI Backbone for Pharmaceutical Manufacturing

Union Agener, Inc. developed RADAR at its animal health pharmaceutical manufacturing operation in Augusta, Georgia, from December 2025 to April 2026.

Before RADAR, departmental representatives shared updates in daily meetings, but the information did not reliably reach the employees who needed it. RADAR uses AI to analyze meeting transcripts, interpret and classify the discussion, identify critical and priority activities and retrieve information from earlier meetings. It automatically distributes a summary across site TVs to support alignment and engagement throughout the company. Microsoft Copilot and Claude by Anthropic are the AI tools used.

Department owners manage their TVs within the same system and add information specific to their areas. For example, Quality can include release-related pending items listed in SAP, translating them into clear daily priorities. This is departmental content management; an automated SAP integration is not claimed. RADAR also connects to 6,000 sensors to display real-time performance against targets.

The main challenge was understanding the root causes of information difficulties and the underlying processes before choosing the solution. The team focused on a simple approach and a common language from the General Manager to frontline employees, connecting the information people need with the company's strategic plan.

The sponsor estimates that RADAR supports 200 employee workplaces by making information available in daily routines and reducing individual searches. This represents employees whose information workflow is supported, not individual platform logins.

Organizational climate surveys comparing 2025 and 2026 showed increases of 72 percentage points in site-wide communication, 43 percentage points in perceived employee engagement and 35 percentage points in trust in site leadership, as confirmed by the sponsor. These outcomes accompany RADAR and the broader site transformation; exclusive causation is not claimed. The site forecasts a 45% production increase for full-year 2026, with RADAR supporting alignment around that goal. This forecast is not a completed result.

RADAR forms the deployed foundation of a broader enterprise AI architecture connecting operational data, information, knowledge and AI applications. Specialized Quality, Production and Engineering agents are planned as the next layer; their capabilities and benefits are not presented as delivered.

Augusta, Georgia, United States. The nominated phase was implemented at Union Agener, Inc.'s animal health pharmaceutical manufacturing operation. Scaling the enterprise AI architecture is a strategic objective; deployment at other sites or countries is not claimed.