TraceLink launched OPUS Agents—no-code enterprise AI agents that execute across the end-to-end supply network—introducing a governed, agentic workforce that operates alongside human teams to drive real-world outcomes.
This introduces a digital network-powered model where governed AI agents operate as permissioned users in concert with human teams to execute and coordinate operations across trading partners in real time.
“Supply chains don’t operate within four walls—they operate across broad, global trading partner networks,” says Shabbir Dahod, president and CEO of TraceLink. “With OPUS Agents, we are enabling companies to scale execution across their supply networks through hybrid human plus agent workforces—improving service levels, reducing disruption, and ensuring patients receive critical therapies when and where they are needed.”
Key takeaways:
· The Agentic Business Network provides a new, integrated operating environment where end-to-end, integrate-once business transactions, multi-enterprise collaboration processes, and real-time supply chain reporting enable continuous coordination across trading partners, supported autonomously by AI agents operating as governed participants within those workflows.
· Unlike conventional AI tools confined to chat or single-enterprise use cases, OPUS Agents operate directly within live network processes—approving or declining purchase orders, validating invoice data, managing exceptions, and driving real business outcomes across networks of suppliers, manufacturers, CMOs, logistics providers, wholesalers, and dispensers.
· Built on the OPUS Platform, these AI agents are created using a “say and see,” no-code approach, where business users define their agents’ profiles based on declaratively stating the desired agent’s intent, objective, tasks, decisions, and rules (IOTDR) in natural language, thereby providing agents with the instructions required to reason, adapt, and act across real-world supply chain scenarios without requiring code or pre-defined scripts.
· OPUS Agents deliver adaptive, AI-generated experiences embedded directly into processes—dynamically presenting the data, decisions, and actions required in context. Hence, users and agents operate within the same execution environment.
· At the core of OPUS Agents is a rich, metadata-driven network architecture that models critical business objects across companies, structuring information in such a way that large language models (LLMs) and small language models (SLMs) can be deployed to power governed agentic decision making.
· Powered by Integrate-Once OPUS platform, TraceLink links more than 300,000 authenticated organizations that exchange hundreds of billions of product transactions annually, creating a real-time, proven foundation for execution across the industry.
