Stibo Systems, a global leader in master data management (MDM), announced AgentWorkx, a new framework for building, deploying and governing AI agents within MDM, along with Stibo Systems Agents.

This innovation gives customers two ways to apply agentic AI to MDM: 1) use agents built and supported by Stibo Systems for common MDM workflows and 2) build and configure their own agents for requirements unique to their business. Both operate through the same AgentWorkx framework and within the governance, roles, permissions, and enterprise controls of the Stibo Systems platform (STEP).

“As AI agents take on more of the enterprise’s workload, the constraint is whether the data underneath can be relied on to make decisions at machine speed,” said Adrian Carr, CEO of Stibo Systems. “We built that foundation long before anyone was talking about agents, and it turns out to be the critical element required for AI to deliver value. When our customers are asked if they’re AI ready, we want the answer to be: we were ready yesterday.”

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From AI experimentation to AI at work

AgentWorkx brings the tools required to create and operate MDM agents into one framework, including a gallery of agents, a studio for building and configuring them, orchestration, and governance.

The first release includes two ready-to-use agents:

• Upload Anything AGT: Brings structured and unstructured data into the platform quickly, reducing onboarding processes that can take months to days.
• Content Optimizer Agent: Generates product descriptions, SEO content, and marketing copy using governed product attributes and business context.

Both are designed to turn MDM workflows into agentic experiences without requiring customers to build the underlying capabilities themselves.

For organizations that want to create their own agents, AgentWorkx provides access to the same framework Stibo Systems product and engineering teams use to build agents, while keeping them within the controls of the Stibo Systems platform.

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Moving from AI capability to AI ROI

“The AI conversation is shifting from ‘Can we build it?’ to ‘Can we trust it, scale it and prove the ROI?'” said Neda Nia, Chief Product & Growth Officer at Stibo Systems. “As agents take on more work, their precision and performance increasingly depend on the quality of the data and context behind them. Whether those agents operate inside MDM or across the broader enterprise, trustworthy data becomes even more important. AgentWorkx gives customers the flexibility to innovate within the governed environment of MDM, rather than creating the next generation of shadow AI.”

AgentWorkx builds on Stibo Systems’ existing MDM capabilities, including its semantic data foundation, role-based access controls, auditability, integrations, and management of relationships across domains such as products, customers, suppliers, and locations.

As enterprise AI evolves, Stibo Systems plans to expand both its portfolio of ready-to-use agents and the flexibility available through AgentWorkx, including work around bringing customers’ preferred models into their MDM environment.

“Ultimately, every company has data, context and institutional knowledge that is uniquely theirs,” Nia added. “That is increasingly where their competitive advantage lives. Our job is to help them put it to work without giving up trust and control.”