The internal agent marketplace isn’t just a repository—it can be the backbone of safe

MIAMI--(BUSINESS WIRE)--OutSystems, the leading AI-powered low-code development platform, today announced strong early momentum for Agent Workbench, its enterprise-grade platform for building and orchestrating intelligent AI agents across data sets, workflows, or systems. Following its general availability launch on September 30, enterprises across industries are already using Agent Workbench to accelerate agentic transformation, moving from pilots to production and orchestrating multi-agent workflows with built-in human oversight that delivers measurable business outcomes.

As showcased during today’s OutSystems ONE World Tour Miami conference, Agent Workbench is experiencing impressive growth, with more than 5,500 agents in development. A fast-growing community of nearly 1,500 certified developers is already building enterprise-grade agentic applications with Agent Workbench.

Quick Intel

OutSystems Agent Workbench accelerates enterprise agentic AI adoption.

Over 5,500 AI agents are in development by early adopters.

Pioneering customers include Thermo Fisher, Axos Bank, and Ascot Insurance.

The platform features an open ecosystem supporting multiple LLMs.

A community of nearly 1,500 certified developers is building on the platform.

Use cases include log analysis, customer escalation, and KPI assessment.

“When applied strategically, agentic AI is one of the most powerful levers for enterprise innovation and transformation, empowering organizations to drive value faster, optimize workflows, and bring legacy systems into the future,” said Woodson Martin, CEO of OutSystems.

“Agent Workbench provides enterprises with the infrastructure to achieve unprecedented results with agentic systems, while maintaining critical observability and control. Our Early Access Program participants have already realized impressive gains with Agent Workbench, positioning them as industry leaders in navigating the agentic future,” Martin said.

Of the companies that have already tested the platform, Thermo Fisher Scientific used it to build a customer escalation agent that cuts manual work and speeds resolution, while The Arch Company replaced spreadsheet-driven processes with an agent that classifies and routes inquiries automatically.

The internal agent marketplace isn’t just a repository—it can be the backbone of safe, efficient, and trusted AI agent adoption across the enterprise.

Clear visibility into who’s using what, where, and how.3 An effective marketplace can offer administrators built-in monitoring, tracking, and analytics features to provide visibility into AI agent usage across the organization.

A centralized management layer. An effective marketplace can become a foundation for scaling the agent-driven management, monitoring, and optimization of other AI agents while keeping everything running smoothly.4 Having an organization’s agents tethered to a centralized location can make it possible to prevent downtime and inefficiencies by identifying and addressing performance issues proactively.

By -Aaradhay Sharma