OutSystems Agent Workbench has now reached general availability, providing a powerful, low-code platform to accelerate agentic AI adoption across enterprises and simplify how intelligent agents are built, managed, and deployed.

OutSystems has officially launched the general availability of its Agent Workbench, a powerful low-code platform designed to help enterprises build, orchestrate, and deploy agentic AI at scale. As organizations increasingly turn to intelligent agents to automate complex processes, improve operational efficiency, and create adaptive digital experiences, Agent Workbench arrives as a timely solution designed to simplify how AI systems are built and managed—while addressing the governance and compliance challenges that often hinder enterprise AI adoption.

The platform marks a significant milestone for OutSystems as it positions itself at the forefront of the agentic AI revolution. With its low-code foundations, flexible model support, and enterprise-grade orchestration capabilities, Agent Workbench is engineered to help teams move from small pilot experiments to scalable, mission-critical deployments that operate securely and reliably across an organization’s ecosystem.

Solving the Biggest Barriers to Agentic AI Adoption

While AI agents offer enormous potential—from autonomous decision-making to dynamic workflow execution—many enterprises still struggle to adopt them widely. Technical, operational, and governance-related barriers often prevent organizations from transitioning from prototypes to production-grade AI systems.

OutSystems developed Agent Workbench specifically to address these challenges. Most AI teams face common obstacles:

• Difficulty governing multiple agents across departments

• Integration complexity, especially when connecting agents to legacy systems

• Lack of enterprise controls, such as auditing, access management, and compliance frameworks

• Scalability issues when moving beyond small experiments

• Inconsistent development processes across teams

Agent Workbench eliminates these pain points through a cohesive platform where AI agents can be built, reviewed, tested, deployed, and monitored—all within a governed lifecycle. This unified approach empowers enterprises to scale agentic AI across business units without compromising oversight or security.

By embedding governance and compliance into every step, the platform enables organizations to push AI agents into high-stakes workflows with confidence, ensuring safety, reliability, and operational consistency.

Strong Early Momentum: Thousands of AI Agents Already in Development

Since becoming generally available on September 30, 2025, Agent Workbench has experienced rapid adoption across industries. OutSystems reports that:

• Over 5,500 AI agents are currently being developed on the platform

• A thriving ecosystem of 1,500+ certified developers is growing around Agent Workbench

• Early adopters include some of the most innovation-driven organizations worldwide

Companies such as Axos Bank, Thermo Fisher Scientific, and Ascot Insurance have already deployed agents that automate mission-critical processes, demonstrating the platform’s ability to operate in complex, high-value environments.

These early successes illustrate how Agent Workbench enables organizations to accelerate time-to-value, reduce operational burden, and automate tasks once considered too nuanced or data-intensive for traditional systems.

Real-World Use Cases Demonstrate Tangible Impact

Three examples from early adopters highlight the transformative potential of Agent Workbench:

Axos Bank: Intelligent Log Analysis Agent

Axos Bank created an AI agent capable of analyzing operational error logs in real time. Traditionally, engineers spent hours reviewing logs to diagnose issues and determine corrective action. Using Agent Workbench, Axos built a smart agent that:

• Interprets log data continuously

• Detects patterns and anomalies

• Provides actionable recommendations on the spot

This automated insight significantly reduces manual review time, accelerates incident resolution, and strengthens system reliability.

Thermo Fisher Scientific: Customer Escalation Automation

Thermo Fisher Scientific built a Customer Escalation Agent that processes unstructured data from customer interactions—including support tickets, emails, and transcripts.

Using agentic reasoning, the system now:

• Identifies escalation triggers

• Categorizes issues

• Routes cases to the appropriate teams

This has dramatically improved response times and reduced the workload of customer service staff, while also ensuring that high-priority inquiries receive immediate attention.

Ascot Insurance: KPI Extraction from Unstructured Data

Ascot Insurance faced a challenge shared across the insurance industry—massive volumes of unstructured data trapped in logs and activity reports.

With Agent Workbench, Ascot created an agent that:

• Parses activity logs

• Identifies relevant KPIs

• Produces insights previously unreachable through manual analysis

This agentic workflow gives Ascot real-time visibility into operational performance and enhances decision-making across the organization.

Core Capabilities That Differentiate Agent Workbench

OutSystems has designed Agent Workbench as a complete, enterprise-ready platform for building agentic solutions. It combines simplicity and governance with flexibility and scalability, providing a toolkit that works for both business users and advanced developers.

1. Low-Code Builder for Intelligent Agents

The platform democratizes AI agent creation:

• Business users can design workflows without deep AI expertise

• Developers can build complex logic with low-code tools

• Teams can rapidly prototype and refine agents based on outcomes

Agents can reason, plan actions, and achieve goals without requiring complex coding or custom model assembly.

2. Full Lifecycle Orchestration & Governance

Agent Workbench covers the entire agent lifecycle:

• Design

• Validation & testing

• Deployment

• Monitoring & optimization

• Audit and governance control

Built-in enterprise features—such as versioning, access control, approval workflows, and audit trails—ensure safe and compliant deployment even in regulated industries.

3. Flexibility Across Major LLM Providers

One of its strongest advantages is broad LLM compatibility. Agent Workbench supports models from:

• Amazon Bedrock

• Azure OpenAI

• Anthropic

• Google Gemini

• Cohere

• Mistral

• AI2

• Databricks

• IBM watsonx

• Vertex AI

• Hugging Face

Teams can integrate a model once and apply it across multiple agents, eliminating redundant setup work.

4. Open Ecosystem & Expanding Marketplace

OutSystems also offers:

• Pre-built agent templates

• Multi-agent workflow components

• Ready-to-use automations for scheduling, knowledge extraction, task routing, and more

This ecosystem reduces development time and helps organizations adopt proven, scalable patterns for AI operations.

5. Developer Enablement at Scale

With nearly 1,500 developers certified, OutSystems has invested heavily in training programs, documentation, and learning paths.

These support efforts ensure that enterprises don’t just adopt the platform—they build a sustainable internal capability for agentic AI.

Strategic Business Impact of Agent Workbench

By introducing a unified platform for building and orchestrating AI agents, OutSystems is enabling enterprises to transform how they automate workflows and scale digital operations.

Here’s how organizations benefit:

Scalable Agentic AI Across the Enterprise

Rather than relying on fragmented, point-based AI tools, enterprises can deploy multi-agent systems that collaborate across functions and systems. This enables:

• End-to-end process automation

• Cross-department coordination

• Faster response times

• Reduced human intervention

Agent Workbench lays the foundation for agentic transformation at scale.

Major Gains in Operational Efficiency

Agents can:

• Process data

• Make decisions

• Trigger system actions

• Collaborate with other agents

These capabilities help organizations eliminate manual tasks, reduce error rates, and increase throughput in workflows that traditionally require significant human oversight.

Trusted AI with Governance at Its Core

With built-in security, auditing, and compliance controls, enterprises gain the confidence to deploy AI agents in areas such as:

• Finance

• Insurance

• Healthcare

• Life sciences

• Banking

The platform ensures that AI actions remain visible, reviewable, and traceable.

Innovation Across Departments and Systems

Agent Workbench allows agents to work across:

• Legacy systems

• Cloud platforms

• CRM and ERP applications

• Knowledge bases

• Document repositories

• Operational systems

This cross-functional capability drives innovation far beyond isolated use cases.

Accelerated Time-to-Value

Low-code development, pre-built integrations, and reusable components reduce time-to-production and let organizations experiment, iterate, and deploy at a significantly faster pace.

Challenges Organizations Should Prepare For

Despite its advantages, successful adoption of agentic AI requires careful planning:

1. Data Integration

Enterprises must ensure AI agents have access to clean, unified data across systems.

2. Governance & Policy Design

Organizations need clear guidelines on agent oversight, escalation triggers, approval processes, and auditing.

3. Organizational Change Management

Teams must adapt to working alongside AI agents, not just traditional applications.

4. Model Selection & Optimization

Different tasks require different LLMs, and organizations must choose models based on cost, latency, accuracy, and domain needs.

The Future of Agent Workbench and Enterprise AI

As OutSystems continues expanding the platform, the industry can expect:

• Broader adoption of multi-agent ecosystems

• More pre-built agents for common enterprise scenarios

• Enhanced observability and oversight features

• Deeper human–AI collaboration

• More robust orchestration for large agent fleets

• Continuous improvements driven by developer community feedback

The platform is poised to become a cornerstone for enterprise AI strategy.

Conclusion: A Transformational Step Toward Production-Ready Agentic AI

The general availability of OutSystems Agent Workbench marks a critical turning point for how enterprises can build and scale agentic AI. By offering a secure, compliant, and low-code environment for developing AI agents, OutSystems enables organizations to move beyond isolated experiments into a future where intelligent agents operate at the core of business processes.

Agent Workbench empowers enterprises to adopt agentic AI not as a novelty—but as a powerful, production-ready capability that accelerates innovation, enhances operational efficiency, and drives measurable business impact.

Discover IT Tech News for the latest updates on IT advancements and AI innovations.