How OutSystems’ AI Agent Workbench is Boosting Businesses

Imagine possessing an AI-driven assistant that could manage repetitive tasks for you, streamlining your operations and boosting efficiency. This is the vision of agentic AI.

This technology enables users to dramatically increase their efficiency by handling tasks autonomously.

Although Gen AI has been broadly incorporated to automate activities like writing emails or data management, agentic AI takes it further by empowering agents which don’t require constant human oversight.

Nevertheless, the development and deployment of such AI agents present challenges, particularly in aligning them with specific business needs.

OutSystems addresses these hurdles with its ‘Agent Workbench’ platform, designed for easy creation and customisation of agentic AI.

This low-code enterprise IT solution seeks to mitigate common issues associated with AI implementation.

As the company’s CEO, Woodson Martin, says: “Organisations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls.”

He also acknowledges the barriers posed by legacy systems and fragmented AI tools: “Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress” and emphasises that Agent Workbench “unlocks custom agents as a true business enabler — not an experiment.”

Enterprise-grade agent development

OutSystems' Agent Workbench transforms existing applications, workflows and tools into intelligent systems capable of complex decision-making.

The platform facilitates seamless integration with existing IT infrastructures, minimising disruption during deployment.

IT teams can therefore introduce agentic AI into their operations without overhauling fundamental systems.

Agent Workbench allows integration with customized AI models or third-party services such as Azure OpenAI and AWS Bedrock, granting businesses freedom in selecting their AI vendors.

Data integration and workflow orchestration

The platform supports connections to various data sources, offering a unified data fabric approach.

This provides agents with comprehensive context to ensure accurate, business-focused responses.

Multi-agent configurations enable collaborative workflows where different agents tackle complex tasks concurrently.

Agent Workbench is equipped with dynamic process flow adjustments, allowing AI to adapt as they learn in real-time.

Human oversight options are embedded, ensuring pathways for escalation when agents reach operational limits.

Ben Sekhon, VP for the UK & Ireland at OutSystems, says: “Agent Workbench is built for pragmatic leaders ready to put AI to real work, moving beyond AI pilots to production.”

Governance and monitoring measures

The platform incorporates enterprise-level monitoring like real-time logging and error tracing.

These features offer transparency and allow auditing of AI behaviours, addressing reliability concerns and ensuring clarity in AI decision-making.

Guardrails are in place to prevent ‘AI hallucinations’ and uphold explainability in operations.

Market positioning and availability

While still evolving, OutSystems is engaging with enterprises eager to explore AI’s frontier.

Gonçalo Borrêga, VP for Product, AI & App Development at OutSystems, invites forward-thinking teams to join their Early Adopters Program.

He emphasises the opportunity to “be hands-on with AI agents” and “push the boundaries of what companies can create with Agentic AI.”