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OutSystems sees surge in enterprise AI agents with Agent Workbench

Fri, 21st Nov 2025

OutSystems has reported strong uptake of its Agent Workbench platform, with enterprises such as Thermo Fisher Scientific, Axos Bank, and Ascot Insurance developing thousands of AI agents to automate processes and drive efficiencies.

Enterprise momentum

Since the general availability launch of Agent Workbench, more than 5,500 AI agents are in development across various industries. The platform's early adoption is accompanied by a growing community of close to 1,500 certified developers.

Organisations are moving from piloting agentic AI technology to deploying it in operational workflows where multi-agent orchestration and human oversight are required.

Operational use cases

Axos Bank is using Agent Workbench to automate its internal processes. The bank has developed an agent that interprets error logs and offers real-time recommendations, which has reduced reliance on manual analysis. Another agent automates document mapping to improve data accuracy and remove repetitive data entry tasks.

Thermo Fisher Scientific uses Agent Workbench for its customer escalation operations. An AI agent processes unstructured customer data to categorise and resolve issues more quickly, reducing the need for manual intervention and improving resolution times.

At Ascot Insurance, Agent Workbench is applied within its "Avail Claims" platform. AI agents analyse activity logs and notes to establish key performance indicators, extracting insights from data sources previously inaccessible by legacy systems.

MAGnet Auctions introduced an AI agent that automates the quality assurance process for vehicle entry. This agent detects and processes odometer images, comparing values with those in the database. The automation cut down the volume of manual photo reviews by over 90 per cent, lowering costs and permitting staff redeployment toward higher-value tasks.

"Our work with OutSystems on Agent Workbench is a significant step in our AI strategy. We're expanding the use of AI capabilities within OutSystems to realize immediate gains, without needing to invest in specialized AI roles. With Agent Workbench, we can quickly and safely create agents for specific use cases, such as analyzing error logs and automating data entry from documents. By creating and embedding agents into our operations, we are building a more intelligent and responsive banking ecosystem that is ready for the future of finance," said Kevin Hearn, SVP, Head of Consumer Bank Development, Axos Bank.

Open model ecosystem

OutSystems has designed Agent Workbench to support an open ecosystem. Enterprises can deploy AI agents in various workflows and integrate with leading large language models (LLMs) including Bedrock, Azure OpenAI, Anthropic, Gemini, Cohere, Mistral, Databricks, AI2, IBM watsonx, Vertex AI, and Hugging Face. The system enables the re-use of LLM connections across multiple agents and applications, providing flexibility and control over performance, cost, and latency.

Ready-to-use agents are available for productivity, collaboration, and work management platforms such as Google Calendar, Confluence, Notion, Trello, Asana, Monday.com, and Jira. These agents automate scheduling, summarise updates, track tasks, and perform other routine functions.

Developer enablement

As part of a move to make AI adoption more accessible, OutSystems has certified nearly 1,500 AI developers in using Agent Workbench. The company is continuing its enablement initiatives, encouraging more organisations to scale their use of agentic AI.

"The enterprise AI race isn't won by faster experiments; it's won by building trusted AI-powered systems that scale. With Agent Workbench, enterprises are building an agentic future that connects data, managing the full agent lifecycle, and orchestrating human-AI collaboration to transform how work gets done and deliver unprecedented business value. The early momentum we're seeing proves that enterprises are ready to move beyond experimentation and deploy AI that truly performs at scale," said Woodson Martin, CEO, OutSystems.