The Rise of Enterprise Agentic AI Platforms: Why OutSystems Agent Workbench Is a Strategic Buy

The global agentic AI market is surging toward a transformative inflection point. According to a report by Boston Consulting Group, the market size was valued at USD 5.99 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 42.80%, reaching USD 88.35 billion by 2032. This exponential growth is driven by enterprises seeking to automate knowledge work, reduce operational costs, and unlock real-time decision-making capabilities. At the heart of this revolution lies a critical question: Which platforms are best positioned to deliver scalable, secure, and ROI-driven agentic AI solutions? The answer, increasingly, points to OutSystems Agent Workbench.

Strategic Adoption of Agentic AI: A Market Imperative

Enterprises are no longer experimenting with AI; they are deploying it at scale. Nearly 80% of businesses are expected to adopt agentic AI by 2025, with 93% already developing or planning custom AI agents. The technology's ability to automate complex, multi-step tasks-such as customer service triage, financial analysis, and quality assurance-has made it indispensable. For instance, AI agents can reduce low-value work time by 25% to 40% and accelerate business processes by 30% to 50% in sectors like finance and procurement.

This shift is underpinned by advancements in computing power and AI-optimized chips, which have enabled agents to operate 24/7, handle data spikes, and minimize human error. However, the true value of agentic AI lies in its integration into existing workflows without requiring costly system rearchitecting-a challenge where OutSystems Agent Workbench excels.

OutSystems Agent Workbench: A Platform for Enterprise-Grade AI

OutSystems Agent Workbench has emerged as a leader in the agentic AI space, combining low-code development with enterprise-grade governance. As of November 2025, the platform has facilitated the creation of over 5,500 AI agents, supported by 1,500 certified developers. Its open ecosystem allows seamless integration with major large language models (LLMs), including Azure OpenAI, Anthropic, and Hugging Face, offering enterprises flexibility in model selection.

The platform's strategic differentiation lies in its ability to embed AI agents into core enterprise systems-CRM, ERP, HR-without disrupting existing workflows. For example, Axos Bank deployed an intelligent log analysis agent using OutSystems, reducing manual data entry errors and improving accuracy. Similarly, MAGnet Auctions automated its vehicle entry quality assurance process, achieving a 90% reduction in photographs requiring manual review. These case studies underscore the platform's capacity to deliver measurable efficiency gains.

ROI-Driven Outcomes: From Productivity to Scalability

The financial returns from OutSystems Agent Workbench adoption are compelling. Grihum Finance, for instance, accelerated customer onboarding by 70% using an AI agent to identify technical issues during loan origination. TravelEssence automated content translation and itinerary summarization, freeing employees to focus on revenue-generating tasks. Beyond these examples, enterprises report broader benefits: improved developer productivity, enhanced software quality, and accelerated digital transformation.

A key driver of ROI is the platform's governance framework, which ensures compliance and accountability while enabling rapid deployment. As noted in a 2025 Gartner® Magic Quadrant™ report, OutSystems has maintained its leadership in low-code application platforms for nine consecutive years, a testament to its execution and vision in agentic AI. This track record positions it ahead of competitors like Cognitivescale and H2O.ai, which emphasize AI governance and open-source collaboration but lack the same level of enterprise adoption metrics.

Competitive Positioning and Future Outlook

While the agentic AI market is crowded, OutSystems' focus on human-AI collaboration and rapid deployment gives it a unique edge. Its support for multiple LLMs and low-code development aligns with the growing demand for scalable, secure solutions. Moreover, the platform's ability to reduce operational costs-by automating routine tasks and improving testing efficiency-resonates with CFOs and CTOs alike.

As the market matures, enterprises will prioritize platforms that balance innovation with governance. OutSystems Agent Workbench's combination of technical agility, proven ROI, and strategic partnerships with cloud providers like Microsoft and AWS positions it as a long-term winner. With the agentic AI market set to expand nearly 15-fold by 2032, investing in OutSystems is not just a bet on AI-it's a bet on the future of enterprise efficiency.