TLDR: Nintex has unveiled new agentic AI features as part of its ‘Agentic Business Orchestration’ strategy, aiming to significantly advance business automation. These enhancements on the Nintex CE platform include six new AI actions for document processing and a forthcoming ‘Agent Designer’ for building enterprise-grade AI agents. The strategy focuses on unifying people, systems, and AI agents within a governed framework to deliver measurable business outcomes, addressing challenges like software sprawl and disconnected AI pilots.
Nintex, a global leader in process automation and application development, has announced a significant leap forward in business automation with the introduction of new agentic artificial intelligence (AI) capabilities. This initiative, central to its ‘Agentic Business Orchestration’ strategy, is designed to enhance intelligent processes, business orchestration, and the development of purpose-built solutions on its unified Nintex CE platform.
The Nintex CE platform is engineered to bridge the gap between legacy systems, manual processes, and AI agents, fundamentally transforming how organizations achieve strategic business outcomes. Within this framework, intelligent agents are empowered to dynamically manage workflows, assign tasks, and adapt processes while adhering to organizational governance.
Key enhancements include six new AI actions specifically tailored for document processing. These actions complement existing generative AI features such as the AI Process Generator and AI Workflow Generator. A forthcoming ‘Agent Designer’ feature will further empower users to build and orchestrate enterprise-grade AI agents, either from scratch or by customizing templates. This low-code environment is designed to integrate agents into core business systems and incorporate third-party agents, all while maintaining strict governance and compliance.
Maureen Fleming, Programme Vice President for Intelligent Process Automation research at IDC, highlighted the broader industry impact, stating, “Agentic approaches are reshaping how enterprises think about automation, extending business orchestration beyond tasks and processes to focus on business outcomes. Agentic business orchestration represents a shift toward coordinating people, systems, and AI agents in governed ways that ensure automation and AI deliver measurable results at scale.”
Amit Mathradas, Chief Executive Officer of Nintex, emphasized the strategic shift: “For centuries, automation has advanced in waves – from windmills and looms to digital assistants and RPA. Each chapter raised the bar, but most advances focused on isolated tasks. Today, organizations need more. The next era isn’t just about automating what’s in front of us: it’s about orchestrating across people, systems, and AI agents to deliver outcomes at scale. That’s what agentic business orchestration makes possible. By unifying process intelligence, agentic workflow orchestration, and AI-driven solution building in one governed platform, Nintex is helping organizations move beyond the clutter of software sprawl and the risks of disconnected AI pilots into a future where every process is purposeful, adaptive, and outcome-driven.”
Niranjan Vijayaragavan, Chief Product and Technology Officer at Nintex, underscored the importance of governance and auditability: “AI is rapidly removing barriers for organizations to innovate, automate, and reimagine their business operations, allowing them to reduce software footprint, drive material process efficiencies, and accelerate data-driven decisioning. Organizations need governance and auditability around agentic solutions that are being built. We architected Nintex CE so every process, decision, and action, whether manual or automated, flows seamlessly from trigger to outcome enabling compliance, auditability, security, and oversight for our customers.”
The newly introduced AI Document Processing capability is particularly impactful for sectors with high document intake, such as financial services, government, healthcare, and manufacturing. This feature enables organizations to interpret and act on documents and images more efficiently within orchestrated workflows. Specific native AI actions include text extraction, language detection, real-time translation, summarization of lengthy documents, sentiment analysis, and structured information extraction. These are designed to reduce manual review, unlock insights from unstructured data, and enhance decision-making processes.
Kyle Seitz, President of SNAP Consulting, commented on its potential in healthcare: “Nintex AI Document Processing has huge potential across healthcare, where unstructured documents pour in from multiple sources in all kinds of formats. Extracting key chart details from scanned PDFs has always been a slow, manual process, but this technology can streamline it dramatically. By automating data extraction across varied file types, it promises to save overworked teams hours of sifting and let them focus on member care.”
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These new features are poised to help organizations accelerate business processes, bolster compliance efforts, and effectively manage operational risks in an environment characterized by increasing volumes of unstructured data and a growing demand for oversight in AI-driven automation.
