Nintex Bridges AI Autonomy and Enterprise Control with New Platform

BELLEVUE, WA – March 17, 2026 – As enterprises race to harness the power of artificial intelligence, a critical question has emerged: how can autonomous AI be deployed without sacrificing control, compliance, and governance? Global business orchestration leader Nintex today offered its answer, unveiling a new suite of capabilities designed to safely integrate intelligent AI agents into the core of enterprise operations.

The company announced the launch of Nintex Agent Designer and Nintex Orchestration, two new features within its Nintex CE platform. Available to select customers, these tools provide a framework for designing, deploying, and managing AI agents alongside human employees and existing systems. The move signals a strategic push to solve one of the most pressing challenges of the AI era: moving artificial intelligence from isolated, experimental pilots to a governed, scalable, and integral part of the business.

The Blended Future of Automation

At the heart of the announcement is a concept Nintex calls “agentic business orchestration.” This approach champions a blended execution model that supports both traditional, rule-based automation and the more dynamic, judgment-based actions of AI agents within a single, unified framework.

Enterprise processes are rarely uniform. Some, like financial transactions, require strict, predictable steps—what the industry calls deterministic execution. Others, like handling a complex customer complaint or analyzing unstructured market data, benefit from interpretation and adaptability, the hallmarks of non-deterministic, agentic AI.

Historically, these two models have lived in separate worlds, creating silos and complexity. Nintex’s new platform aims to tear down those walls. “Rather than replacing structured processes with fully autonomous systems, organizations today want platforms that support both deterministic and agentic approaches across a single orchestration framework,” said Arnal Dayaratna, Research Vice President for Software Development at IDC, in a statement accompanying the release. “This ability to coordinate both models within business workflows is a critical requirement for scaling AI adoption.”

This blended approach allows businesses to apply AI where it adds the most value—in tasks requiring judgment—while maintaining rigid, conditional control where precision and compliance are non-negotiable.

From Pilot Project to Production Powerhouse

The announcement directly confronts a common pain point for modern businesses. According to Nintex’s own AI UNLESS report, 64% of business leaders are already working to embed AI into broader automation strategies. Yet without a unifying orchestration layer, these AI initiatives often remain disconnected from core workflows and human decision points, limiting their impact and introducing significant governance risks.

Nintex Orchestration is designed to tackle this by transforming rigid, linear processes into modular, dynamic phases. This allows workflows to advance, repeat, or escalate based on real-time context, mirroring how complex business operations actually unfold. Into this framework, Nintex Agent Designer allows teams to build and embed adaptive AI agents. These agents can perform multi-step actions, retrieve contextual information to inform decisions, and, crucially, escalate to human operators when a situation requires deterministic control or nuanced oversight.

This creates a governed environment where AI is not a rogue element but a managed component of a larger business process. By embedding agents within this structure, organizations can establish a foundation for measuring and improving agent performance over time, ensuring that AI-driven actions consistently align with business rules and operational goals.

Navigating the Agentic AI Arms Race

Nintex’s launch comes at a pivotal moment for enterprise AI. The market is rapidly shifting from task-specific AI features to integrated systems of autonomous agents. Market intelligence firm IDC forecasts a staggering 1.3 billion AI agents will be in use by 2028, while Gartner predicts that 40% of enterprise applications will feature task-specific AI agents by 2026.

This explosive growth has ignited an arms race among major technology vendors. Automation giants like UiPath and Microsoft, along with enterprise software leaders like Salesforce and ServiceNow, are all heavily investing in their own agentic AI capabilities. The competitive landscape is quickly becoming defined not by who has the smartest AI, but by who provides the most robust platform for orchestrating it.

Nintex is positioning its unified, low-code platform as a key differentiator. By providing a single environment for process intelligence, workflow design, and agent management, the company aims to offer a level of control and auditability that is essential for mission-critical operations. The focus is on providing a practical pathway for enterprises to adopt advanced AI without building a chaotic and unmanageable web of disconnected tools.

Orchestrating the Human-AI Workforce

Beyond the technological innovation, the new platform speaks to the evolving future of work. The design philosophy is not one of replacement, but of collaboration. The ability for AI agents to escalate to human decision-makers, and for humans to oversee agent-led processes, is a core feature. This “human-in-the-loop” model ensures that human expertise and judgment remain central to critical business processes.

The platform supports advanced concepts like “supervisor agents,” which can manage teams of other AI agents, creating a new layer of automated governance. This structure is designed to foster a collaborative ecosystem where AI handles repetitive, data-intensive work, freeing up human employees to focus on strategic oversight, exception handling, and high-value decision-making.

This vision of a human-AI symphony is resonating with early partners. “This is a game-changer. Nintex Agent Designer represents the future of workflow automation, combining intelligence with governance in a powerful new way,” commented Kevin Schall, CEO of AiGS – Ai Global Solutions. “With capabilities such as supervisor agents, Nintex is enabling organizations to introduce advanced AI-driven automation while maintaining the oversight and trust that users expect from agentic AI systems.”

As businesses move beyond the initial hype of generative AI, the focus is shifting to practical, scalable implementation. The challenge is no longer simply about creating intelligent systems, but about wisely conducting them within the complex orchestra of the modern enterprise. With its focus on governed, blended execution, Nintex is making a strong bid to become the conductor’s podium for the next generation of business automation.