Nintex launches agentic business orchestration capabilities to scale AI-led automation

Nintex, a provider in agentic business orchestration has launched Nintex Agent Designer and Nintex Orchestration. The new native AI capabilities include a new agentic AI and business orchestration capabilities available to select customers natively in Nintex CE. Together, these solutions help organisations design and orchestrate AI agents alongside people, workflows, and core systems to deliver consistent results on a scale.

According to Arnal Dayaratna, Research Vice President, Software Development at IDC. “Rather than replacing structured processes with fully autonomous systems. Organisations today want platforms that support both deterministic and agentic approaches across a single orchestration framework.”

“A blended approach allows organisations to apply agentic AI where judgment and interpretation add value. At the same time, maintaining conditional workflow control where precision and compliance are required. This ability to coordinate both models within business workflows is a critical requirement for scaling AI adoption.”

As organisations accelerate AI adoption, many are rethinking how it is embedded into day-to-day operations. Nintex’s AI UNLESS report found 64% of business leaders are embedding or consolidating AI into broader automation strategies to create unified platforms that orchestrate people, systems, and AI agents. However, without orchestration, AI initiatives often remain disconnected from workflows, human decision points, and core business systems, limiting business impact. It also creates governance risk.

Organisations now need platforms that support both deterministic and non-deterministic execution patterns. This allows AI agents to operate where judgment is required, while structured controls guide high-stakes transactions. To operationalise this blended model, organisations must build, deploy, and orchestrate agents as part of a governed orchestration design. Not as standalone automation experiments.

Transforming complex monolithic processes

Nintex Orchestration allows builders to transform complex monolithic processes into modular execution phases with dynamic progression between phases. Agent Designer allows builders to embed agents into this phase-based orchestration. To ensure that AI agents, human decision-makers, and business systems operate in a coordinated and governed manner. This blended execution model enables organisations to:

• Apply AI where judgment and interpretation add value.
• Preserve conditional workflow control where precision and compliance are critical.
• Design for 24/7 intelligent execution.
• Establish the foundation for measuring and improving agent performance over time.

“AI for modern business cannot be purely agentic, nor purely deterministic. It must support both,” said Niranjan Vijayaragavan, Chief Product and Technology Officer at Nintex. “Our agentic business orchestration vision is built on enabling deterministic workflows and adaptive agents to operate within the same process framework, alongside human oversight. Organisations can apply AI where judgment adds value while preserving control where precision and compliance matter most.”

Enabling the building of adaptive AI agents

Nintex Agent Designer enables teams to build adaptive AI agents, including supervisor and multi-agent patterns, operating directly within orchestrated workflows.

These agents can:

• Plan and execute multi-step actions.
• Retrieve contextual information to inform decisions.
• Escalate to humans when deterministic control is required.

Nintex Orchestration enables dynamic case-based process execution that evolves over time. Replacing rigid, linear flows, orchestration supports modular workflow phases that can advance, repeat, escalate, or reroute based on real-time context.

This design allows organisations to:

• Support both deterministic rules-based processing and probabilistic, agent-driven decision support.
• Use enterprise tools and automation components such as RPA, document processing, and system connectors.
• Maintain full visibility across long-running process lifecycles.
• Scale complex operations without sacrificing control.
• Manage exceptions as a natural part of execution.

By supporting multiple orchestration design patterns, including adaptive case management, organisations can structure work in a way that reflects how real business processes unfold. By embedding agents inside governed orchestration, rather than deploying them as standalone tools, organisations can balance autonomy with oversight, ensuring AI-driven actions align with business rules, compliance requirements, and operational goals.

Supporting various orchestration patterns, including adaptive case management, allows organisations to structure work as actual business processes occur. The solution embeds agents within managed orchestration to help maintain oversight while granting autonomy. This ensures AI actions comply with business rules and operational goals.

Enterprise Times: What this means for businesses.

Nintex’s new native AI capabilities sound like a real evolution in the world of workflow automation. Integrating intelligence with governance in a new, innovative way. Instead of eliminating well-established structured processes, it is evolving them to fully autonomous systems. Enterprises increasingly want platforms that integrate both deterministic and agentic methods within a unified orchestration framework. This is expected to enable enterprises to build and orchestrate AI agents alongside people, workflows, and systems. As a result, Nintex is enabling organisations to introduce advanced AI-driven automation into their existing environment. However, the key will be trust. The company says that its solutions maintain the oversight and trust that users expect from agentic AI systems.

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