Nintex has unveiled two innovative tools aimed at integrating artificial intelligence (AI) agents into business workflows, addressing the growing demand for organizations to adopt AI in a controlled manner. The launch, which introduced the Nintex Agent Designer and Nintex Orchestration, is part of a broader initiative to connect AI capabilities with existing governance frameworks, ensuring compliance and oversight in operational processes.
Available natively in Nintex CE to a select group of customers, these tools cater to businesses exploring agent-based automation yet facing challenges in linking it with their daily processes and governance standards. As organizations accelerate their evaluation of AI agents capable of interpreting information and executing tasks, many have recognized the risks associated with isolated deployments that operate outside established process controls, approval mechanisms, and audit trails.
Nintex aims to bridge the gap between AI agents and rules-based workflow logic, ensuring human decision points remain visible while applying structured controls as necessary. This integration is designed to combine deterministic automation—rooted in established rules and structured workflows—with non-deterministic AI behaviors that leverage contextual understanding and information retrieval.
According to Arnal Dayaratna, Research Vice President at IDC, buyer expectations are evolving. “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,” he stated. Dayaratna emphasized that this blended model not only supports governance and operational requirements but also enables organizations to apply AI where judgment is beneficial while maintaining control over high-risk steps.
Nintex Orchestration introduces a phase-based execution model, allowing organizations to dissect large end-to-end processes into modular phases that can dynamically adapt based on contextual factors. This flexibility includes the ability to repeat, escalate, or reroute workflow phases, enhancing operational agility. Meanwhile, Agent Designer facilitates the embedding of AI agents into these phases, ensuring coordinated interactions among agents, personnel, and core systems within the same operational framework.
The dual tools are framed as a means to harness AI where managerial interpretation and judgment are crucial while preserving conditional controls in situations requiring precision and compliance. Nintex highlights the importance of visibility in lengthy processes that may involve multiple teams, systems, and decision points over extended periods, sometimes lasting days or weeks.
Agent Designer is equipped to support adaptive AI agents and includes patterns for supervisors and multi-agent collaboration. The company notes that these agents can execute multi-step actions, gather contextual information to shape decisions, and escalate issues to human operators when deterministic oversight is necessary. Additionally, Orchestration accommodates various automation components, including robotic process automation (RPA), document processing, and system connectors, allowing organizations to integrate AI agents with their existing automation tools rather than replacing them.
One of the critical challenges operations leaders face is exception handling. Agent-based systems can introduce variability, especially when inputs are incomplete or when decisions require adherence to policies, risk appetite, or regulatory frameworks. Nintex’s phase-based approach treats exceptions as an inherent aspect of execution, managing them within the larger process lifecycle.
Niranjan Vijayaragavan, Nintex’s Chief Product and Technology Officer, positioned the launch as a means to marry autonomy with control in a single design environment. “AI for modern business cannot be purely agentic, nor purely deterministic; it must support both,” he asserted. Vijayaragavan linked this perspective to the necessity of oversight and compliance in operations, underscoring that their agentic business orchestration vision aims to enable both deterministic workflows and adaptive agents to function effectively within the same process framework.
Supporting this vision, Nintex cited findings from its AI UNLESS report, revealing that 64 percent of business leaders are actively embedding or consolidating AI into broader automation strategies to create unified platforms orchestrating personnel, systems, and AI agents. The company posits that as AI transitions from isolated experiments to core operational processes, the importance of orchestration increases, particularly given the stringent governance requirements and system integration challenges faced by organizations.
Nintex’s partner AiGS – Ai Global Solutions lauded the release, describing it as a transformative moment in how workflow automation products incorporate AI. Kevin Schall, CEO of AiGS, remarked, “This is a game-changer. Nintex Agent Designer represents the future of workflow automation, combining intelligence with governance in a powerful new way.” He noted that features like supervisor agents enable organizations to implement advanced AI-driven automation while maintaining the oversight and trust that users expect from these systems.
Agent Designer and Orchestration are currently in beta testing with select Nintex CE customers, with a broader rollout anticipated as testing progresses.
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