Orchestrate AI agents across Microsoft 365 with control and confidence
Ask questions, access enablement content, and other useful resources to help maximize your use of Nintex Agent Designer.
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Hello Agent Designer Beta users! 👋 The Customer Enablement team is excited to announce the release of a new course designed to help you get started with Nintex Agent Designer. If you’re already a learner on Nintex University, click the link below to enroll and begin your learning journey:Introduction to Agents  New to Nintex University?If you don’t yet have access, you can sign up to explore and enroll in courses that guide you through these capabilities step by step: https://learn.nintex.com/  Additional ResourcesYou can also explore our help documentation for more detailed guidance and step-by-step instructions.  What is Nintex Agent Designer?Nintex Agent Designer is a capability within Nintex CE that allows organizations to design and deploy AI agents that operate within business workflows. These agents can plan and execute multi-step tasks, reduce time-to-development, re-usable, use enterprise tools and automation components, retrieve contextual information, and escalate decisions
Hello Nintex Community! 👋We’re excited to introduce this dedicated space where we’ll be sharing more about Nintex Agent Designer (Beta).Our Customer Enablement team has been working on a range of resources to help you learn about this powerful new capability and start building with confidence.Be sure to subscribe to this section to receive notifications whenever we publish new content, updates, and learning materials designed to help you get up to speed. 💡 If you don’t yet have access to Nintex University, be sure to sign up to access and enroll in courses that walk you through this capability step by step: https://learn.nintex.com/ We’re looking forward to supporting you as you explore and build with Nintex Agent Designer!
A question that keeps coming up: when do I use an agent versus a workflow?It's exactly where most teams get tripped up when adopting AI. Here's a clean mental model and some practical guidance you can actually use.Summary: Use agents to interpret and choose. Use workflows to execute. Use both together for scale and safety. The Core Distinction Agent Workflow Role Interprets, reasons, decides Executes, routes, enforces Best for Ambiguity, judgment, adaptation Precision, repeatability, governance Output A choice or recommendation A deterministic action  When to Use an AgentUse agent tools when human-like judgment, adaptation, decisioning or choosing can be a solution without needing a human in the loop and/or less effort to build.Signals:The path forward isn't known in advance Inputs are unstructured (emails, documents, messages) Decisions depend on nuance or context Multiple valid next steps exist The
You are invited to join the weekly Agent and Orchestration Office Hours session focused on learning how to design, build, and operationalize AI agents.When? Weekly - Tuesdays 3:00 PM CT (Americas) / Wednesdays 8:00 AM AEDT (APAC)Where? Teams call: Join here!Each session will walk through a specific topic with a short demo and practical guidance you can apply immediately, such as:Build AI agents and understand when to use agents vs. simple actions Embed agents into workflows and orchestrations Design multi-agent solutions and master agents Connect agents to knowledge sources, tools, and external systems Implement guardrails, testing strategies, and human-in-the-loop patterns Deploy agents safely and monitor performance in productionThe office hours are designed to be interactive. Bring your questions, ideas, or scenarios you’d like help with.
As you start building your Nintex AI agents, the first step is knowing where to configure and manage them. All agent setup happens in Nintex Agent Designer, a dedicated experience where you define how your agent thinks, behaves, and interacts with tools and data. For more details and instructions use any of the following resources:Nintex HelpConfigure an Agent blog (by Andy Hayes)
AI is on everyone’s radar; the question is knowing where to start? The good news, you don’t need a massive overhaul to begin benefiting from AI. In fact, most companies find success by identifying just one clear use case and running a small instance or project. This introductory blog post – the first in our series on building AI agents for business applications – lays out practical best practices for getting started. We’ll explore why it’s smart to start with small, simple projects (think five steps or fewer), how to focus on straightforward, deterministic tasks for quick wins, and which high-impact, low-complexity use cases (like document processing, translation, or sentiment analysis) are perfect for early AI successes. Finally, we’ll discuss the importance of beginning at the department level and making AI a natural part of your design process. By focusing on clear, actionable steps and avoiding unnecessary complexity, you can dip your toes into AI confidently and set the stage for
Runtime AI brings AI-powered capabilities directly into the execution of a Nintex Workflow or App. Unlike design-time AI, which assists with building workflows, Runtime AI enhances how your live workflows operate by analyzing content, generating summaries, detecting entities, and making light, context-aware decisions as the workflow runs. Runtime AI Actions are lightweight, single-step automations that use large language models (LLMs) such as GPT and services like Azure Document Intelligence to perform specific content generation or analysis tasks. They are easy to configure and fit naturally into workflow execution, allowing you to add intelligence without complexity. All actions are delivered through the Runtime AI Platform Service and are accessible via API for integration across Nintex products. In this release, there are 11 out-of-the-box actions available in Nintex Workflow. VideosAnalyze sentiment Detect language Extract information from document or image Extract text from docum
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