Nonlinear Agent
Spect AI에 의해
Chat with Nonlinear Agent Bot inside Microsoft Teams.
Nonlinear Agent for Microsoft Teams
Transform your Teams experience with Nonlinear Agent, the intelligent workflow assistant that brings secure AI-driven automation directly into your team conversations.With Nonlinear Agent, you can upload PDF files, request proposals, summarize documents, and execute complex workflows, all without leaving Teams. Our internal AI engine automatically identifies the correct workflow based on your request and returns the processed results directly in chat.
How it Works
Install the Nonlinear Agent app in Microsoft Teams. Send a message such as “Run this RFP” or “Summarize this PDF document.” The bot routes your request to the Nonlinear Agent platform and returns results to the same chat thread. Outputs appear instantly in text or downloadable format.
Requirements & Limitations
Account Required: To use this app, an active Nonlinear Agent account is required. Companies can book a demo or request access via https://www.nonlinear.build.
Supported Users: Designed for organizational Microsoft Teams tenants.
Data Handling: Uploaded files are securely processed within the Nonlinear Agent infrastructure at app.nonlinear.build; generated outputs are returned to the chat.
Billing: The bot is free to install. Advanced workflow execution requires an active Nonlinear
Restrictions: Only PDF documents are accepted for upload and processing.
Mobile: We currently only support IOS mobile apps with limited Android features.
File attachments work only on desktop/Web Teams, iOS device but not on Android
AI Functionality Disclosure
Nonlinear Agent uses advanced artificial intelligence (AI) models to interpret user queries, analyze uploaded documents, and automatically execute the most relevant workflows. The AI system identifies the user’s intent and processes files such as RFPs, proposals, or reports to generate structured responses, summaries, and recommendations directly within Microsoft Teams. All AI responses are generated dynamically based on the user’s input, with the goal of improving workflow automation and efficiency.
If you encounter any incorrect or objectionable AI-generated content, or have questions about how AI is used in this app, and for help, demos, or access requests, visit https://www.nonlinear.build or contact sheel@nonlinear.build.please contact our team at sheel@nonlinear.build.
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