View this page in the latest version of Appian. Private AI Share Share via LinkedIn Reddit Email Copy Link Print On This Page Everything You Want to Know about Appian Private AI What is private AI, and how does it work? In this video, Appian Director of Architecture Mark Talbot breaks down the basics of private AI, explains how it functions, and answers common questions from customers. Overview Artificial intelligence (AI) and machine learning (ML) can revolutionize how you do business. But with data as the foundation, AI and ML are exciting prospects that must be carefully planned, implemented, and used: especially if you plan to use AI with proprietary or protected information. This page describes private AI: Appian's approach to protecting your data during model creation, training, and use. You'll find details on private AI's advantages over public AI tools, and how we build features with private AI in mind. With Appian's private AI, we: Never share your data outside of the Appian Cloud compliance boundary. Never train our own models on your data, or share your models with other customers. Ensure data always remains in your control. Enforce content safety through AI Guardrails, which evaluate AI interactions for policy violations at the platform level. Jump to the list of Appian private AI features to get started building secure AI-powered applications. Public AI vs. Private AI Appian wants you to embrace AI knowing that your data is protected during every step of design, implementation, and use. The best and most secure way to integrate AI into your processes is through private AI. Learn more about private AI's advantages over public AI: Private AI Public AI Data sharing Your data is never shared outside of Appian's Cloud compliance boundary. Your data is in the hands of the public AI model owners, and may be used at their discretion. Model training and sharing Your data is only used to train your models and those models are never shared. Your data may be used to train other models, including those for competitors. Data control Your data always remains within your control. Once your data is shared, you can't always know how it will be used or who will see it. Private AI feature matrix Feature Privacy and protection Composer AI-generated plans and objects remain within Appian's security boundaries and are never shared with external parties. AI Agents AI agent configurations and execution results stay within Appian's private AI, ensuring complete data protection. Appian MCP Server MCP connections stay within Appian's security boundaries, and Appian's full security model applies to every tool call. Advanced IDP Tools AI skill Input documents never leave Appian's security boundaries. Prompt builder AI skill Prompt and input text never leave Appian's security boundaries. Generative AI skills Prompt and input text never leave Appian's security boundaries. Document extraction AI skill Build and train your own model using your own sample documents. Custom models are tailor-made for your business to provide higher accuracy. Document classification AI skill Build and train your own model using your own sample documents. Custom models are tailor-made for your business to provide higher accuracy. Email classification AI skill Build and train your own model using your own sample emails. Custom models are tailor-made for your business to provide higher accuracy. Sentiment analysis This function analyzes text to determine its emotional sentiment and processes data with private AI, ensuring that your information remains protected and compliant with privacy standards. DocCenter Documents and extracted data remain within Appian's security boundaries. AI Copilot for Reports Data queries and AI-generated insights remain within Appian's security boundaries. Process HQ Process data and AI-generated insights remain within Appian's security boundaries. AI Copilot for Data Fabric Data queries and AI-generated responses remain within Appian's security boundaries. Documents Chat Documents and chat interactions remain within Appian's security boundaries. Records Chat Record data and chat interactions remain within Appian's security boundaries. Enterprise Copilot Documents and interactions remain within Appian's security boundaries. Smart Search Search queries and embeddings remain within Appian's security boundaries. a!callLanguageModel All data sent to and received from the language model remains within Appian's security boundaries. Chat field Chat interactions remain within Appian's security boundaries. Process model recommendations Process model data and recommendations remain within Appian's security boundaries. Sample data generation Generated data remains within Appian's security boundaries. Test case generation Application data and generated test cases remain within Appian's security boundaries. Case Management Studio - Data Modeling Copilot Data models and AI suggestions remain within Appian's security boundaries. AI intellectual property and usage Appian is constantly working to improve your experience by developing advanced AI technology. This includes the prompt templates, system instructions, and orchestration logic that power our AI features. Keep the following guidelines in mind regarding Appian AI technology: Ownership and access: All AI configurations, prompt logic, and data structuring methods created by Appian remain our exclusive property. We provide these to you as part of your subscription to help you build and use your applications. Any configurations you create and data you process using Appian AI capabilities remain your property. Confidentiality: We consider our AI methodologies to be confidential. You may access them only through your authorized Appian environment. Proper usage: You should use Appian AI technology only to support your work within Appian. Do not copy, extract, or use our AI instructions to train, fine-tune, or prompt any AI models outside of Appian. Technical integrity: Do not attempt to reverse engineer, disassemble, or determine the source code or development methods of our AI systems. For more information on how we manage your data within these systems, see our Data Privacy documentation. Feedback Was this page helpful? SHARE FEEDBACK Loading...