AI in Appian includes AI agents that autonomously make decisions and take action, AI chatbots that find and analyze data with natural language prompts, and AI application generation and developer tools that help build your applications. 

What’s really unique about Appian AI is that it delivers real value—something that other vendors haven’t figured out how to do. We do this by embedding AI into your critical business processes. That’s the key to unlocking AI’s full potential.

Process is where business happens. It’s where companies make decisions, serve customers, and scale business operations. And it’s where AI can have the most impact. When AI operates within a process, it gains purpose, governance, data, and accountability—all essential to delivering value from AI. Process gives AI agents the framework to deliver more value. And the more value AI delivers, the better your processes become.

AI in Appian is also secure and enterprise grade. Our private AI approach means we never train our models  on your data, and your data is never shared outside your organization’s compliance boundary.

Appian AI is part of a unified, process automation platform. Because it’s built-in, rather than bolted-on, you can add it directly into a process with simple drag-and drop tools—making it part of the workflow rather than a separate system. 

Appian AI can analyze data, make decisions, take actions, and provide recommendations. Chat and AI assistants help users take faster, smarter actions without leaving an interface. And agents can be embedded in workflows to automate complex, multi-step tasks. 

Appian AI works in three main ways:

• Decision support. AI can suggest next steps, prioritize tasks, or flag exceptions, helping employees make data-driven decisions while the process runs.
  

• Data-driven insights. Embedded AI can forecast outcomes, detect patterns, or identify potential risks.
  

• Automation of repetitive tasks. Appian AI can handle routine work like data classification, document processing, or rule-based approvals, reducing manual effort.
  

• Automation of complex work. Appian AI agents can automate complex work based on context, data, and prior outcomes—without human input. If a problem arises, the agent can adapt in real time using complex reasoning to adjust its course. 

By embedding AI directly into workflows, AI in Appian ensures that automation, intelligence, and human decision-making work together seamlessly, all within a single, AI-powered platform.

Appian AI features let organizations embed intelligence directly into processes and applications. The Appian Platform combines workflow automation with AI, giving teams the power to act faster, reduce errors, and improve outcomes. Key Appian AI capabilities include:

• Agent Studio: A guided experience for building, managing, and governing AI agents in your processes to automate complex, multi-step work.  
  
  

• AI Skills: AI automation for defined work like classifying, extracting, and summarizing.
  
  

• AI Copilot: A natural language AI assistant that finds information buried in documents, answers questions directly within applications, summarizes results, generates insights, and suggests actions.
  
  

• Composer: An AI application generation tool that lets business users create fully functional apps using natural language prompts and requirement documents.
  
  

• AI Document Center: Enterprise-grade intelligent document processing with generative AI. Extract data from any type of document with high accuracy, securely, and at scale.

Organizations use AI in Appian to streamline processes, enhance decision-making, and accelerate digital transformation on a single process automation platform.

Organizations realize the greatest value from AI when it’s not treated as a standalone personal productivity tool or one-off experiment but embedded directly into business processes. Appian AI delivers measurable outcomes across industries by acting as a digital coworker that streamlines operations, improves decision-making, and scales capacity.

In healthcare, the Appian AI-powered platform reduces administrative burden so providers can get patients they care they need faster. For example, Acclaim Autism automated patient onboarding with Appian AI agents that extract diagnosis details from unstructured documents with 95% accuracy. The result: patient wait times dropped by 83%, giving children faster access to treatment while maintaining HIPAA compliance.

In insurance, AI accelerates underwriting and claims by processing millions of pages of medical data quickly and accurately. Canada Life used Appian’s generative AI for intelligent document processing to cut medical review time by 75% and improve accuracy to 98%, freeing thousands of staff hours for higher-value work.

In the public sector, agencies gain speed and compliance. The Texas Department of Public Safety created a private AI knowledge system trained only on internal policy. Staff now receive accurate procurement answers in seconds—with zero risk of data leakage.

In financial services, AI supports scale without adding headcount. Towerbank reduced customer onboarding from two weeks to just 20 minutes, preparing the bank to handle 3–5x account growth tied to a new crypto wallet app launch.

Across industries, the outcomes are consistent: faster decisions, more efficient operations, and stronger customer experiences. By embedding AI in their core business processes—rather than deploying siloed tools—organizations gain lasting ROI, operational resilience, and the freedom for employees to focus on innovation and customer value.

Unlike large providers that use your data to hone their algorithms, Appian AI never exposes your data outside your organization. Appian private AI keeps your data within your organization’s compliance boundary. Appian doesn’t share data with third parties or train algorithms on your data.

Plus, all data is encrypted via your private key and backed with the strong security and certifications of Appian Protect.

In the context of Appian AI, governance refers to the oversight, guardrails, and accountability that ensure AI operates safely, transparently, and in compliance with business and regulatory requirements. Governance is essential because AI should never function as a “black box.” Instead, it must act as a controlled, auditable digital coworker within business processes.

Appian provides several governance controls over AI actions:

• Private AI deployment. AI runs in a secure, isolated environment, ensuring sensitive data never leaks to public models.
  

• Permissions management. Appian AI applies user permissions to make sure AI agents only access and share data with the right people in the right context. Appian data fabric simplifies permissions: Once they’re set on a record, connected systems inherit the permissions, ensuring consistent access controls across the enterprise down to the row level.
  

• Business rules and policies. AI outputs can be constrained by organizational policies, thresholds, and escalation paths.
  

• Traceability. AI in Appian is fully traceable, showing when and why decisions were made, what data was used, and how those actions impact compliance, accuracy, and business outcomes like efficiency and ROI.
  

• Human-in-the-loop oversight. Users can review, validate, or override AI recommendations before action is taken.
  

• Audit trails. Every AI-driven action is logged, providing transparency and accountability for compliance audits.
  

• Performance dashboards. Monitor AI effectiveness, accuracy, and ROI over time with Appian’s native process intelligence capabilities.

With these controls, organizations can safely embed AI in their Appian-run processes, confident that automation and intelligence are operating under enterprise rules, data governance, and compliance frameworks. The result is an AI-powered enterprise that drives efficiency and innovation—without sacrificing trust or accountability.

Learn more in the blog, 5 Principles for Building Safe, Effective Enterprise AI Systems.

Learn more about Appian AI in these demo videos and learning resources:

• Documentation: Appian Artificial Intelligence. Learn how Appian AI can supercharge your automation practice.

• Community: Take the Appian AI course or explore learning resources on the Appian Community AI playlist on YouTube.

• Demo: AI in Appian. Optimize every process with Appian AI to drive speed, accuracy, and smarter decisions.

• Demo: Artificial intelligence. Power your processes with AI agents and copilots on the Appian Platform.

• Demo: AI Document Center. Build and deploy AI agents to classify and extract data from any document and plug it directly into your business processes.

• Datasheet: Appian AI Overview. Discover how Appian drives real AI value by embedding AI into processes, and explore the platform’s most powerful AI features.

• Guide: Bringing AI to Work. Explore the benefits of embedding AI into your processes.

Successful AI adoption requires not just deploying models but continuously measuring their accuracy, effectiveness, and business impact. On the Appian Platform, organizations gain full visibility into how AI performs inside their processes, ensuring decisions remain transparent, explainable, and tied to measurable outcomes.

Monitoring and analytics in Appian AI include:

• Performance dashboards. Track accuracy, speed, and outcomes of AI actions in real time.
  

• Audit trails. Every AI recommendation and decision is logged, providing traceability for compliance and accountability.
  

• ROI measurement. Leaders can quantify time saved, error reduction, and efficiency gains—for example, hours of manual review eliminated or cycle times reduced.
  

• Business impact analytics. Tie AI performance directly to KPIs such as reduced customer wait times, faster onboarding, improved compliance rates, or higher throughput.
  

• Model effectiveness reviews. Monitor confidence levels, exceptions, and overrides to refine AI models over time.

By embedding AI in Appian workflows, organizations don’t just get automation—they get measurable insights into how AI is contributing to business value. This governance-first approach ensures AI investments deliver sustainable ROI while maintaining transparency and trust.