Set Up Appian AI for Appian on Kubernetes

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Overview

Appian AI features are available for self-managed environments using Appian on Kubernetes. In order to use these features, system administrators need to set up and configure these services to work with Appian on Kubernetes.

During setup, we guide you through the process of creating and configuring Appian on Kubernetes to be able to use AI features. To do this, customers must use Amazon Web Services (AWS) infrastructure.

Features included

After you successfully complete setup, your environment has access to the following AI features. Features marked with an asterisk (*) use generative AI.

Feature	Description
Composer^*	Use AI to plan and build applications by describing what you want in natural language and letting Composer generate a development plan and the application components to match.
Sample data generation^*	Generate sample data for testing and development.
Test case generation^*	Generate test cases for your Appian applications using AI.
Advanced IDP Tools AI skill	Extract data from lengthy and complex documents with tables that span multiple pages, contain nested tables, or other complicated formatting.
Prompt builder AI skill^*	Create a prompt to send to generative AI models.
Generative AI skills^*	Generative AI skills provide pre-populated templates to help automate common tasks.
Document extraction AI skill	Use AI to extract data from documents.
Document classification AI skill	Use AI to identify a document's type based on certain traits.
Email classification AI skill	Use AI to classify emails based on content and context.
Sentiment analysis	Analyze text to determine its emotional sentiment.
DocCenter^*	AI-powered document processing solution that combines advanced document extraction with generative AI capabilities.
Process HQ^*	AI-powered insights into your business processes, including suggested KPIs, views, ad hoc event detection, and insight summaries.
AI Copilot for Reports^*	AI Copilot helps business users gain insights from their data by generating reports and visualizations.
AI Copilot for Data Fabric^*	Chat with your enterprise data to uncover new information, understand trends, and create reports.
Documents Chat^*	Chat with your documents to find information and get answers.
Records Chat^*	Chat with your records to explore data and get AI-powered answers.
Enterprise Copilot^*	AI-powered assistant that helps business users work with enterprise documents and data.
Smart Search	Semantic search powered by AI embeddings for more relevant search results.
PDF to Interface^*	Generate an Appian interface from a PDF document.
a!callLanguageModel^*	Call a language model directly from your Appian expressions to power chat interfaces, automate content generation, and process AI responses in workflows.
Chat field^*	Add a conversational AI chat interface to your Appian applications so end users can interact with language models directly.
Process model recommendations	Get AI-powered recommendations for improving your process models.

Tip: Appian 25.3 or later is required to use AI features in a self-managed environment using Kubernetes.

The availability of each AI feature is subject to the feature's supported capability tiers and regional availability.

Software and experience requirements

Note: AWS infrastructure is required to be able to use Appian AI features in self-managed environments. No other infrastructure is supported at this time.

Appian: Customers must be using Appian on Kubernetes to gain access to AI features in a self-managed Appian environment. Further, the Appian platform version must be 25.3 or higher.
Appian Operator: Most recently released version.
Kubernetes: v1.29 or higher.
AWS infrastructure, including Amazon EKS cluster
Experience with KEDA
Experience with Knative infrastructure
Experience with Helm

Get started

To get started using Appian AI services on Kubernetes, install Appian on Kubernetes if you haven't already.

Visit Appian Forum to access key installation resources, including documentation on how to set up AI services for Appian on Kubernetes using AWS infrastructure. The guide includes:

comprehensive software, infrastructure, and tool prerequisites.
important disclaimers and best practices. The sample Terraform files are for demonstration and customers are responsible for their environments, including data backups.
definitions of core concepts, such as IAM Roles for Service Accounts (IRSA) and chained role assumption.
guidance for configuring kubectl, setting up resources with example Terraform files, configuring IAM permissions for pods, and deploying Helm charts.
a section for testing the connections to ensure users will have access to multiple AI features.

Tip: To download the full installation guide, visit Appian Forum:

From the SUPPORT tab, click DOWNLOADS.
Click PLATFORM > LOW-CODE PLATFORM.
Select Appian 26.3.
Under Downloads, you'll find Setup AI for Appian on Kubernetes Using AWS infrastructure and a Terraform sample.

Disable Anthropic models

If your organization must stop using Anthropic models to meet regulatory or organizational requirements, you can disable them at the site level. Generative AI features then use another model provider instead.

To disable Anthropic models, you set a custom property in the Appian CR configuration file and prepare your environment so that generative AI features keep working. For the property and the full steps, see the Disable Anthropic models section of Post-Install Configurations.

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