AWS Bedrock
Amazon Bedrock is a fully managed service from Amazon Web Services for accessing and managing foundation models (FMs), the basic building blocks of generative AI.
Integrations and Connectors
AgilePoint NX integrates in these ways with AWS Bedrock:
- Activities in Process Builder
- AI Control Towers
- Access tokens
Activities in Process Builder
You can use out-of-the-box activities for AWS Bedrock to execute actions in process-based apps.
An activity is a functional unit, or task, in a process-based app. Activities that integrate with a third-party system provide access to the API functionality for that system in a simple, point-and-click, form-entry format. This means that you can easily leverage APIs without writing code.

The following activities are available for AWS Bedrock:
- Analyze Image
- Chat Completion
For more information, refer to the process activities for AWS Bedrock in Process Builder.
AI Control Towers
You can use AWS Bedrock AI Control Towers to orchestrate operations within your apps.
An AI Control Tower is a process activity used for robust, secure monitoring that work with predictive AI to improve workflows with dynamic, predictive capabilities. These predictive AI agents enable real-time monitoring, control, and adaptation for process instances, dynamically adjusting them based on AI-driven predictions. AI Control Towers seamlessly handle AI agent integration and orchestration across multiple apps. AI Control Towers also provides centralized, real-time monitoring and analytics features that leverage AI to help organizations oversee their operations, improve governance, and optimize their business processes.

The following AI Control Towers are available for AWS Bedrock:
- Analyze Image
- Analyze Image - Adapt Flow
- Analyze Image - Ad Hoc Task
- Analyze Image - Initiate Subprocess
- Analyze Image - Send Notification
- Chat Completion
- Chat Completion - Adapt Flow
- Chat Completion - Ad Hoc Task
- Chat Completion - Initiate Subprocess
- Chat Completion - Send Notification
For more information, refer to the AI Control Towers for AWS Bedrock in Process Builder.
Access Tokens
You can create access tokens for Amazon Web Services.
An access token is a secure object that stores an endpoint (usually a URL) and authentication credentials to connect to a service or technology. Often this is an external or third-party service, like Salesforce or SharePoint, but access tokens can also connect to an AgilePoint NX enviornment, local database, or other types of technologies. Once an access token is created, app designers can simply select and reuse it, rather than entering the credentials each time they are needed.
For more information, refer to Access tokens for Amazon Web Services.

Related Topics
- AWS Bedrock > Activities tab - Process activities
- AWS Bedrock > Control Towers tab - AI Control Towers
- Access Token for Amazon Web Services
Examples
- (External) AgilePoint NX Connector For AWS Bedrock
- Examples - Step-by-step use case examples, information about what types of examples are provided in the AgilePoint NX Product Documentation, and other resources where you can find more examples.
AWS Bedrock Documentation
Use these links to find third-party vendor documentation for AWS Bedrock:
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Keywords
AWS Bedrock, Amazon, aws, LLM, large language model, artificial intelligence, AI