AI Orchestration

Enhance and augment data in your integrations by orchestrating AI prompts to create advanced AI powered automations

Securely Combine External Application Data With AI Models

While AIs potential for analyzing, refining and augmenting large datasets is extremely promising, there are safeguards you would want to put in place to manage the data that is being supplied to the model.

This is especially true when using third-party data from external applications. Let alone the standardization of building a prompt and defining its output, you wouldn’t give it direct access to client credentials to access the data.

This is where Embedded iPaaS acts well as a gatekeeper for using AI at scale; providing the platform to retrieve data, reformat it and customize the prompt, before enabling the AI to process the request – then giving you the ability to define how and where the response is used – in your application or in another third-party system.

AI integration workflow example from ActiveCampaign to ChatGPT and Salesforce
Key Enterprise Integration Considerations - Data Processing and Compliance

Authentication Gatekeeping For AI Models

By working in tandem with AI, Embedded iPaaS can act as the orchestrator and gatekeeper to your AI model’s data access – giving you finer grain controls over what is fed into it and how prompts are formatted for best possible results.

This way you, and your users, can benefit from new advanced AI functionality without having to directly add AI to your codebase or your first-party data, using Cyclr’s Orchestration Layer.

Cyclr’s AI Policy

AI and API Interoperability

Control and build integration automations as you would with any other SaaS Application Connector, adding in AI prompts, responses and logic at any step. Standardize and scale your automations in a single visual framework – enabling all teams to understand and create their own automations through a drag and drop interface.

Multi AI Orchestration

Create automation workflows that combine third or first party data with multiple AI prompts or AI models. Perform advanced analytics, data transformations or augmentations without being limited to one particular type of AI, using results from one prompt to inform further AI step prompts.

ChatGPT and Chat integration workflow example

Why use Cyclr to orchestrate AI platforms?

  • Finer controls over third-party data access
  • Seamless interoperability with external SaaS applications
  • Built in looping and logic for large datasets
  • Publish AI integrations in-app for your users to install
  • Create workflows between multiple AI models
  • Multi tenancy for ringfenced AI integration deployment
Ready to start your integration journey?

Book a demo to see Cyclr in action and start creating integration solutions for your customers

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