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

AIs potential for analyzing, refining and augmenting large datasets is extremely promising. However often 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 customer data from external applications.

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, including embedded MCP, without having to directly add AI to your codebase or your first-party data, using Cyclr’s Orchestration Layer.

Cyclr’s AI Policy

Solutions for managing external data access for AI

Cyclr provides solutions for managing AI at scale for many types of industries, including:

Integration For AI Product Companies

What is it?

Empower your users to interact with your AI solution directly within their preferred communication tools. Enhance the user experience by minimizing context-switching, reducing disruptions, and allowing users to find answers without breaking their workflow.

With our embedded iPaaS, you can seamlessly integrate with a variety of communication platforms—such as Slack and Microsoft Teams—ensuring your AI solution is accessible where your users already work.

 

Integration for AI Product Companies

The Benefits

  • Ingest data from many sources
  • Faster prototyping
  • Multi Tenanted credential management
  • Deploy & publish Agents into external apps
  • Reusable tools for scalability

AI Service Companies

What is it?

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.

 

AI Orchestration for Service Providers

The Benefits

  • Finer controls over third-party data access
  • Build and deploy custom agents for your customers
  • Create workflows between multiple AI models
  • Multi tenancy for ringfenced AI integration deployment

Fully Embeddable MCP Solution

What is it?

Transform your SaaS data into natively AI accessible data points. Enable your users to create their own MCP servers, from within your application, so they can interact with their data from their AI model of choice.

Leveraging a fully multi-tenanted infrastructure, MCP PaaS puts security at it’s core – with built in OAuth, usage reporting and management tools.

 

MCP PaaS

The Benefits

  • Embeddable MCP Server Marketplace
  • Fully multi-tenanted solution for data segregation
  • Built-in OAuth security
  • Compatible with all AI models
  • Go live in days

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. This enables 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