Welcome to the Multi-Agent Custom Automation Engine solution accelerator, designed to help businesses leverage AI agents for automating complex organizational tasks. This accelerator provides a foundation for building AI-driven orchestration systems that can coordinate multiple specialized agents to accomplish various business processes.
When dealing with complex organizational tasks, users often face significant challenges, including coordinating across multiple departments, maintaining consistency in processes, and ensuring efficient resource utilization.
The Multi-Agent Custom Automation Engine solution accelerator allows users to specify tasks and have them automatically processed by a group of AI agents, each specialized in different aspects of the business. This automation not only saves time but also ensures accuracy and consistency in task execution.
The solution leverages Azure OpenAI Service, Azure Container Apps, Azure Cosmos DB, and Azure Container Registry to create an intelligent automation pipeline. It uses a multi-agent approach where specialized AI agents work together to plan, execute, and validate tasks based on user input.
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If you'd like to customize the solution accelerator, here are some common areas to start:
Azure AI Foundry Documentation
Azure Container App documentation
Click to learn more about the key features this solution enables
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Allows people to focus on what matters
By doing the heavy lifting involved with coordinating activities across an organization, peoples' time is freed up to focus on their specializations. -
Enabling GenAI to scale
By not needing to build one application after another, organizations are able to reduce the friction of adopting GenAI across their entire organization. One capability can unlock almost unlimited use cases. -
Applicable to most industries
These are common challenges that most organizations face, across most industries. -
Efficient task automation
Streamlining the process of analyzing, planning, and executing complex tasks reduces time and effort required to complete organizational processes.
Follow the quick deploy steps on the deployment guide to deploy this solution to your own Azure subscription.
Click here to launch the deployment guide
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⚠️ Important: Check Azure OpenAI Quota Availability
To ensure sufficient quota is available in your subscription, please follow quota check instructions guide before you deploy the solution.
To deploy this solution accelerator, ensure you have access to an Azure subscription with the necessary permissions to create resource groups and resources. Follow the steps in Azure Account Set Up.
Check the Azure Products by Region page and select a region where the following services are available: Azure OpenAI Service, Azure AI Search, and Azure Semantic Search.
Here are some example regions where the services are available: East US, East US2, Japan East, UK South, Sweden Central.
Pricing varies per region and usage, so it isn't possible to predict exact costs for your usage. The majority of the Azure resources used in this infrastructure are on usage-based pricing tiers. However, Azure Container Registry has a fixed cost per registry per day.
Use the Azure pricing calculator to calculate the cost of this solution in your subscription. Review a sample pricing sheet for the achitecture.
| Product | Description | Cost |
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| Azure OpenAI Service | Powers the AI agents for task automation | Pricing |
| Azure Container Apps | Hosts the web application frontend | Pricing |
| Azure Cosmos DB | Stores metadata and processing results | Pricing |
| Azure Container Registry | Stores container images for deployment | Pricing |
⚠️ Important: To avoid unnecessary costs, remember to take down your app if it's no longer in use, either by deleting the resource group in the Portal or runningazd down.
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Companies maintaining and modernizing their business processes often face challenges in coordinating complex tasks across multiple departments. They may have various processes that need to be automated and coordinated efficiently. Some of the challenges they face include:
- Difficulty coordinating activities across different departments
- Time-consuming process to manually manage complex workflows
- High risk of errors from manual coordination, which can lead to process inefficiencies
- Lack of available resources to handle increasing automation demands
By using the Multi-Agent Custom Automation Engine solution accelerator, users can automate these processes, ensuring that all tasks are accurately coordinated and executed efficiently.
Click to learn more about what value this solution provides
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Process Efficiency
Automate the coordination of complex tasks, significantly reducing processing time and effort. -
Error Reduction
Multi-agent validation ensures accurate task execution and maintains process integrity. -
Resource Optimization
Better utilization of human resources by focusing on specialized tasks. -
Cost Efficiency
Reduces manual coordination efforts and improves overall process efficiency. -
Scalability
Enables organizations to handle increasing automation demands without proportional resource increases.
This template uses Azure Key Vault to store all connections to communicate between resources.
This template also uses Managed Identity for local development and deployment.
To ensure continued best practices in your own repository, we recommend that anyone creating solutions based on our templates ensure that the Github secret scanning setting is enabled.
You may want to consider additional security measures, such as:
- Enabling Microsoft Defender for Cloud to secure your Azure resources.
- Protecting the Azure Container Apps instance with a firewall and/or Virtual Network.
Check out similar solution accelerators
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| Document Knowledge Mining | Extract structured information from unstructured documents using AI |
| Modernize your Code | Automate the translation of SQL queries between different dialects |
| Conversation Knowledge Mining | Enable organizations to derive insights from volumes of conversational data using generative AI |
Have questions, find a bug, or want to request a feature? Submit a new issue on this repo and we'll connect.
Please refer to Transparency FAQ for responsible AI transparency details of this solution accelerator.
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