#domain driven

What is an API?

An API (Application Programming Interface) is a way for different software systems to talk to each other. It allows one system to request data or trigger actions in another system—just like how a mobile app might request traffic updates or submit a maintenance request. 

What is MuleSoft?

MuleSoft is a prominent integration platform that facilitates the connection of systems, data, and applications via APIs for organisations. It simplifies growing integrations and using AI smoothly by offering tools for designing, developing, managing, and securing APIs.

How are APIs used in MuleSoft?

MuleSoft Integration uses a layered approach called API-led connectivity, which includes: 

System APIs – Connect to backend systems (like databases, ERPs, or legacy apps). 

Process APIs – Handle business logic and combine data from multiple systems. 

Experience APIs – Deliver data to users or apps in a secure and user-friendly way. 

Creating an API Strategy for Efficient AI Implementation

Here’s how to structure your API strategy for AI adoption: 

Build layered APIs – Use System APIs for data access, Process APIs for business logic, and Experience APIs for user-facing services. This modular approach allows easy reuse and adaptation as AI needs evolve. 

Apply Domain-Driven Design (DDD) – Organise APIs around business domains, such as “Traffic,” “Vehicles,” or “Safety.” This ensures APIs reflect real-world business processes and are easier to manage. 

Implement Versioning and Governance – Maintain consistency and security by updating APIs without breaking existing systems and enforcing policies across all APIs. 

Adopt Zero-Trust Architecture – Every access request is verified, ensuring sensitive data and systems are secure from unauthorised access. 

Summary:

APIs act as bridges between systems, enabling AI to access data and perform tasks efficiently. 

System APIs provide structured data, Process APIs orchestrate business logic, and Experience APIs deliver user-focused results. 

AI agents can leverage APIs to go beyond information retrieval—they can take actions, access real-time insights, and provide personalized responses. 

Integrating tools like Mule-AI-Chain and Vector Databases allows AI to handle unstructured knowledge effectively.