The concept of business being composable is not a new idea, as organizations have historically been made up of a combination of physical resources, intellectual property, processes, and people. However, the technology industry has recently embraced the term “composability” as a key trend. This shift in focus towards composable computing has been influenced by the rise of application programming interfaces (APIs) and web-scale integration, as well as the increasing importance of workflows over traditional work structures.
MuleSoft, an enterprise integration, automation, and API management company, is positioning itself as a key player in the era of composable business. By emphasizing the need for AI agents to be integrated seamlessly into workflows, MuleSoft is advocating for a platform that enables organizations to scale and adapt to evolving technologies and standards. This approach involves building composable architectures using a diverse set of integration, automation, and API management capabilities that allow for rapid adoption of new technologies.
An illustrative example provided by MuleSoft highlights how a car manufacturer could use an API-led methodology to collect telemetry data and integrate AI-powered components into their systems. By leveraging MuleSoft’s product portfolio, which includes Anypoint Platform, robotic process automation, and intelligent document processing, organizations can build reusable building blocks through APIs and AI-powered automation flows. This integration process is essential for enabling AI assistants to take meaningful actions within the composable enterprise.
The concept of an API gateway is integral to the functioning of a composable enterprise, as it serves as a centralized software tool for managing API activity with traffic management rules, connection protocols, and security stipulations. API gateways play a crucial role in ensuring data security and governance within organizations. Using MuleSoft’s API gateways, financial institutions and other industries can implement custom policies and automated conformance checks to support regulatory compliance and data protection efforts.
As the trend towards composable AI continues to grow, businesses will need to ensure that AI assistants are capable of performing tasks beyond basic searches and information retrieval. AI assistants should be able to take meaningful actions, such as updating employee records, creating orders, or managing customer interactions. Through the use of APIs and integrations built with tools like MuleSoft Anypoint Platform and Salesforce Flow, organizations can extend the capabilities of AI assistants to leverage data from third-party systems.
In conclusion, the future of enterprise operational systems is likely to be shaped by the principles of composability, with applications, data services, and toolsets becoming more specialized and custom-aligned. By using repeatable blocks of IT for common tasks and smaller, more refined pieces of technology for specific needs, businesses can achieve greater flexibility and efficiency. The key to successful integration and composition lies in the ability to adapt to evolving technologies and standards, while also ensuring data security and governance are prioritized.
