AI Influences Integration Design and Development
Artificial intelligence is accelerating and enhancing integration work, impacting design, development, operations, and security. Integration architects are observing these changes in their daily work.
Artificial intelligence (AI) is rapidly transforming the design and construction of integrations, which are the communication and data transfer links between systems. According to observations by Digia's integration architects, AI is now significantly impacting integration projects, speeding up and improving various phases of the work.
The most central areas of influence include integration design, development, operations, and governance and security. AI is used as an aid for drafting integration specifications and understanding legacy code in migration projects. In development, AI-based tools like GitHub Copilot assist with coding, and many integration platforms (iPaaS) already offer their own AI-assisted functions for creating flows.
In operations and security, AI helps by consolidating information from logs to resolve problems more quickly. It can also monitor compliance, such as GDPR violations, and review the security of code and infrastructure. Particularly, agents, which can perform more complex tasks with the aid of memory and tools, are revolutionizing integration work.
These agents function either as aids in building integrations or as consumers within broader agent ecosystems. Digia emphasizes that AI expertise needs to be integrated into teams' skill roadmaps. Companies also require integration solutions to support their own agents' tool and data needs, enabling agents to access internal or external data sources, for example.