What's Happening?
Solifi, a global provider of secured finance software solutions, in collaboration with Forgd, an applied AI consultancy, has released findings on the successful integration of AI in their software engineering processes. The report highlights a significant
70% reduction in database calls within a critical module, achieved in just three weeks. This was accomplished through an AI-assisted development approach, where Forgd's team embedded directly with Solifi's engineers. The initiative aimed to modernize Solifi's engineering operations, focusing on production-grade resilience and reliability. By leveraging AI tools, Solifi was able to close long-standing test coverage gaps and establish repeatable AI workflows across the development lifecycle.
Why It's Important?
The successful implementation of AI in Solifi's engineering processes demonstrates the potential for AI to significantly enhance operational efficiency in the software industry. This development is particularly relevant for secured finance firms, where platform reliability and compliance are critical. The ability to modernize without disruption is a major advantage, offering a roadmap for other companies looking to integrate AI into their operations. The case of Solifi and Forgd illustrates how AI can be embedded into existing workflows, enabling teams to operate independently and efficiently. This could lead to broader adoption of AI in enterprise software engineering, potentially transforming industry standards and practices.
What's Next?
Following the success of this initiative, other companies in the secured finance sector and beyond may look to replicate Solifi's approach to AI integration. The focus will likely be on developing AI-native engineering capabilities that can be sustained independently by in-house teams. As more organizations adopt similar strategies, there may be increased demand for AI consultancy services like those provided by Forgd. Additionally, the industry could see a shift towards more agile and efficient development processes, driven by the capabilities of AI tools.
