The journey of creating software is long, complex, fragmented, and involves dozens of separate tools. To streamline this process, global digital transformation company GFT has launched AI Impact, a new solution that leverages artificial intelligence to eliminate technical debt, increase developer efficiency and automate critical software development processes.
In initial projects with leading banks, insurance companies and manufacturers across the American and European markets, AI Impact has demonstrated software development efficiency gains of up to 90%.
Across industries, enterprises are increasingly leaning on AI tools to automate previously manual and inefficient software development tasks, with three-quarters of engineers expected to use AI-powered code assistants by 2028. GFT’s AI Impact enables companies to capitalize on this reality now.
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The suite of seven tools expedites everything from creating stories and estimating their effort and complexity, to code review, vulnerability detection and code correction, documentation, and testing.
“Generative AI is revolutionizing the way software is created. I am certain that there will be no software development without AI anymore. Even now, anyone who is developing software without AI is putting themselves at a great disadvantage,” said GFT Co-CEO Marco Santos. “With AI Impact we are making sure our clients are among the first to profit from this revolution.”
In the Americas region specifically, AI Impact is currently being rolled out by companies in the finance, telecommunications, retail and health sectors. Compared to manual processes, these organizations have seen a 90% acceleration in story creation; 85% faster documentation generation; 65% reduction in bug fixing time; 80% faster code review; and 85% quicker identification of new vulnerabilities using AI Impact.
AI Impact is part of the GFT AI.DA Marketplace, a platform that combines predictive and generative AI technologies and data analytics. The GFT AI.DA Marketplace promotes the development and introduction of AI applications by providing a comprehensive collection of use cases, methods, reference architectures and preconfigured solutions. This helps to significantly accelerate digital transformation.
