We are leading the deployment of generative AI across the software development lifecycle, proving that advanced tools can transform enterprise delivery timelines.
By combining GitHub Copilot with custom agentic solutions, we are shifting from simple code completion to deep contextual automation. This comprehensive approach ensures large-scale projects achieve consistent quality, robust automated testing, and accelerated time-to-market.
Key Efficiency Gains:
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We shaved 100 days off API development for an Australian banking project, speeding up delivery by a third.
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Our engineering teams generated over 95% of unit test coverage through AI during a recent banking deployment.
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We have built one of the largest cohorts of AI and machine learning specialists in Australia, securing the most certified GitHub Copilot practitioners across ANZ.
Scaling Engineering Excellence Through Agentic Solutions
Deploying utility tools at scale requires moving past standalone applications to focus on custom architectures and business context. By embedding AI assistants to generate test cases, examine legacy frameworks, and produce technical documentation, we map solutions directly to unique enterprise security constraints and compliance rules. Supplementing these practices with autonomous AI agents allows organisations to automate complex workflows from vulnerability remediation to code review, unlocking scalable productivity across entire engineering pipelines.
“What we are seeing today is just the tip of the iceberg. We are seeing that end-to-end software delivery lifecycle really be accelerated through agentic AI and the use of agentic solutions, versus a single tool, like a Copilot. A typical coding tool is only going to be able to take a general context and generate general code, but supplementing these tools with agentic solutions really comes into its own to understand a company's specific context, challenges, and business requirements. Whether it is AI-generated code or good human-generated code, there shouldn't be a difference in software testing, and we are starting to prove that we can get good quality generated code consistently at scale.”
Adam DurbinChief Technology Officer | Mantel
