1. Assessment of AI Toolso Research and evaluate AI tools and platforms that can enhance software development practices (e.g. code generation, error detection, reviewing, testing, and DevOps optimisation).o Conduct hands-on testing and technical evaluations to determine each tool¿s viability, performance, and scalability.o Compare tools against business and technical requirements, including cost-effectiveness, integration complexity, and compliance standards.o Create recommendations of how IAG should support or not support a range of AI tools / models and measure the benefit on productivity for a range of development tasks:1. Perform high-level ½ day overview of different tools / models to see which warrant further investigation2. Complete 1-week hands-on experiments with different tools and models for a range of tasks and produce recommendations / comparisons with the GitHub Copilot default model3. Complete more in-depth evaluation of any selected AI tools and platforms to enhance code generation, error detection, testing, and DevOps optimisation2. Collaboration with Stakeholderso Engage with development teams, technical leads, and product managers to identify challenges and opportunities where AI tools can deliver value.o Present findings and recommendations to senior leadership, highlighting the strategic benefits of adopting specific AI tools.3. Integration and Rollouto Develop strategies and best practices for introducing AI tools into existing processes, ensuring minimal disruption.o Lead proof-of-concept projects and pilot programmes to validate tool effectiveness.o Support teams with onboarding and training to maximise the benefits of new AI technologies.o Assist in rolling out and increasing adoption of AI software development tools, through workshops, focus groups, etco Produce handbooks and documentation to support the increased adoption of AI Code Generation tools4. Performance Monitoring and Optimisationo Define metrics and KPIs to measure the impact of adopted AI tools.o Continuously review the performance of tools in use, identifying opportunities for further optimisation.5. Governance and Compliance
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1. Assessment of AI Toolso Research and evaluate AI tools and platforms that can enhance software development practices (e.g. code generation, error detection, reviewing, testing, and DevOps optimisation).o Conduct hands-on testing and technical evaluations to determine each tool¿s viability, performance, and scalability.o Compare tools against business and technical requirements, including cost-effectiveness, integration complexity, and compliance standards.o Create recommendations of how IAG should support or not support a range of AI tools / models and measure the benefit on productivity for a range of development tasks:1. Perform high-level ½ day overview of different tools / models to see which warrant further investigation2. Complete 1-week hands-on experiments with different tools and models for a range of tasks and produce recommendations / comparisons with the GitHub Copilot default model3. Complete more in-depth evaluation of any selected AI tools and platforms to enhance code generation, error detection, testing, and DevOps optimisation2. Collaboration with Stakeholderso Engage with development teams, technical leads, and product managers to identify challenges and opportunities where AI tools can deliver value.o Present findings and recommendations to senior leadership, highlighting the strategic benefits of adopting specific AI tools.3. Integration and Rollouto Develop strategies and best practices for introducing AI tools into existing processes, ensuring minimal disruption.o Lead proof-of-concept projects and pilot programmes to validate tool effectiveness.o Support teams with onboarding and training to maximise the benefits of new AI technologies.o Assist in rolling out and increasing adoption of AI software development tools, through workshops, focus groups, etco Produce handbooks and documentation to support the increased adoption of AI Code Generation tools4. Performance Monitoring and Optimisationo Define metrics and KPIs to measure the impact of adopted AI tools.o Continuously review the performance of tools in use, identifying opportunities for further optimisation.5. Governance and Compliance