How AI Agents Can Transform the Way You Work and Elevate Productivity

What if your software teams could deliver more value without increasing headcount?

Software delivery is becoming more complex, with rising expectations for faster releases, higher quality, stronger security, better documentation, and continuous modernization. Traditional development approaches are no longer enough when teams are expected to do more with the same resources.

Join us to explore how AI, automation, reusable engineering assets, and modern delivery practices can improve productivity across the end-to-end software development lifecycle — from requirement analysis and solution design to development, testing, deployment, support, and continuous improvement.

This session provides an approach to helping development teams reduce manual effort, improve delivery consistency, and accelerate business outcomes through AI-assisted software engineering.

Key Takeaways:

• Accelerate Requirement Analysis and Solution Design
  Learn how AI can help teams analyze business requirements, generate user stories, identify gaps, and produce clearer functional and technical specifications.
• Improve Development Productivity
  See how AI-assisted coding, reusable components, coding standards, and automated code review can reduce repetitive development effort and improve code quality.
• Strengthen Testing and Quality Assurance
  Explore how test case generation, test automation, defect analysis, and regression testing can be enhanced to improve release confidence and reduce rework.
• Streamline DevOps and Release Management
  Understand how CI/CD automation, environment standardization, deployment checks, and release governance can shorten delivery cycles while improving control.
• Enhance Support and Maintenance Efficiency
  Discover how AI can assist in log analysis, issue triage, root cause analysis, knowledge base generation, and faster incident resolution.
• Drive Continuous Improvement Across the SDLC
  Learn how engineering metrics, documentation automation, reusable playbooks, and AI-enabled insights can help teams continuously improve delivery performance.

Who Should Attend:

IT leaders, application owners, enterprise architects, project managers, development leads, QA managers, DevOps engineers, and digital transformation teams looking to improve productivity, quality, and speed across the software development lifecycle.

AvePoint brings proven experience in enterprise application delivery, modernization, cloud platforms, AI adoption, DevOps practices, and managed services — helping organizations build a more productive, intelligent, and scalable software delivery model.