Exclusive CXO Roundtable Discussion
In partnership with enreap + Atlassian
An executive discussion on how AI is transforming the software development lifecycle, from ideation and requirements planning to coding, code review, and deployment.
Theme
State of AI SDLC
Venue
Bengaluru
Build meaningful conversations with CTOs, VPs of Engineering, Heads of Software Development, Engineering Directors and technology decision-makers.
Facilitate practical discussions around AI adoption, engineering productivity, governance, context gaps and the challenges of scaling AI beyond individual developers.
Connect real business challenges to relevant Atlassian capabilities across Jira, Confluence, Bitbucket, Loom, Rovo and the broader software delivery ecosystem.
Identify organisations evaluating AI-enabled SDLC transformation, Atlassian adoption, platform consolidation, integrations, implementation, migration and optimisation services.
The discussion and demonstrations will cover the following products and capabilities relevant to AI SDLC.
Work planning, backlog management, epics, tasks, and agent-enabled workflows
Requirements, technical documentation, engineering standards, and knowledge
AI search, chat, agents, and access to organizational context through Teamwork Graph
Requirements discovery, PRDs, technical planning, architecture, and work-item creation
AI-assisted development from Jira work items; called Rovo Dev in the supplied demo transcript
Source-code repositories, pull requests, and development collaboration
CI/CD automation and software delivery workflows
Developer experience, productivity insights, and measurement of engineering outcomes
Video-based communication and knowledge sharing within the broader Teamwork Collection
Additional tools referenced in the demo: Claude Code, Cursor, and GitHub Copilot as alternative coding tools. These are third-party tools, not Atlassian products.
The primary focus will remain on the products and capabilities directly demonstrated in the AI SDLC workflow.
The discussion will be aligned with participants’ business needs and current challenges.
Reducing manual work, repetitive tasks, and delivery delays.
Improving requirement clarity and reducing handoffs between product and engineering teams.
Using AI agents across coding, code review, and software delivery.
Maintaining security, compliance, engineering standards, and human oversight.
Connecting Jira, Confluence, source-code repositories, and delivery workflows.
Defining readiness, success metrics, and a practical roadmap for scaling AI.
An executive forum where Atlassian shares its AI SDLC vision and product capabilities, while Enreap demonstrates how enterprises can translate that vision into practical, governed, and measurable software delivery improvements.
Format: Roundtable Discussion followed by Dinner
Introduce Enreap and Atlassian, establish the event context, objectives, and State of AI SDLC theme.
Discuss business needs, existing engineering challenges, AI adoption maturity, workflow bottlenecks, and expectations from AI.
Present Atlassian’s AI SDLC vision and demonstrate AI Planner, Rovo, Jira Coding Agent, AI-assisted code review, Bitbucket, and connected workflows.
Demonstrate Enreap’s approach to AI SDLC implementation, workflow optimization, toolchain integration, governance, and enterprise readiness.
Summarize insights, identify potential follow-up discussions, and outline possible AI SDLC readiness assessments.
Enable informal discussions between participants, Atlassian, and Enreap.
Exclusive CXO Roundtable Discussion | Bengaluru | 25th Nov’26 | 7:00 PM Onwards