Agentic SDLC: AI in the Software Development Life Cycle

In collaboration with incratec

Sovereign in the Agentic SDLC: Leading AI Teams Faster While Maintaining Full Control Over Quality and Planning.

AI is not just changing how code is written – it is changing how software projects are managed. Requirements are drafted faster, test coverage grows automatically, and documentation is created alongside the development process. For Project Managers, Product Owners, and Application Managers, this means new opportunities, but also new responsibilities.

Anyone responsible for software projects today must understand what AI-supported development teams can achieve – and where the limits lie. A team working with agentic coding tools delivers faster. However, quality, test coverage, and traceability are not guaranteed: they only happen if leadership roles know which questions to ask and which guardrails to demand.

In this one-day training, Project Managers, Product Owners, and Application Managers develop a sound understanding of the Agentic SDLC: How does AI change the development process from requirement analysis to implementation, testing, and documentation? How do I realistically estimate stories and sprint capacities when my team works with AI agents? And how do I recognize if AI-generated output has the necessary quality – even if I don’t read code?

The course is tool-neutral (with examples and tasks for the Atlassian stack and GitHub) and teaches practical working methods that can be directly integrated into existing project processes.

Understand how agentic coding tools change the software development process – from requirement gathering and implementation to review, testing, and documentation.
Are able to create and refine user stories, acceptance criteria, and test scenarios more efficiently with AI support – without relying on technical detailed knowledge.
Know how to productively use Atlassian Intelligence in Jira and Confluence: summaries, backlog support, and documentation from meeting notes.
Know the realistic impact on velocity and estimations: What changes when developers work with AI agents – and how do I remain in control as a PM/PO?
Are able to demand quality, test coverage, and traceability, even without personal programming skills – and know which questions to ask their development team.
Understand how concepts and guidelines can be configured, shared, and jointly optimized at the personal and team level.
Leave the workshop with a ready-to-use Agentic SDLC Roadmap for their own team – featuring concrete adjustments for requirement management, project/sprint planning, and review processes.

Experience as a Project Manager, Product Owner, Business Analyst, or Application Manager (min. 1–2 years in a comparable role).
Basic knowledge of agile project management (Scrum, Kanban, etc.); experience with Jira and/or Confluence is an advantage.
No programming knowledge required – the course is explicitly designed for non-technical roles.

Project Managers, Scrum Masters, and Product Owners who lead development teams that use or will use AI tools.
Application Managers and Business Analysts who want to make the requirement process more efficient with AI support.
IT executives and Team Leads who need to understand how agentic coding changes the SDLC – and what that means for planning, quality assurance, and governance.

CHF 1100 / person for one day
Groups of 8-20 people
Includes documentation and work templates (story templates, review checklists, Agentic SDLC Canvas)
Before the training: Questionnaire on existing processes, tools, and specific pain points – so examples can be optimally aligned with your project context
No technical setup required; Atlassian Intelligence is shown in demo mode
Content can be adapted to the team's specific development process and tech stack
Discount for 12 or more people

Training Content

Our trainings consist of varied presentations and hands-on labs to convey content in an exciting way. Upon agreement, we are happy to reference your specific project context and adapt examples to your processes.

The training combines short impulse inputs with practical exercises based on real project situations – including discussions of typical pitfalls when using AI in software projects.

Morning – Understanding Agentic Coding & Requirements with AI

Context: What agentic coding tools can do – and what they cannot. What changes for PMs, POs, and AMs?
The Agentic SDLC: How does AI change the development process from requirements to coding, testing, and documentation?
Atlassian Intelligence in Practice: Creating and refining Jira tickets, Confluence pages, and meeting summaries with AI.
Sharpening user stories and acceptance criteria with AI support: Techniques for POs and BAs.

Afternoon – Planning, Quality & Team Roadmap

Impact on Velocity and Estimations: What changes in sprint planning when the team works with AI?
Demanding quality without coding knowledge: Which questions do I need to ask? Which artifacts should I request (tests, documentation, review protocols)?
Governance and Risks: Where do new dependencies, quality risks, or compliance issues arise when using AI in the SDLC?
Agentic SDLC Roadmap: How do I adapt our processes, templates, and review gates to the AI-supported development routine?

In cooperation with incratec

incratec GmbH comprehensively supports companies in AI usage: from strategy and procurement to the introduction and development of AI solutions and training.

incratec GmbH

1 Day

CHF 1100

Certificate

Digital Documentation

Please bring your own laptop.