The hands-on AWS AI-DLC workshops are helping Jonas Software business units move from AI curiosity to real-world execution, building practical skills and a repeatable model for AI-enabled delivery.

Turning AI From Concept Into Capability

AI is no longer a future-state discussion across Jonas. It is becoming an embedded part of how our businesses build, ship, and improve software.

To accelerate that shift, Jonas has partnered with AWS to deliver the AI-Driven Development Lifecycle (AI-DLC) workshops, designed to help teams rethink how software is built when AI is treated as a core collaborator, not just a supporting tool.

As a learning organization (the ‘C’ in our ABC differentiators: Culture of Sharing Best Practices), Jonas focuses on practical enablement. These workshops are not about theory or trends. They are about helping teams apply AI in ways that improve speed, quality, and decision-making in their day-to-day work.

What is AWS AI-DLC?

The AWS AI-DLC framework restructures the software development lifecycle so AI participates end-to-end, while keeping humans firmly in control of key decisions.

The approach is built around three phases:

  • Inception: Requirements, architecture, and planning, where AI proposes options and humans approve direction
  • Construction: Design, code generation, testing, and rapid iteration
  • Operations: Deployment, monitoring, and continuous improvement

At every stage, there are clear approval gates, traceability, and governance built in. This is what positions AI-DLC as a production-ready methodology, not experimentation.

Bringing Jonas Teams Together

The AI-DLC workshops bring together leaders and practitioners from across Jonas business units for focused, hands-on work.

Beyond the formal sessions, one theme has stood out consistently:
the value of shared experience.

  • Conversations between sessions often delivered as much value as the sessions themselves
  • Teams openly shared what is working, and what is not, across different markets and products
  • Strong alignment that AI adoption is not just a technology shift, but a change management challenge supported by technology

This collaborative environment aligns closely with how Jonas businesses operate, sharing practical insights and applying proven approaches across verticals.

What Teams Actually Do In The Workshop

The AI-DLC experience is intentionally hands-on and focused in real work. During the sessions, teams:

  • Build real applications or prototypes based on defined use cases
  • Use open-source AI-DLC workflows developed by AWS Labs
  • See how AI adapts its level of rigor depending on complexity
  • Work within built-in governance, documentation, and quality controls from the start

This is not a slide-based learning session, the teams leave with working outputs, not just ideas.

Addressing Real Business Unit Challenges

For Jonas business units, AI-DLC directly tackles common barriers to adoption:

Faster Time to Market

AI handles routine and repeatable tasks, allowing teams to focus on differentiation and higher-value decisions.

Consistent Quality and Governance

Approval gates, documentation, and traceability are embedded into the process, reducing risk as AI usage scales.

Reduced Reliance on Individual Expertise

Knowledge and decision-making are captured systematically, rather than sitting with a small number of developers.

A Repeatable Delivery Model

Teams do not need to define their own AI approach from scratch. They start with a structured, proven framework.

Building Momentum Across Jonas

The introduction of AI-DLC workshops marks an important step in Jonas’s broader AI journey. This is only the beginning of more sessions across additional business units. Where our teams will come away with a deeper integration into development practices. 

AWS is only the first of many future collaborations with partners, future workshops with other AI tools like raia is on the horizon. 

Most importantly, this is about building confidence in our teams. Confidence that AI can move beyond experimentation and into production in a controlled, scalable way.

From Curiosity to Execution

The biggest shift happening across Jonas is not just technical. It is practical. It’s moving away from “What could AI do?” to demonstrating “Here is what AI is doing today.”

That shift only happens through hands-on experience, shared learning, and repeatable frameworks. Workshops like AI-DLC are how that change becomes real solutions. 

 

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