Workshop makeover

Building a smarter toy lifecycle


Re-engineering toy development to be consistent, scalable, and built to learn

 

 

Expert insight

Leader spotlight

 

Eugen Rosenfeld

A CTO & a Solution Architect in Life Sciences at Nagarro. He has more than 20 years experience in different programming languages, technologies and business domains.

Quality built into every line of code.

When we held our Fluidic Advisory session, we assessed the workshop, and one theme stood out: the SDLC was delivering impressive outcomes, but only through immense operational strain. Requirements were unclear, designs varied across teams, production loads were uneven, testing struggled to keep pace, releases allowed no room for error, and post-season feedback arrived in overwhelming volume.

The lifecycle wasn’t broken, it was fragmented. And fragmentation slows everything down.

The transformation

The toy lifecycle was restructured around a clear, AI-augmented workflow from requirements to design, development, testing, deployment, and operations. Instead of relying on heroics, the process now depends on clarity, consistency, automation, and continuous learning. Every stage is guided by shared standards, intelligent guardrails, and feedback loops that strengthen the system with each season.

The result is an SDLC that behaves like a modern engineering organization: predictable, measurable, and able to scale.

Behind the build 

 

 

Fluidic-Enterprise

1. Clarity at the start

AI-assisted requirement parsing transforms vague wish lists into clear specifications, reducing rework and misalignment.

2. Consistent design 

Automated validation ensures every toy adheres to a unified design system, improving usability and manufacturability.

3. Smooth development flow

Optimized integration pipelines remove bottlenecks and bring predictability to high-volume production cycles.

4. Scalable quality assurance

Automated stress-testing and quality checks validate millions of toys at speed, minimizing defects and late-cycle surprises.

5. Reliable deployment

Real-time orchestration ensures Christmas Eve, the workshop’s largest annual release, executes with precision and without downtime.

6. Continuous operations improvement

Incident data, monitoring insights, and post-season feedback feed into models that refine workflows, reduce friction, and improve throughput.


The workshop today

The toy lifecycle is now unified, consistent, and capable of meeting global demand without last-minute escalations. Requirements are clearer, designs are stable, production is smoother, and releases run with confidence instead of risk. Most importantly, each season strengthens the next, the hallmark of a mature engineering organization.


When every stage of the lifecycle learns from the one before it, quality stops being an event. It becomes a system.

 

Eugen Rosenfeld
CTO, Nagarro