Embedding AI Across the Product Process: Inside Cywareness’ Baku Workshop

True AI transformation is not just about the tools. It is about how people and AI work together.

Cywareness is taking its AI transformation further, moving beyond development and starting to bring AI into Product and Design workflows too.

After the R&D workshop in Warsaw, the product team gathered in Baku to keep the momentum going. They looked at how AI could fit into everyday product work, including research, brainstorming, defining products, designing UX/UI, and working with R&D.

The main goal of these workshops was to do more with AI tools. Working together, the aim was to build a shared system, a common way of working, and a mindset for using AI across the company.

Focusing on Real Product Workflows

As in Warsaw, the workshop was grounded in practical applications rather than abstract AI use cases. One example involved connecting Claude via MCP to tools such as Magnific and After Effects.

This let the team see how AI could automate tasks that are now done by hand and find real ways to use these features in daily Product and Design work. The approach is similar to what was done with R&D, where custom AI agents and reusable skills were built around real development workflows.

In both cases, the goal is to shape AI around how people really work, instead of adding technology just because it’s the thing to do.

Building a Shared Foundation

Different roles need different ways to work with AI.

Developers, product professionals, and designers might use different tools and workflows, but these skills are more valuable when they are built on shared systems, methods, and company context.

The product workshop combined a shared foundation with flexibility for each role. This let team members explore the AI features that matter most for their jobs, while staying connected to a bigger way of working.

This is especially important throughout the product lifecycle, where research, definition, design, and development all rely on smooth handoffs between people and teams.

Moving from Individual Tools to Shared Capabilities

Adopting AI in a meaningful way is about how teams work together and build their skills over time.

Sarit Lazinger, Head of Product at Cywareness, says this difference matters most in roles that rely a lot on creativity.

“AI is here to stay, so rather than resist it, we’re choosing to embrace it. Especially in roles that rely heavily on creativity, we see AI not as a replacement for creative thinking, but as something that expands the space we have to think, create, explore, and go deeper.” — Sarit Lazinger, Head of Product, Cywareness

The goal is to use these tools to support the people behind the product. This means giving more space for expertise, exploration, and creativity, while cutting down on manual work where AI can help.

As Lazinger explains, using these tools can make teams stronger, help people improve their skills, and lead to better results for customers.

The Baku workshop marks the next step in Cywareness’s larger AI rollout. The aim is to slowly build an AI-powered way of working, where AI is a natural part of daily work and teamwork, but there is still space for trying new things, learning, and meeting the needs of each role.

Now that the initiative covers both R&D and Product, the focus is shifting from just individual AI use to building a company-wide skill that links people, processes, and knowledge throughout the product lifecycle.

Read about the first workshop here: Embedding AI Across the Development Process: Inside Cywareness’ Warsaw Workshop