Daki

Over the past few years, we have built what every data team dreams of: a fully centralized, normalized, and documented data platform that supports 99.9 percent of the company’s analytical needs. We established a strong self-service BI culture, empowered by transparent governance and a unified semantic layer. Every internal stakeholder can now access the insights they need without waiting on an analyst or specialist. That solid foundation set the stage for our next leap forward.

Then came the AI Upheaval

Over just the last four months, AI tools have become widely accessible to our teams. What began as small-scale experimentation quickly turned into measurable productivity gains. From code generation and faster analyses to internal tools and even automated customer segmentation, AI has started transforming how we work. But with this progress came a new challenge: how do we scale AI with the same discipline, governance, and democratization that we achieved with data?

The answer lies in structure, not restriction

We are currently implementing a curated set of AI tools, prompts, and workflows tailored to different user profiles across the company. Developers have access to pair-programming agents trained on our coding standards and best practices, while marketing teams can leverage approved image-generation tools with reusable templates and documented prompts. This ensures we maintain continuity of knowledge, even if someone leaves the organization. Every AI-generated output is treated as part of our corporate knowledge base, rather than as isolated personal productivity hacks.

 We are currently implementing a curated set of AI tools, prompts, and workflows tailored to different user profiles across the company 

We’re also evolving the role of our Advanced Analytics team. Previously focused on high-impact, on-demand projects, they are now embedding directly within key business units. By becoming part of strategic conversations early on, they aren’t just answering questions anymore — they’re helping shape the very questions being asked, with AI at the forefront. This shift allows us to proactively integrate AI into the core of each team’s decision-making process rather than treating it as an afterthought.

Our vision is clear: within the next six months, we want AI to become as deeply embedded in our company culture as data is today. Just as no major decision is made without consulting the data, we want every new idea — whether it involves exploring market trends, drafting a prototype, or writing the first line of code — to emerge in close collaboration with AI.

This transformation is not about replacing people. It’s about augmenting their capabilities and scaling their impact. Data made us smarter. AI is making us faster. And we’re building the infrastructure to ensure everyone is part of this journey.