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We turn your data-displaying software into a product that does the user's job.

We turn your data-displaying software into a product that does the user's job.

We add an AI layer to your existing digital product — from product evaluation to user experience design, development to delivery, all under one roof. Production-ready results in 8-12 weeks.

A Familiar Scenario

"We should add AI features too." You hear this at every management meeting. But then what happens?

You work with a consulting firm. 6-8 weeks later, you have an 80-page strategy report. Well-written, accurate observations. But nothing that actually works. The report goes on the shelf.

Or you hand it to a dev team. They add a chatbot in 2 weeks. Technically it works, but it doesn't understand your product. It adds no value to users. Nobody uses it.

The problem: those who strategize don't build, those who build don't understand the product. Projects get lost in the gap between the two.

A Familiar Scenario
How We Work

We combine strategy, design, and development into a single process. We don't write reports and walk away — we deliver working products.

Evaluate
011-2 weeks

Evaluate

We analyze your product, users, and data architecture. We examine every screen, every flow, every data source.

We identify where AI will create the highest impact. We create a roadmap that starts with quick wins and scales for the long term.

Output: Prioritized AI integration roadmap

Design & Develop
026-10 weeks

Design & Develop

We design the user experience — where the AI feature appears in the user's workflow, how it looks, what it says. Then we build it.

We move in agile sprints. You see a working demo every 2 weeks. If we need to pivot, we pivot early. We test with real users as often as possible.

Output: Production-ready AI features, integrated into your existing infrastructure

Deliver & Evolve
03Ongoing

Deliver & Evolve

We take the working system to production. We hand it over to your team with code, documentation, and knowledge transfer.

But it doesn't have to end there. With data from the first phase and user feedback, we plan the next step together. The product evolves, and we evolve with it.

Output: Live system + handover + next phase roadmap

Real Results

E-Commerce Analytics Platform

An e-commerce analytics platform. Brand managers were navigating 7 modules and over 20 screens daily to analyze their data. Understanding a single product's daily performance took 10 minutes.

Evaluation

We examined every screen, data source, and user flow of the platform. We identified where AI would save the most time.

Design & Development

We added one-click AI analysis to every metrics page. We built a system that pulls user data and generates structured recommendations in Turkish and English based on context. Delivered production-ready with Next.js, Vercel AI SDK, and PostgreSQL caching.

Result

10 minutes of manual analysis dropped to 10 seconds. Users now log in to make decisions, not just look at data.

What's Next

Now in phase two, we're taking the platform beyond a monitoring tool — an AI consultant that first asks questions to understand your way of working, speaks entirely in your language, delivers automated morning performance briefings, and multi-channel review analysis. The product is going from passive to active.

E-Commerce Analytics Platform

Let's talk about your product's AI transformation.

Let's evaluate your existing software together. In our first conversation, we'll discover where AI can create the highest impact for your product.

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Product AI Transformation — Add an AI Layer to Your Software | Beta Space Studio | Beta Space Studio