Case Study

Engineering Scalable GenAI Solutions for Regional Marketing Teams

01 Problem

A regional marketing and activation team needed to implement AI-driven processes for campaign delivery, but faced challenges with localization, engineering complexity, and user experience consistency. They needed technical leadership that could bridge strategy, execution, and scale—without adding unnecessary tech overhead.

02 Solution

Algomarketing deployed a Senior Technical Architect to lead GenAI solution design and delivery across marketing systems and internal tooling.

End-to-End Architecture

Designed and developed full-stack systems that embedded GenAI into existing campaign workflows

Localization-Ready Development

Collaborated with regional experts to shape compliant, relevant user experiences for diverse markets

AI Integration at Scale

Implemented modular, testable AI features that aligned with marketing and business priorities

AI Integration at Scale

Implemented modular, testable AI features that aligned with marketing and business priorities

Engineered AI workflows embedded in marketing ops tools and platforms

Delivered scalable, localized solutions that worked across regions

Reduced time from idea to delivery through modular, reusable architecture

Improved cross-functional team alignment around AI feature goals

Established strong engineering foundations for future GenAI expansion

03 Key Insights

AI adoption succeeds when it’s built on clarity and collaboration. Enes’ ability to translate technical depth into scalable, region-aware solutions made him a critical asset in driving meaningful, efficient change across marketing systems.

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