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Case Studies

IT and AI implementation case studies

These are projects where end-to-end responsibility mattered: product direction, user experience and the quality of delivering the solution into production.

ByteImp.com

AI conversion layer prepared for sales, demo use and production traffic.

ByteImp.com is a refined SaaS product in the AI conversion space, designed to detect the moment of user hesitation and turn it into a concrete qualified inquiry.

SaaS
Product positioning
AI
Conversational layer and demo
Web
Public frontend and SEO
ByteImp.com homepage screenshot with the product hero section and conversational interface.

Strong product narrative

The product was positioned as its own category, with a clear value message, concrete use cases and a readable path from problem to action.

A demo that shows the product in action

Industry-specific examples and demo paths were prepared so users can quickly understand how the product works in practice.

Consistency from UX to runtime

Frontend, content, routing, widgets, public assets and deployment support were aligned so the product feels polished and technically clean at the same time.

SurveyMechanics.com

A mature survey platform with responsibility for backend, feature development and production.

SurveyMechanics.com is a production survey and automated analysis platform where the heavy lifting sits inside the system itself: backend, business logic, feature work, migrations and safe maintenance of the live environment.

Full-stack
Responsibility scope
Prod
Maintenance and delivery
Data
Research and analytics
SurveyMechanics.com homepage screenshot with survey platform modules and automated analysis.

Backend and business logic

This is a project where handling research processes, users, results and analytical mechanisms is central to the value of the system.

Migrations and production responsibility

The strongest part of this case study is production accountability: evolving the platform on a live environment, shipping changes and migrations, and preserving continuity.

Long-term system development

The system lives for years, keeps gaining features, demands ongoing technical quality and must remain stable through successive changes.

Scope

IT and AI implementation case studies: selected projects shown through goals, responsibility scope and working production environments.

  • Projects that combine the public layer, application logic and production delivery.
  • Products and platforms presented through scope, responsibility and live environments.
  • Outcome ownership from solution direction to stable delivery.

What connects these projects

We combine design, implementation and responsibility for a working production environment.

Projects that combine the public layer, application logic and production delivery.

Products and platforms presented through scope, responsibility and live environments.

Outcome ownership from solution direction to stable delivery.