iwow supported a construction data company improve its global tech delivery by bringing teams together, modernizing platforms, connecting legacy systems, and introducing AI‑driven development practices.
Like many modern companies, the client faced the challenge of accelerating their development cycles while maintaining a high standard of quality and security. They needed a way to deliver software with:
- Shorter lead times
- Fewer errors and less rework
- Faster iterations and more testable product increments
- A strong focus on security at every stage
The organization was eager to explore how AI‑supported development could help them reach these goals, but lacked a structured approach to integrate AI tools into existing workflows without compromising quality or governance.
iwow was brought in to design and establish a modern, efficient, and safe way of working that leveraged AI across both frontend and backend development.
iwow assignment included:
- Identifying suitable AI tools and development workflows
- Evaluating the practical use of AI coding assistants like Cursor and Claude Code
- Designing routines and processes that combine human expertise with AI‑augmented development
- Ensuring that all improvements aligned with the client’s security and compliance requirements
We introduced a structured operating model where AI tools supported the development process end‑to‑end, from generating initial code proposals to assisting with refactoring, debugging, and documentation.
To safeguard quality, iwow implemented:
- Formalized review routines
- Peer‑review checkpoints
- Guidelines for secure use of AI in coding
- Clear criteria for when AI‑generated output must be manually validated
The client gained:
- A well‑defined AI‑enhanced development workflow that supports both frontend and backend work
- Significantly shorter development cycles thanks to AI‑assisted coding and automated suggestions
- Higher quality through structured reviews, improved consistency, and fewer recurring errors
- Increased security awareness through routines that ensure AI‑generated code is validated and compliant
- A development environment where teams can test, iterate, and deliver with far greater speed and confidence
Overall, the new way of working empowered the organization to modernize its development practices, reduce delivery risks, and accelerate innovation, all while maintaining a strong security posture.