New study: The Agentic AI gap
Read now
AI-augmented software engineering
Anyone can prompt with AI. Turning that into software you can trust is the hard part. We run every spec and every line through multiple expert lenses. With humans in command at each checkpoint.
A structured, AI-augmented process across the entire lifecycle
AI-powered lenses continuously scan every requirement and every line of code from multiple expert perspectives. The human stays in command, deciding at clearly defined points what moves forward, what gets refined, and what gets redirected.
Every spec and every line of code: reviewed, refined, optimized
Most AI-assisted development uses a single prompt, a single model, a single perspective. One engineer asks a question and gets one answer. That answer may be technically correct, but it still misses a security implication, a compliance issue, or a performance problem that a different specialist would have caught immediately.
We run every requirement and every piece of code through multiple AI lenses – each configured to simulate a different expert perspective. Not sequentially, not manually. Structured and automatic, at each stage of the process.
The result is a consistent review, refinement, and optimization. Regardless of who is available that day, which senior engineer was in the meeting, or whether the security specialist had time to look at the ticket.
Defined checkpoints, not a black box
During each cycle, humans review, refine, and optimize what AI has produced and make a deliberate decision. AI assists – it does not decide.
Before code is written
After AI has reviewed the specification from multiple perspectives, humans evaluate findings and decides whether the spec is ready to build from.
Before code ships
After AI has validated the code through multiple lenses, engineers review the structured output and decide what moves to deployment.
After deployment
Humans review production feedback and monitoring results before deciding what the next iteration looks like.
Built for environments where quality matters
The process is designed for enterprise delivery – regulated industries, complex systems, teams that cannot afford unpredictable output.
Secure AI environment
Containerized. Governed. Compliant. No data leaks to third-party AI services. Every decision is auditable.
Cost transparency
AI usage is tracked per project, per sprint, per feature, from day one. No surprise bills at the end of the quarter.
Enterprise-proven
Energy. Retail. Logistics. Manufacturing. Built for industries where “it works on my machine” is not an acceptable answer.
Defined and repeatable
The process does not depend on who is assigned to the project. Structured review at every stage means consistent output regardless of team composition.
Not another buzzword
Most teams are using AI tools in some form. What varies is whether that usage is structured, governed, and consistent – or dependent on individual initiative and invisible to everyone else.
What clients typically see
Based on internal benchmarks from enterprise delivery projects
faster from spec to production
more perspectives on every spec and code change
reduction in post-release defects
cost visibility from day one
Where we’ve applied it
Real projects. Real environments. Real results.
voestalpine myAPP reaches 12,000 employees with central information and strengthens cohesion
For voestalpine, Cloudflight created myAPP – a tailored app that connects 12,000 employees worldwide. It delivers central information, safety alerts, and interactive features that make daily work easier and strengthen team cohesion.
From complexity to order: Containex’s end-to-end partner portal solution
Discover how Containex revolutionized its operations and enhanced client interactions by implementing a custom partner portal. This innovative solution not only cuts down on internal effort but also empowers businesses to seamlessly buy and rent modular buildings and containers, setting new standard
