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AI-accelerated delivery
AI speeds up every step. Our experts validate each one.
Our teams use AI from scoping to maintenance. You save time without sacrificing quality, security or control over your application.
Our method, step by step
Scoping
Workshops with your teams, analysis of your documents and processes.
AI: document summaries, first user stories. Experts: priorities and trade-offs.
Design
Data model, user journeys, architecture and integrations.
AI: draft data models and mockups. Experts: technical choices, security.
Development
Short sprints, regular demos, stand-ups and retrospectives.
AI: code and logic generation (Claude Code, Mendix Maia, agents via MCP). Experts: every delivery reviewed.
Testing
Functional, performance and security testing.
AI: generated test cases. Experts: QA and acceptance with you.
Go-live
Deployment, monitoring, documentation.
AI: generated documentation. Experts: compliance and governance.
Ongoing improvement and training
Maintenance, new features and team training.
AI: usage analysis. Experts: a roadmap built with you.
What the research says
AI delivers real gains, but they depend on the method and on the expertise of the people using it.
| Study | Result |
|---|---|
| Microsoft Research, GitHub and MIT, controlled trial, 95 developers (2023) | Programming task completed 55.8% faster with an AI assistant |
| Google, controlled trial, 96 engineers (2024) | About 21% faster on a real enterprise task |
| METR, controlled trial, 16 experienced developers (2025) | Slower with AI when it is poorly integrated into the workflow: the tool alone is not enough |
Sources: arXiv 2302.06590; arXiv 2410.12944; METR, July 2025.
Read also: AI, Low-Code and Automation — how AI, low-code and automation combine to speed up application delivery.
Find out how much time AI can save on your project
30 minutes with an expert to assess your needs.