Approach · enterprise CRM example
This is how we build a complex CRM with AI. Specialists steer and an orchestrator divides the work among AI agents. You have a say at every decision point.
An illustration of how we work, not a client case. Roles may be filled by one person or by regular partners.
Agents do most of the hands-on work: summarising, developing designs, writing code, testing and documenting. An orchestrator hands out the tasks.
Experienced people lead the conversations, make the decisions and review everything before it moves on.
You make the call at the fixed decision points. Your product owner sets the priorities. After every sprint you see working software.
Foundation
Vibe coding and building properly with AI share one thing: AI does the work. The difference lies in two questions. Does someone understand the code, check it and take responsibility for it? And is the system built to last for years?
AI writes the code and nobody really reads it; you only check whether it seems to work and steer with new prompts.
Fine for a prototype, a proof of concept or a one-off tool. It becomes a risk once an organisation starts relying on it.
Also built with AI, but on a foundation of requirements, architecture, security, tests and review, controlled releases and documentation. Specialists understand every change and stand behind it.
Much of the speed of AI, on foundations an organisation can depend on. Every change goes through automated tests and a specialist's review.
What you get
You won't see the difference in the demo, only in everything that follows.
Want to start a project like this? Tell us what you need in the intake.
