IT Services with AI
Fast, good, cheap — pick two. Sound familiar? With AI, a small team can deliver all three for the first time. There is one condition: business and developer sit close. In small companies they usually do.
What Does AI Amplify?
AI writes code fast. But results come fastest where a business specialist and a developer work side by side and understand each other easily. Small companies are often set up that way. So a small team with AI does in weeks what used to take months. Larger companies find that closeness harder to copy.
So Who Decides What's Right?
AI writes code and tests fast. But what counts as a correct calculation or a correct scenario isn't in the code or the logs. It's a decision, and your key specialist makes it.
We turn those decisions into automated tests. One AI agent writes the tests, another writes code that must pass them. If something drifts, the build fails right away. And the same tests produce documentation that changes along with the system.
What Changes for the Team?
- Two or three people from two partner organizations, with AI, handle a workload that used to need a department.
- AI takes on documentation, tests, and routine code. People get time for decisions.
- AI helps read inherited code, so old systems are easier to take over.
- Your business specialists stay on the team, not replaced by a vendor or pushed aside.
Has Anyone Tried This?
Yes. Two developers with long experience in billing, CRM, and business processes built four business apps on a shared codebase in 5 days. They are prototypes, but made by people who previously delivered production versions of such systems to large clients. This way of working seems ready.