AI & Intelligent Systems
AI when it belongs. Engineering when it doesn't.
AI is a powerful engineering capability. It is not a requirement for every system.
Chosen for the problem, not the trend.
We use AI where it can create meaningful value, whether that means intelligent product features, automation, language models, data systems or new ways of working.
We deliberately avoid it where it adds unnecessary complexity, risk, opacity or loss of control. Some systems need intelligence. Others need determinism, transparency, reliability or human judgement.
Deciding which is which is part of the engineering.
- AI product features in new or existing systems
- LLM integration
- Intelligent workflows and automation
- Data and ML experimentation
- Production AI engineering
- Human oversight and operational controls
Further reading
Our thinking on when AI is the right tool, and when it is only the fast one.
Read: Before you build