04 Focus area
Commercial development and execution
The business can see several improvement opportunities – including AI – but does not know where it actually creates value, or what should be done first.
Typical challenges
There are many initiatives and ideas, but too little shared prioritisation for the changes to deliver the intended effect. AI is often discussed without being tied to concrete work processes, data, competence and business value.
How Row can help
We help you choose one concrete problem, test a defined improvement and measure the effect. Where AI is relevant, we map work processes, people, data and governance to find where it can actually improve the work. This is not general AI training or technology maturity on its own.
When this is often relevant
When many initiatives compete for the same capacity, when commercial direction is unclear, or when you want to use AI without knowing where it creates value.
What the work can include
- prioritising commercial friction
- work processes and ownership
- data, competence and governance
- practical use cases
- business value and measurement
- a defined test of one problem