Skip to content

ACCA Strategic Professional · Strategic Business Leader · Machine learning, AI and robotics

Norvik Logistics is considering an AI route-optimisation system costing a large upfront sum. Benefits are expected from lower fuel use and fewer late deliveries, but the model depends on data quality from ageing vehicle sensors and drivers fear job losses. Which response best shows a balanced strategic evaluation?

The best response is to evaluate benefits against data readiness, workforce impact and change management, and to pilot before full rollout. This tests whether the AI delivers value, manages poor sensor data and staff resistance, and avoids both uncritical adoption and blanket rejection.

  1. AAssess benefits against data readiness, workforce impact and change management, and pilot before full rolloutCorrect
  2. BAdopt immediately because AI always lowers costs
  3. CReject it because any workforce concern outweighs financial benefits
  4. DOutsource all decisions to the supplier and avoid internal involvement

Explanation

A balanced evaluation weighs expected benefits against risks: poor data quality undermines results, and staff resistance threatens adoption. A pilot plus change management reduces risk. The other options are absolute or abdicate responsibility.

Did you get it right without looking?

One question tells you little. A timed set on Machine learning, AI and robotics shows your real accuracy, how long you take and where you lose marks.

More Machine learning, AI and robotics questions