01 / RESEARCH FINDING

What the source reports

Interviews with 65 AI/ML practitioners highlighted unclear goals, unsuitable data, technology-led decisions, missing infrastructure and tasks beyond available capabilities.

02 / OUR INTERPRETATION

What it means for an assessment

Start with the business problem, baseline, usable data and an accountable process owner. Compare simpler alternatives.

03 / LIMITS OF THE EVIDENCE

What needs caution

Qualitative interviews, not a measured failure rate. Projects merely using pretrained language models were excluded.

A question to bring to the client case

Can the proposed case be described without naming an AI technology? State the problem, the desired outcome, available information and process owner. Then compare solution routes. These foundations help assess whether an investment is justified and what domain knowledge the implementer would need.

The practical interpretation is Versta’s. The linked source provides the research evidence; suitability and expected value must be assessed for the customer’s own circumstances.