A task performed by Credit Analysts
Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.
Technically, much of it, experts rate AI capability 3.5/5, but workers don't want it automated (desire 2.56/5). It's an Automation Red Light: proceed with care.
Do you want this task automated?
How much the people who do this task want AI to take it over (avg of 9 workers).
How capable experts rate current AI at this task (avg of 2 experts).
How much human involvement should stay?
The Human Agency Scale (H1–H5) captures how much human direction workers think this task should keep.
Why workers feel the way they do
- Frees up time for higher-value work33%
- It's repetitive22%
- It's stressful11%
- Helps handle larger scale11%
How to automate this
Doable with technology, but keep a person clearly in charge.
Analyzing & processing data
Let the spreadsheet or a BI tool do the math and the charts.
- 1Set up formulas and pivot tables once, so the numbers you need to analyze credit data and financial statements to determine the degree of risk involved in extending credit recalculate themselves.
- 2Connect a free dashboard so reports refresh themselves (Looker Studio, Power BI).
- 3Use AI to summarise the findings, but keep the numbers in the spreadsheet.
Tools that can help
Know a better way, or spot an error?
Share how you automate this in real life, or correct the data. Reviewed before publishing.
This is 1 of 6 tasks studied for Credit Analysts, where workers want 67% of tasks automated.
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