Determine current customer exposures and limit exceptions
How determine current customer exposures and limit exceptions are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Determine current customer exposures and limit exceptions is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no child occupations seeded, this scalar is derived from the APQC lens 'Manage treasury operations' and the process name. Determining customer risk exposures and limit exceptions is entirely information-based, involving financial data analysis and risk modeling. Because this is purely cognitive, software-addressable knowledge work, the process sits firmly in the digital band.
grounded in the economy graph · digital scalar 0.85 · digital
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How the work flows
Trigger: A transaction triggers a limit warning, a customer requests a limit increase, or a scheduled risk review cycle begins.
- Aggregate customer utilization and open exposure data
- Calculate total risk exposure across all active accounts
- Identify accounts and transactions exceeding established limits
- Evaluate risk factors and justifications for limit exceptions
- Approve or deny limit exception requests
- Update the customer risk profile and internal systems
Outcome: Customer exposure is accurately quantified, limit exceptions are adjudicated, and risk parameters are updated in the system.