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Solution
Luma Analytics built a provision benchmarking agent that triggers automatically after each quarterly provision model run. The agent monitors RBNZ data releases and peer bank disclosure statements, extracts and structures key IFRS 9 metrics across the peer group, and populates an interactive benchmarking tool. This gives the credit risk team on-demand analysis of economic scenarios, scenario weightings, provision coverage ratios, and impairment rates across the full NZ peer banking group - with period-on-period comparisons and bank-level filtering built in for Risk Committee and Board sign-off workflows.
Outcomes
The quarterly benchmarking process that previously consumed significant analyst time now runs automatically, delivering a fully populated, board-ready benchmarking output the moment the provision model completes. The team can now focus on interpreting the analysis rather than producing it, with full data lineage maintained back to source disclosure statements for audit purposes.
Featured Results
- Quarterly peer benchmarking fully automated across 8 NZ banks
- Scenario weightings, coverage ratios and impairment metrics extracted and structured automatically
- Interactive benchmarking tool deployed for Risk Committee and Board sign-off
- Manual collation of RBNZ and bank disclosure statement data eliminated
- Period-on-period comparisons and bank-level filtering available on demand
