TauIndianBankBench evaluates procedure compliance in indian banking assistants
The authors introduce TauIndianBankBench, a new benchmark designed to evaluate conversational agents that use language models in Indian retail banking. The benchmark contains 1,000 simulated customer interactions that require assistants to follow bank procedures, such as obtaining a closure quote before closing a deposit.
Key points
- Benchmark covers 1,000 Indian retail‑banking tasks that require procedural compliance.
- Only 6.5‑12.0% of sessions succeed when judging only final records.
- Procedure‑aware scoring reveals higher error rates than outcome‑only metrics.
Unlike typical benchmarks that only check the final records, TauIndianBankBench also verifies that every required step is taken and that no unrequested changes are made. For the models tested, only 6.5‑12.0% of sessions are judged successful when the evaluation relies solely on the final records, even though the assistant may have skipped a step or made an unrequested change.
By scoring both procedure compliance and outcome accuracy, the benchmark provides a more realistic picture of how well language‑model assistants perform in a regulated banking environment. The study suggests that current models may appear competent under outcome‑only metrics but can still violate procedural rules, highlighting a gap that future research and development must address.
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