Use cases

Where agent failure costs the most

Built for mid-market teams in fintech, BFSI, healthcare, insurance, e-commerce, SaaS and contact centers.

Banking & Fintech voice bots

The problem

A card-blocking or KYC flow that fails under accent, noise or interruption becomes a compliance issue, not just a bug.

What QuCe tests

Identity verification, transaction intents, silence and retry handling, multilingual handoffs, PII redaction.

PII leakage incidents before release: 0 · illustrative

Insurance claims agents

The problem

Claims conversations are long, emotional and branch on policy details that scripted tests never reach.

What QuCe tests

Multi-turn claim intake, amendment flows, policy-boundary refusals, empathy and tone rubrics.

Claim-intake task success: 94/100 · illustrative

Healthcare appointment & IVR agents

The problem

Patients reschedule, go quiet, and switch language mid-call. Missed context means missed appointments.

What QuCe tests

Reschedule and cancel paths, DTMF fallbacks, silence recovery, PHI-safe responses.

Context retention across 8-turn calls: 92% · illustrative

E-commerce support chatbots

The problem

Refund and return policies change weekly; the bot's answers don't. Customers find out first.

What QuCe tests

Policy-grounded answers, hallucination rate, order-lookup tool calls, off-topic drift.

Hallucination rate: 0.8% · illustrative

BPO & contact-center IVR replacement

The problem

Replacing a DTMF IVR with a voice agent only works if every legacy branch still resolves.

What QuCe tests

Branch-by-branch parity vs. legacy IVR, barge-in, poor-line resilience, load-adjacent flakiness.

IVR branch coverage: 100% of mapped paths · illustrative

Internal LLM workflows

The problem

Internal copilots take real actions — refunds, tickets, lookups — with no test discipline around them.

What QuCe tests

Tool-use correctness, prompt injection resistance, groundedness against internal docs.

Prompt injection resistance: 98.2% · illustrative

Metrics shown are illustrative sample data, not customer results.