Before live data
Potential need, gap or conflict.
Customers write naturally in their own language. Agents see the original and translation, reply in their own language, and the customer receives the translated answer.
Detect language, allow override, answer in the selected language, keep approved facts consistent and support switching mid-conversation.
Store the original, show agent translation, let the agent reply in their own language, translate back and surface uncertainty safely.
Potential need, gap or conflict.
Frequency, growth, stage and outcome.
Baseline vs comparable post-fix evidence.
RTL must mirror navigation, alignment, message flow and directional icons—not just strings.
Illustrative demo: English 761 conversations / 92% coverage, Arabic 387 / 74%, Hindi 100 / 68%. Language failures require root-cause analysis, not automatic translation blame.
Free scan. No installation. No credit card.