Languages We Staff

Language capability, explained plainly

RHI provides multilingual customer support from India. Our standing staffed capability covers Hindi, Hindi-English bilingual, English, Bengali, Nepali and Punjabi. Additional regional Indian languages can be recruited on request where the volume, lead time and quality-review arrangement make the service realistic.

This page is deliberately written as an operational guide rather than a language list. A customer support language is not useful because it appears on a website. It is useful when agents can be recruited, trained, supervised, quality-reviewed and rostered reliably across the channels your customers use.

That is why we separate standing capability from on-request capability. Standing languages are ones we can discuss as part of normal support-team design. On-request languages require planning, recruitment and confirmation before they should appear in a proposal or service-level commitment.

Standing languages

Hindi, Hindi-English bilingual, English, Bengali, Nepali and Punjabi are the core language options we present for launch planning. These are commonly used across Indian customer bases, diaspora customer groups and mixed-language support environments where customers may switch between languages during the same conversation.

Hindi support is often the base for Indian domestic operations. English support is used for international markets and Indian customers who prefer English. Hindi-English bilingual support is frequently the practical answer when customers mix spoken Hindi, English product terms and Roman-script typing. Bengali, Nepali and Punjabi are planned where the customer data shows enough demand to staff them responsibly.

On-request regional languages

Marathi, Gujarati, Tamil, Telugu, Kannada, Malayalam, Assamese and Odia are treated as on-request languages until there is enough evidence to build a dedicated page for each. That does not mean they are unimportant. It means we will not imply permanent staffing depth without confirming recruitment, training material, escalation coverage and linguistic QA.

For these languages, the first step is usually a volume review. If demand is light, it may be better to handle the language as scheduled coverage, callback support, specialist escalation or a launch phase after the core team is stable. If demand is substantial, we can plan recruitment and quality review as part of the implementation.

Recruitment and language testing

Every language role needs testing against the actual channel. Voice candidates are assessed on listening and spoken clarity. Written candidates are assessed on comprehension, tone, case notes and template adaptation. Bilingual candidates are assessed on switching naturally rather than translating word for word.

We also test ordinary support discipline: verification, data handling, escalation judgement, attendance, documentation and coachability. Fluency alone is not enough. A customer support agent must protect the process as well as understand the customer.

Linguistic QA

Language quality review needs reviewers who understand the language being reviewed. An English-only scorecard cannot reliably tell whether a Bengali, Nepali, Punjabi or Hindi explanation was clear, respectful or idiomatic. It can measure process steps, but it misses the part the customer actually hears.

Our approach is to combine process QA with linguistic QA. The process score checks verification, resolution, notes and escalation. The language score checks register, clarity, script choice, translation of product terms, and whether the response would make sense to a real customer using that language.

Localisation and glossaries

Good multilingual support uses a shared glossary. Product names, policy terms, refund language, account statuses, address terms and compliance phrases need consistent treatment. Without that, each agent invents their own version and customers receive different explanations for the same issue.

We build glossaries from client material, live contact examples and quality feedback. The glossary is not a static translation sheet. It changes when customers use new phrasing, when a policy changes or when quality review shows that an explanation is technically correct but hard to understand.

Bilingual escalation

Bilingual escalation is the bridge between the customer's language and the client's internal team. Where a case must move to an English-speaking specialist, the agent writes an English summary of the issue, what the customer said, what has already been checked and what decision is needed. The customer should not have to repeat the full story because the case changed language.

Language planning also affects reporting. A useful report shows contact volume by language, channel, queue and time period, not only total volume. That is how a client can see whether Bengali demand is growing, whether Hindi-English contacts take longer than English-only contacts, or whether an on-request regional language should become a staffed queue.

For written channels, reporting should separate language from script where possible. A customer typing Hindi in Roman script is not the same operating problem as a customer typing formal Devanagari. The same is true for other Indian languages where customers may use mobile keyboards, phonetic spelling or English product terms.

Language capability should also be reviewed after launch. If customers keep switching from one language into another, that is evidence about the actual service mix. If one language has a higher repeat-contact rate, the issue may be training, authority limits, glossary quality or a shortage of senior escalation cover rather than agent effort.

Those findings should feed the next roster and training plan, because language demand changes as customers learn what support is available.

How to scope a language launch

The most useful inputs are recent contact transcripts or call reasons, expected language split, coverage hours, system access requirements, escalation owners and any approved terminology. If the language split is unknown, the first step may be measurement rather than recruitment. Guessing the mix can lead to an overstaffed language in one queue and missed demand in another.

We also confirm whether the client needs the agent to speak only, write only, or handle both. A person who is excellent on voice may not be the strongest written-support agent, and a formal writer may sound unnatural on a live call. Treating those as separate skills makes the team more reliable.

What to measure after launch

After launch, the useful language measures are practical: contacts by language and channel, resolution rate, repeat contact, transfer rate, quality score, customer feedback and the number of cases needing bilingual summary. Those measures show whether the language plan is reducing friction or merely moving work between queues.

We also watch for hidden demand. Customers may start in English because they assume support is English-only, then switch when they hear their language is available. That does not mean the original language forecast was wrong; it means the service made the preference visible.

For on-request languages, those measurements are often the evidence needed to decide whether a separate queue is justified. Until then, we keep the promise modest and operationally honest.

Read next: Hindi customer support, Hindi-English bilingual support, English support, or talk to us about language coverage.