Here is a question worth sitting with for a moment: how many of India’s 1.4 billion people do you think are waiting to feel understood in a language that is actually theirs? The answer is most of them. And most customer operations teams are still making them wait.
India has 22 officially recognised languages. It has hundreds of dialects layered underneath those. It has a population that is digitally active, commercially aspirational, and spread across geographies where the dominant language changes every few hundred kilometres. It also has a business community that, when designing its customer experience, tends to default to the same two options: Hindi or English.
This is not a cultural observation. It is a commercial problem. And for the companies expanding beyond metros into the markets that are actually driving India’s growth in 2026, it is becoming an expensive one.
You should Also Read This Report : The Customer Who Left Last Quarter Was Worth Far More Than You Calculated. Here’s the Maths
The Market Has Moved. The Customer Experience Has Not. Multilingual Customer Support
Tier 2 and Tier 3 markets accounted for 60% of incremental gross merchandise value in FY2026 compared to FY2025. That is not a rounding error or a footnote in a category report. It is the primary signal about where Indian consumer growth is happening and where it will continue to happen.
These are not markets that are warming up to brands. They are markets with smartphone penetration above 70%, with UPI as the default payment behavior, with consumers who have moved from first-time digital users to confident repeat buyers in under five years. They are, in other words, customers. Fully formed, commercially active, brand-aware customers.
What they are not, in large numbers, is English-first.
In 2026, more than 60% of digital search queries in India are in regional languages or via voice, with Hindi, Tamil, Telugu, Bengali, and Marathi dominating queries in FMCG, healthcare, and financial categories. These same people, browsing and searching and transacting in their own languages, are then expected to navigate customer service, resolve complaints, renew policies, and handle collections conversations in Hindi or English. The gap between how they engage with the world and how your customer operations team engages with them is the gap where trust quietly bleeds out.
Research shows that 70% of consumers are more likely to remain loyal to a brand if support is provided in their primary language, and that even minor linguistic barriers can lead to a 40% drop in conversion and a 50% increase in churn rates in non-English-speaking markets.
Read that last figure again. Fifty percent. Not a marginal statistical variance. Half your potential customers, walking out because the conversation did not meet them where they actually are.
Language Is Not Translation
This is where most companies get it wrong, and where the distinction matters most commercially.
Multilingual customer operations is not a translation exercise. Running your existing script through a language conversion and assigning it to an agent who can technically speak Tamil is not the same as running an operation with genuine Tamil-language capability. The difference between those two things is audible in the first thirty seconds of a call, and customers know it immediately.
Someone comfortable enough to browse in English may still want to resolve a billing dispute in Tamil or Marathi. That distinction is at the heart of customer support in India. It determines how quickly issues get resolved and whether the experience leaves someone confident or frustrated.
Language competence in customer operations operates in layers. The first is vocabulary: the agent uses the right words. The second is fluency: the agent speaks naturally, without the audible effort of someone working in their third or fourth language. The third, and most commercially significant, is cultural register: the agent understands not just what to say but how to say it in a way that the customer receives as familiar, respectful, and trustworthy.
In Tamil Nadu, a collections conversation conducted with the specific formality that the cultural context requires produces a meaningfully different outcome from the same conversation conducted in a generic South Indian register. In Maharashtra, a renewal call that acknowledges the specific financial concerns prevalent in that market lands differently from one designed for a pan-India average. In Punjab, a sales conversation that reflects the direct, commercial frankness that characterises business communication there closes at a higher rate than one that sounds like it was scripted in a Mumbai conference room.
None of this is regional stereotyping. It is the operational reality of a country where language and culture are so intertwined that separating them in a customer conversation is not just technically difficult. It simply does not work.
The Industries Where This Costs the Most
The stakes of getting multilingual operations wrong are not uniform across industries. In categories where the customer relationship involves financial complexity, long-term commitment, or the kind of trust that is built slowly and broken quickly, the cost of a linguistically mismatched conversation is highest.
In life insurance, a renewal conversation in a customer’s primary language does not just improve conversion. It addresses a specific anxiety that many policyholders in non-metro markets carry: the sense that they signed something they did not fully understand and are being asked to keep paying for it. An agent who can speak to the policy in the customer’s own language, in the register that makes the terms feel clear rather than opaque, is not merely completing a transaction. They are rebuilding the trust on which persistency depends.
In banking and lending, the collections conversation that happens in a customer’s native tongue is one where the customer is more willing to engage with a resolution, more likely to disclose the real reason for the payment difficulty, and more receptive to a repayment arrangement that they will actually honour. A borrower who struggles to understand the agent, or who feels condescended to by a conversation conducted in a language they are not fully comfortable with, defaults to avoidance. The outcome deteriorates not because the customer is unwilling to pay but because the conversation did not create the conditions for willingness.
In telecom, the customer calling with a complaint about billing or service quality is a customer at peak frustration. Their capacity for navigating a language barrier at that moment is approximately zero. The agent who addresses that frustration in the customer’s own language, with the specific idiom and tone that reduces emotional temperature rather than raising it, produces a first-call resolution at a rate that a linguistically mismatched interaction simply cannot match.
In Tier 2 and Tier 3 cities, consumers are dramatically more comfortable in regional languages than English, and many are only marginally comfortable in standard Hindi. A service interaction conducted in a non-fluent language does not just inconvenience the customer: it produces systematic comprehension errors and leaves them with a fundamentally different, and worse, experience of the brand.
For FMCG and consumer durables brands, the dealer and distributor relationship carries a similar dynamic. A company with a dealer network spanning eight states is managing eight distinct commercial cultures. The dealer in Ahmedabad who receives product updates, stock queries, and complaint resolutions in their own language has a meaningfully different relationship with the brand than the one who is served through a centralised Hindi-language helpline staffed by agents who are reading from a script that was designed for a different market entirely.
Why AI Translation Does Not Solve This Problem
At this point in any conversation about multilingual operations, someone in the room will ask about machine translation. Why not use AI to translate in real time and run a single-language agent operation?
The honest answer is that real-time translation technology has improved substantially and continues to improve. For certain categories of customer interaction, particularly written digital communications with relatively simple, predictable content, it adds genuine value.
For voice-based customer operations in India, especially in the industries where the stakes are highest, it is currently insufficient for one reason that no amount of model sophistication entirely resolves: emotional register. The customer whose insurance policy has just lapsed is not conveying information to your agent. They are conveying anxiety, often shame, frequently defensiveness. The agent’s ability to receive that emotional content and respond to it in kind requires not just linguistic accuracy but cultural intuition. The specific phrase in Kannada that softens a collections call. The particular acknowledgement in Bengali that signals genuine respect rather than scripted sympathy. The way a skilled Marathi-speaking agent structures a pause in a difficult conversation so the customer knows they have been heard.
These are not translation problems. They are empathy problems. And the solution to an empathy problem is a person who has grown up with the cultural context to feel what is required, not a model that has been trained to approximate it.
This is not an argument against AI in multilingual operations. It is a precise argument for where AI belongs in them: handling the structured, predictable, high-volume interactions where accuracy matters most, while the conversations that require cultural fluency remain with humans who actually have it.
What Thirty-Two Years of Pan-India Operations Sounds Like
Building genuine multilingual capability is not a hiring exercise that can be completed in a quarter. It is the cumulative result of operating across India’s regional markets for long enough that the institutional knowledge of how those markets communicate becomes embedded in how you run your teams.
At Tele Access, we have been running pan-India, multilingual customer operations for over three decades. Our capability spans the languages of the markets we serve: the financial services heartlands of Maharashtra, Gujarat, and Punjab; the insurance-dense markets of Tamil Nadu, Karnataka, and Andhra Pradesh; the rapidly expanding FMCG and telecom markets of the north and east. We recruit regionally. We train regionally. Our quality frameworks are calibrated to the specific communication standards of each language community we serve, not to a single national benchmark that flattens cultural difference into statistical noise.
Communicating in a market like India today requires hyper-personalisation that is mobile-first and increasingly driven by regional culture, with emotional storytelling and cultural understanding remaining as critical as scale and technology. This is not a principle we need to discover. It is something we have been practising since before the phrase was coined.
The client that comes to us because they want to reach south India from a Delhi base, or because their collections portfolio spans six states with six distinct linguistic profiles, or because their insurance renewal book includes policyholders in markets where their current team has no authentic language coverage: these are conversations we have regularly, and they are conversations that always end with the same finding. The limitation is never strategy. It is the operational absence of people who can speak to the customer in a way that actually works.
The Commercial Case Is Simple
The growth markets of India in 2026 are not metro markets. They are Tier 2 and Tier 3 cities where consumers are digitally active, financially aspirational, and accustomed to operating primarily in their own languages. In non-metro India, trust is built through language, creator familiarity, proof, and post-purchase communication. Of those four trust-builders, your customer operations team is directly responsible for the first and the last.
A national brand that deploys a single-language customer experience across a linguistically diverse market is not running a pan-India operation. It is running a metro operation and hoping the rest of India speaks it back.
The companies that understand this, and that invest in the multilingual operations infrastructure to serve the markets they claim to be addressing, will find that the commercial difference between a customer experience that speaks one language and one that speaks many is not measured in satisfaction scores.
It is measured in renewals. In collections recovery rates. In cross-sell conversion. In the kind of loyalty that builds in markets where personal trust, once established, is remarkably durable.
The language in which you speak to your customer is not a feature of your customer experience.
