Serve people in their preferred language across WhatsApp, web chat and voice. One governed AI layer that recognises local phrases, mixed-language messages and context — designed for global brands, regional teams and modern compliance expectations.
Designed for global and regional teams that want to welcome customers in their language, reduce call pressure and keep journeys aligned with GDPR, CCPA and local telecom rules — without rebuilding their entire stack.
It’s a set of AI assistants that understand and respond in multiple languages across your channels. They handle routine conversations, route complex cases to humans and keep records aligned with your compliance and brand standards.
Recognises common global languages — for example English, Spanish, Portuguese, French, Arabic, Hindi and more — plus everyday mixed-language messages, and maps them to the right intent and journey.
Answers common questions, checks basic account or order details, explains products, routes tickets and books callbacks — while sticking to your approved scripts and policies per region and language.
One multilingual AI layer that powers WhatsApp journeys, website chat, in-app chat and voicebots or IVR, giving customers a consistent experience no matter where conversations start.
You stay in control of tone, terminology and where AI is allowed to answer. Human teams handle sensitive cases, escalations and final decisions.
Many markets are multilingual and multicultural. Many customer journeys are not. Multilingual AI closes that gap.
Websites, WhatsApp flows and IVR menus often assume one language for everyone. Multilingual AI lets people ask and receive answers in the language they are most comfortable using day-to-day.
Agents repeat the same information in different languages all day. AI handles high-volume FAQs and routine tasks so people can focus on complex and sensitive calls that need human judgement.
Ad-hoc translations, legacy PDFs and untracked changes create risk. AI centralises approved content and maintains up-to-date multilingual responses across all channels and markets.
Behind the scenes, it’s a combination of language understanding, your content and your rules — delivered through chat and voice.
The assistant detects which language a person is using (or mixing), identifies what they are asking for and checks for keywords like balance, billing, order status, booking or results — per region and brand.
It pulls from your knowledge base, price lists, policies and scripts, then responds in the chosen language using your approved tone. Sensitive answers and disclosures can require human review before being sent.
The same multilingual logic powers WhatsApp flows, web chat widgets and voicebots. For complex issues, it passes full context to a human agent or AI caller for follow-up, including a summary in the agent’s language if needed.
Everything is logged for reporting and audit: languages used, intents, outcomes and whether the issue was resolved by AI or escalated to a person.
A practical foundation that combines language skills, your content and clear governance across regions.
Define which journeys matter most: account queries, payment plans, delivery updates, public service information, admissions, HR queries and more — plus KPIs for each territory and channel.
Configure which languages to support, the tone to use per audience and how to handle formal versus informal phrasing, regional variants and brand-specific vocabulary.
Centralised FAQs, policies, tariffs and service descriptions, with multilingual versions where needed and clear ownership for updates and approvals over time across markets.
Secure links into your CRM, ticketing, billing and case systems so AI can check balances, log cases, update contact details and pass context to agents and AI callers in real time.
Rules that decide when AI can respond directly, when it should summarise for an agent and when it must route the conversation to a human immediately — per topic, risk level and geography.
Real conversations feed back into improvements: new phrases, better translations and updated content as your products, regulations and customer expectations evolve.
You don’t have to switch everything on at once. Most teams move through these stages as comfort and impact grow.
AI suggests multilingual replies and translations for human agents, who stay in full control of what is sent while building up trusted content in each language and region over time.
AI handles clear FAQs and low-risk requests in multiple languages, and passes complex or emotional cases to live agents with a full summary of the conversation so far and the customer’s language preference.
Within agreed thresholds, AI can resolve standard queries, send confirmations and trigger workflows end-to-end in local languages, while still escalating edge cases and complaints to people.
Practical multilingual use cases across private and public sectors — from sales and support to collections and HR.
Answer product questions, stock queries, delivery updates and returns in local languages on WhatsApp and web chat, increasing conversion and reducing abandoned baskets across markets.
Explain statements, payment options and collections journeys in a respectful, multilingual way. Combine with AI callers for voice journeys that match each customer’s language preference.
Support bookings, changes, check-in, loyalty and disruption updates in multiple languages for travellers and riders, across time zones and channels, without overloading your teams.
Give residents 24/7 access to service info, account queries and outage updates in local languages across WhatsApp, web and kiosks, with routing to staff where needed for more complex cases.
Help staff navigate leave, payslips, benefits and policies in the languages used on the ground, while feeding complex cases to HR with full context for faster, more empathetic resolution.
Support students with application info, timetables, funding FAQs and campus services in local languages — including WhatsApp-first journeys for colleges, universities and online programmes.
Multilingual AI must protect trust, not erode it. Governance is part of the design, especially when working across borders.
Control which teams and AI assistants can access personal data, balances, IDs or case details. Sensitive information is restricted, encrypted and logged by default with clear responsibilities.
Only the fields needed for a given conversation are exposed. High-risk attributes can be masked, tokenised or avoided entirely, supporting GDPR- and CCPA-style minimisation principles.
Respect channel consents, opt-outs and quiet hours across WhatsApp, SMS, email and voice, aligned with local rules on direct marketing, messaging frequency and contact preferences.
Conversations about legal, medical, credit, vulnerable customers or sensitive personal issues can trigger automatic escalation to trained staff, with AI limited to routing and summarising only.
Logs cover languages used, topics, resolutions and handovers, making it easier to evidence fair treatment, track complaints and respond to internal or external reviews and regulators.
Data flows, retention, access and messaging logic are designed with major privacy frameworks and regional telecom requirements in mind from day one, not bolted on later.
A low-drama path that lets you prove value and refine language coverage before scaling to more regions.
Pick one or two priority journeys (for example, WhatsApp support or ecommerce FAQs) and the regions and languages where they will run first, plus clear KPIs and guardrails for success.
Gather existing FAQs, scripts and notices. We work with your teams to build glossaries, preferred phrases and tone guidelines for each language group and brand family.
Integrate WhatsApp, web chat, IVR or voice, plus CRM, ticketing and billing where relevant, so multilingual AI can read and write context safely and consistently across tools.
Build journeys, language detection rules, escalation paths and approval flows, then test with internal users and selected customer or partner groups in each region.
Run in parallel with existing processes, benchmark containment, CSAT, handle time and agent workload, and refine content and language coverage based on real conversations and outcomes.
Roll out to more regions, languages and journeys, with regular reviews on metrics, risk, customer feedback and local stakeholder input to keep the system aligned with reality.
Short answers for CX, digital, operations and compliance leaders exploring multilingual AI across regions.
We’ll help you design multilingual AI for WhatsApp, chat and voice that feels local, protects trust and proves its value on real KPIs before you roll it out wider across regions.
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