Brilo AI supports Punjabi for AI phone agent calls when your account plan and configured speech components include Punjabi for both automatic speech recognition (ASR) and text-to-speech (TTS). The voice agent can listen for Punjabi, map recognized text to intents, and respond using a Punjabi synthetic voice model where available. Availability depends on your account’s enabled voice providers, locale settings, and any custom phonetic lexicon entries you add. Test calls in the Brilo AI dashboard are the recommended way to confirm behavior before production.

Enterprises ask about Punjabi language support because phone support often needs to match caller language and regional accents for compliance and customer experience. Banking, insurance, and healthcare teams need clarity on whether the Brilo AI voice agent will correctly understand Punjabi customers, produce Punjabi output, and integrate with existing workflows. Buyers also want to know what configuration, testing, and guardrails are required before routing real customer calls to an automated Punjabi-capable agent.

When you enable Punjabi support in Brilo AI, the voice agent uses ASR to transcribe spoken Punjabi into text, applies intent and slot extraction, and returns spoken replies via TTS in Punjabi where a voice model is available. Language detection (locale selection) can be set per agent or dynamically chosen at call start. Brilo AI exposes configuration for the agent’s spoken language, the TTS voice, and phonetic lexicon entries to handle names or domain terms.

In Brilo AI, spoken language is the configured audio locale the agent uses to recognize and generate speech for calls.

In Brilo AI, a voice model (TTS voice) is the synthetic speaker selected to produce audible responses in a given language or accent.

In Brilo AI, an ASR confidence score is the runtime metric the system uses to decide whether to trust automatic transcription or trigger a clarification or human handoff.

Brilo AI’s Punjabi support should be used with explicit guardrails to avoid misunderstandings and compliance risks. Brilo AI is not a substitute for specialist human agents in clinically sensitive or high-risk financial decisions; configure escalation rules when confidence scores are low or when protected information is requested. Set limits on permitted actions (for example, no balance transfers or no policy changes) until a verified human is engaged. Monitor recognition accuracy with test calls, and add phonetic lexicon entries when Punjabi names or domain-specific terms are misrecognized.

In Brilo AI, an escalation trigger is a configured rule that routes a call to a live agent when predefined conditions (like low ASR confidence or an escalation intent) are met.

Brilo AI workflows can hand off to a human agent or another workflow when configured. Common handoff triggers include low ASR confidence, detection of keywords that indicate fraud or medical urgency, or explicit customer requests for a human. Handoff can pass a summarized transcript, detected intents, and confidence scores to the receiving agent or to your CRM via webhook. Configure routing rules in the Brilo AI dashboard to define which queues or webhook endpoints receive handoffs.

For more detail on available languages and voice configuration, see the Brilo AI language support documentation: What languages does the AI voice agent support?

Supporting Punjabi with Brilo AI can reduce wait times for Punjabi-speaking callers, increase self-service rates for routine inquiries, and improve customer satisfaction by providing native-language responses. Organizations gain predictable routing and clearer triage: routine tasks are automated while higher-risk or compliance-sensitive calls are routed to humans. Real outcomes depend on proper configuration, testing, and monitored rollouts.

Does Brilo AI automatically detect Punjabi or do I need to set it manually?

Brilo AI can use language detection to pick the caller’s spoken language at call start, but many deployments set the agent’s spoken language explicitly to Punjabi for consistent behavior. Test both approaches to see which works best for your caller base.

Will Brilo AI understand regional Punjabi accents and dialects?

Brilo AI’s speech recognition includes accent handling improvements, but performance varies by accent and audio quality. Improve recognition by adding phonetic lexicon entries and running representative test calls to tune the agent.

Can I add custom Punjabi phrases or domain-specific vocabulary?

Yes. Add phonetic lexicon entries and custom utterances to your Brilo AI knowledge configuration to improve recognition and response accuracy for domain-specific terms.

What happens if the Punjabi ASR confidence is low mid-call?

When ASR confidence falls below your configured threshold, Brilo AI can ask clarifying questions, repeat the transcription for confirmation, or trigger an escalation to a human agent based on your routing rules.

Does Brilo AI translate between Punjabi and other languages on calls?

Brilo AI supports multilingual workflows; translation may be available when configured, but you should validate translation quality for regulated communications and sensitive contexts before enabling automatic translation in production.