Implementation BlueprintExecution layer

Sarvam Multilingual Voice Agent Retainer (7-10 days)

A productized Sarvam deployment that puts a Hindi or regional-language voice agent on a client's existing phone or WhatsApp line, billed as a monthly retainer with usage passed through at Sarvam's published rates. Time: 7-10 days.

By InnovaAI ResearchPublished

AI Voice Agent

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Blueprint

Sarvam Multilingual Voice Agent Retainer (7-10 days)

A productized Sarvam deployment that puts a Hindi or regional-language voice agent on a client's existing phone or WhatsApp line, billed as a monthly retainer with usage passed through at Sarvam's published rates.

Prerequisites
  • Sarvam API subscription key issued and the Python SDK installed via 'pip install sarvamai'
  • Client's top 10 FAQ scenarios written out in the target Indic language, plus a named human fallback contact
  • Access to the client's phone number or WhatsApp Business account for routing the agent
  • A usage estimate from the client: expected call minutes per month and average characters per response
  • Confirmation that the client's customers actually speak the target language, since Sarvam's value collapses in English-only markets
Execution Timeline
  • 1.Register the Sarvam API subscription key and install the SDK with 'pip install sarvamai'
  • 2.Validate Text to Speech, Speech to Text, Translation, and Document Digitisation endpoints with small test payloads to confirm auth and output formats
  • 3.Record the response shape of each endpoint so the client integration does not break on format surprises
  • 1.Map the client's top 10 FAQ scenarios to Sarvam voice agent intents
  • 2.Choose the target language from Sarvam's text-to-speech coverage of 11 Indic languages
  • 3.Draft the fallback script for queries the agent cannot resolve
  • 1.Build the minimal integration against the REST API or SDK for the chosen use case
  • 2.Wire the agent to the client's phone number or WhatsApp Business account
  • 3.Test inbound call pickup and confirm the agent answers in the correct language
  • 1.Configure the confidence threshold that triggers fallback routing to a human agent
  • 2.Run 20 scripted test calls covering the FAQ list plus two off-script questions
  • 3.Log every failed transcription and adjust the prompt or intent mapping
  • 1.Connect the agent to the client's booking or order system if the use case is appointment booking or cart recovery
  • 2.Verify that captured data lands in the client's system in a usable format
  • 3.Set up a daily transcript export so the client can audit calls
  • 1.Run a live pilot on a limited call queue with the client's team watching
  • 2.Tune speech-to-text diarization settings if calls involve multiple speakers
  • 3.Document the escalation path for calls the agent mishandles
  • 1.Review pilot transcripts with the client and agree on the go-live scope
  • 2.Set the monthly usage ceiling in the client contract based on measured call minutes
  • 3.Hand over the fallback contact list and the escalation runbook
  • 1.Switch the agent to full production on the client's main line
  • 2.Monitor the first 100 live calls for transcription errors and dropped handoffs
  • 3.Confirm the client's team can read the transcript export without support
  • 1.Produce the first monthly usage report from Sarvam's credit consumption
  • 2.Compare actual usage against the estimate and flag any overage risk
  • 3.Invoice the retainer with usage passed through at Sarvam's published rates
  • 1.Schedule the monthly tuning session where FAQ scenarios get refreshed
  • 2.Add any new language from Sarvam's speech-to-text coverage of 12 languages if the client expands
  • 3.Close the deployment with a written scope for month two
Sarvam's Starter plan is ₹0 with universal credits that never expire and no monthly commitment, so the agency's platform cost starts at zero. Usage runs ₹30/hour for speech-to-text and ₹3 per 1,000 characters for text-to-speech, and the productized offer is priced at $2,250 for 20 hours of setup. Enterprise pricing with volume discounts is quote-only via contact sales.7-10 days
ROI Logic

The agency charges $2,250 for roughly 20 hours of setup work, and Sarvam's Starter plan costs ₹0 to start with credits that never expire, so the first deployment carries no platform fee. Ongoing margin comes from the retainer markup on usage billed at ₹30/hour for speech-to-text and ₹3 per 1,000 characters for text-to-speech, which the agency passes through and marks up. Because Sarvam handles the infrastructure, the agency's recurring cost is the tuning session, not engineering headcount.

Deliverables
  • A deployed Sarvam voice agent answering the client's top 10 FAQ scenarios in the chosen Indic language
  • A fallback routing configuration that hands calls to a human when the confidence threshold is not met
  • A daily transcript export the client can audit without agency help
  • A monthly usage report reconciling Sarvam credit consumption against the contracted ceiling
  • A written escalation runbook covering off-script calls and language gaps
Definition of Done

The Sarvam agent answers live client calls in the target Indic language, routes low-confidence calls to a human, and the client's team reads the transcript export unaided for one full week.

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