Consumer electronics D2C
- Challenge
- Support and sales needed shared conversation context.
- Simplileap solution
- WhatsApp bot with CRM handoff on low-confidence intents.
- Outcome
- CSAT 4.1/5 on bot-resolved threads.
// Automate
Voice Assistants
Voice is the most natural human interface. We build voice assistants and conversational IVR systems that understand intent, handle natural speech variations, and complete tasks that previously required human agents.
// Key benefits
What makes this service valuable
Conversational IVR modernisation
Replace button-press IVRs with natural language voice systems that understand intent, confirm actions, and complete most queries without agent transfer.
Speech AI integration
Google Dialogflow CX, Amazon Lex, or OpenAI Whisper + GPT-4, combined with TTS (ElevenLabs, Google WaveNet) for human-quality voice output.
Telephony integration
Twilio Voice, Exotel, and other telephony providers for phone-based voice assistants. PSTN integration for existing phone number voice automation.
// Details
Voice automation for phone and smart speakers
Voice assistants handle the highest-volume customer interactions in certain industries, telecom, banking, and logistics. Modernising these with conversational AI dramatically reduces average handle time and improves customer satisfaction.
We design voice flows with voice-specific UX considerations, confirmation prompts, barge-in handling, noise tolerance, and language/accent sensitivity, that text-based chatbot design misses.
// What this includes
- Dialogflow CX / Amazon Lex / OpenAI voice pipeline
- Speech-to-text and text-to-speech integration
- Telephony integration (Twilio / Exotel)
- Intent recognition and entity extraction
- Backend system integration
- Fallback to human agent
- Call recording and quality monitoring
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our voice assistants service.
- 01Voice assistant implementation
- 02Intent library and training data
- 03Telephony integration setup
- 04Backend integration for dynamic responses
- 05Human fallback routing
- 06Call analytics setup
// In practice
How voice assistants engagements run
Voice flows use Amazon Lex, Google Dialogflow CX, or Twilio Voice with barge-in, DTMF fallback, and handoff to live agents with full intent context. Prompt and acoustic tuning cover regional accents and background noise typical of mobile callers in your markets. Containment rate and average call duration are measured against IVR baseline before decommissioning legacy menus.
// Stack & frameworks
Stack we use for this
AI & LLM
- OpenAI / Anthropic APIs
- LangChain pipelines
- RAG architectures
- Confidence thresholds
Integration
- Salesforce / HubSpot
- Zapier / Make
- Custom webhooks
- ERP connectors
Governance
- LangSmith observability
- PII handling
- Audit logs
- Rollback procedures
// Delivery
Simplileap execution framework
01
Architecture mapping
Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.
02
Secure sprints
Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.
03
QA & handover
Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.
// Proof
Real deployments from Bangalore
// Engagement models
How teams engage us
Currency
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Workflow automation | Ops teams | ₹3L – ₹10L |
|
| AI / LLM integration | Product teams | ₹4L – ₹12L |
|
| RPA implementation | Back-office | Scoped per process |
|
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
Common questions about voice assistants
Can voice assistants handle regional Indian accents?+
Modern ASR models have good Indian English accuracy. We test across accent variations in your target user population and fine-tune or select models accordingly. Regional language support (Hindi, Tamil, Telugu) is increasingly available.
Ready to get started with voice assistants?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.