OmniVoice AI voice agent SaaS Development

I am building OmniVoice AI, a Software-as-a-Service platform that lets small and mid-sized businesses automate both outbound and inbound phone conversations. The first release must cover three core use-cases—appointment setting, lead qualification, and customer service—handled entirely by an intelligent voice agent.

Core product expectations
• Voice agent flows should combine ready-made templates with the option for users to fine-tune greetings, questions, and fallback lines.
• Native support for English, Hindi, and Vietnamese is essential from day one; the architecture should allow us to add more languages easily.
• A self-serve onboarding experience (sign-up, phone number purchase/port, call-flow wizard) needs to feel as simple as any modern SaaS.
• Monthly subscription management, usage metering, and role-based access must be baked in.
• Tight integration with Google My Business so users can automatically answer and post review responses.
• Cloud-first deployment, scalable voice I/O (Twilio, Vonage, or equivalent), and a clean REST/GraphQL API that future mobile apps can consume.

Deliverables for this engagement
1. An MVP web application (frontend, backend, database, telephony layer) deployed to a cloud account I control.
2. Admin dashboard plus end-user portal covering account creation, plan selection, payment, and basic analytics.
3. AI voice agent module that can:
– receive or place calls,
– identify the caller’s language,
– follow the appropriate appointment/lead/service script,
– store call transcriptions and outcomes.
4. Unit and integration tests, CI/CD pipeline, and setup documentation clear enough for any engineer to reproduce the environment.
5. A short Loom or Zoom walkthrough showing the full user journey.

Acceptance criteria
• The agent must successfully complete at least 80 % of scripted calls in each supported language during demo testing.
• Switching between template text and custom text should not require code changes—only UI edits.
• Google My Business review replies must appear in the client’s dashboard within one minute of posting.

If you have proven experience with telephony APIs, conversational AI, and SaaS product architecture, your insight will be invaluable as we turn this concept into a polished, affordable tool for SMBs.