MMoaz AhmedAI Solution Provider

AI Voice · SaaS

TwelveAM: No-Code AI Voice Agents for Real Business Calls

How TwelveAM was built as a production-ready SaaS platform for creating AI voice agents that qualify leads, book appointments and answer customer questions.

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TwelveAM: No-Code AI Voice Agents for Real Business Calls project interface

Project profile

Sector
AI Voice · SaaS
Solution
AI Voice Agents
Role
Product and engineering delivery
Website
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The challenge

Turning a real workflow into a focused product.

Businesses need to answer calls consistently without making every workflow depend on additional staff. A useful platform had to support different agent roles, company knowledge and real call actions while remaining approachable for non-technical users.

The solution

Architecture shaped around the people using it.

TwelveAM was developed as a no-code platform where a business can define an agent’s role and goals, attach a knowledge base and test the experience before using it for live calls. The product brings voice infrastructure, language models, business configuration and call management into one workflow.

What was delivered

A connected solution from interface to infrastructure.

  • Agent configuration for roles, goals and knowledge
  • Real-time test playground before production use
  • Voice pipeline using speech recognition and synthesis
  • Representative agents for recruitment, pre-op reception, booking and support
  • Encrypted call handling and privacy-conscious product design
  • SaaS application, APIs, persistence and AWS delivery

Business outcome

The platform gives businesses one place to create and operate voice agents for practical customer conversations. It turns a technical voice stack into a configurable product that can be tested and adapted to multiple business use cases.
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