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AI Automation / Voice

Conversational AI Operations Platform

A full-stack platform for configurable phone agents, inbound routing, outbound campaigns, call history, RAG, and calendar-aware workflows.

Engineering scope Flask / OpenAI / Twilio / ElevenLabs / SQLAlchemy / Google Calendar

Case study reviewed

Conversational AI Operations Platform conceptual overview
01

The challenge

A useful voice agent product needs more than a model call. Teams also need agent configuration, telephony routing, campaign controls, call records, knowledge, integrations, and role-aware administration.

02

The product approach

We created an operations platform around AI calling workflows. Businesses can configure agents, connect Twilio numbers, prepare outbound campaigns, manage knowledge and calendar integrations, and inspect call activity from a role-based Flask dashboard.

Inside the system

A product, not just a screen.

01

Agent configuration

Prompts, voices, models, knowledge, and scheduling behavior are managed per agent.

02

Call operations

Inbound number routing and outbound campaigns connect the AI layer to real workflows.

03

Team visibility

Call logs, leads, integrations, users, and system health are available in one console.

Key capabilities

  • Prompt, voice, language, model, and behavior configuration
  • Twilio inbound routing and outbound campaign controls
  • RAG-ready document knowledge workflows
  • Call history, transcription, and operational metadata
  • Google Calendar, lead-list, and admin management surfaces
Your product is next

Bring us the messy workflow. We will help shape the software.

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