Building a Virtual AI Employee Platform for Sales & Support Automation

Creole Studios collaborated with Torri to develop an intelligent AI employee builder platform that empowers businesses to create and deploy custom AI agents for sales, customer support, and internal operations. With seamless integrations and advanced voice/chat capabilities, Torri transforms how companies automate human-like interactions.

Hong Kong

40–50K USD

5 months

Web

About Torri

Empowering Businesses with AI-Driven Virtual Employees

Modern businesses face challenges in scaling customer support, responding to leads promptly, and streamlining internal support without incurring high operational costs. Torri solves this by enabling companies to:

Build AI chatbots and voice agents
Train agents using company-specific data (documents, website, etc.)
Integrate with platforms like Shopify, Slack, and phone systems
Customize tone, script, and assistant behavior

The result is a highly flexible, 24/7 AI workforce that reduces human workload and improves user engagement.

Project Challenges

To bring Torri to life, we tackled several real-world challenges in AI deployment:

Scalability for Diverse Use Cases: Torri needed to handle a wide range of roles—sales agent, helpdesk support, onboarding assistant, etc.—across various industries and data formats.

Real-Time Voice Communication: Building human-like voice conversations required integration of speech-to-text, text-to-speech, and real-time decision-making, all with minimal latency.

Company-Specific Data Training: Training agents on documents, URLs, and internal knowledge bases was critical for accurate responses. Structuring and indexing this data dynamically was complex.

Customizable Agent Behavior & Personality: Businesses wanted agents that reflected their brand tone, language preferences, and role-specific behaviors.

Integration Complexity: Supporting platforms like Shopify, Slack, WhatsApp, and phone lines with seamless sync and logs management needed robust architecture.

How Did We Help?

We approached Torri’s development with a strong focus on modular agent creation, seamless user flow, and real-time AI interactions.

Step 1

No-Code AI Agent Builder

Users can build agents with just a few clicks by configuring:

Name, Type (Chatbot / Voicebot)
Industry & Purpose (e.g., Sales, Support)
First Greeting Message & Personality Traits
Platform to connect (e.g., Shopify, phone, website)

Step 2

Custom Data Training Engine

Agents can be trained on:

URLs (company website, product pages)
Documents (PDFs, Docs, Notion exports)
Knowledge bases

Each agent builds a vector-based index to respond accurately using only trained data.

Step 3

Real-Time Testing & Preview

Users can test agents using a built-in playground:

Ask product or policy-related questions
Preview responses in both text and voice
Validate language and tone before deployment

Step 4

Voicebot Configuration

We built a robust voice assistant engine with:

Text-to-Speech and Speech-to-Text integration
Voice models (e.g., male/female voice, accents)
Custom background sounds (e.g., office ambiance)
Script customization for real-time calls

Users can simulate phone calls, hear AI responses, and adjust tones instantly.

Step 5

Multi-Platform Integration

Agents can be deployed on:

Websites (via embed)
WhatsApp or Slack
Shopify for product support
Phone systems for real-time voice agents

All interactions are logged with transcripts and call recordings.

Step 6

Team Structure

We structured a collaborative cross-functional team:

1 Frontend Developer
2 Backend Developers
1 AI Engineer (Prompt & Model Integration)
1 Voice Specialist
1 QA Tester
1 Project Manager

The team worked in agile sprints to release core features rapidly while iterating based on early feedback.

Tech Stack used

React.js

Node.js

MongoDB

AWS

Pinecone

OpenAI

Need help?

Design and Flow

We focused on creating an intuitive agent-building experience with:

Modular setup (easy onboarding for non-tech users)
Realtime preview of voice/text responses
Clean dashboard to manage multiple agents
Transcripts, analytics, and retry options

This allowed businesses to launch and iterate AI employees without engineering support.

The Outcome

Torri empowered businesses to create on-demand virtual employees with full control over tone, training data, and communication channels. Companies were able to: