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 assistants for sales, customer support, and internal operations. With multi-channel deployment, configurable knowledge training, and advanced voice plus chat capabilities, Torri transforms how companies automate human-like interactions.

India

40–50K USD

5 months

Web

About Torri

Empowering Businesses with AI-Driven Virtual Employees

Torri addresses the challenges modern businesses face in scaling customer support and streamlining internal operations by enabling the creation of custom AI virtual employees. The platform allows companies to build and deploy both chatbot and voice assistants, which can be trained on proprietary data including documents and website content. Users can configure the assistants’ language, LLM model, and behavior based on desired quality, speed, or cost. These AI employees can then be seamlessly integrated across multiple channels such as websites, WhatsApp, Slack, and phone systems for 24/7 automation.

Project Challenges

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

Scalability for Diverse Use Cases: Torri needed to support both chat and voice assistants across multiple industries, with users able to create different assistants for different roles quickly.

Subscription, Credits, and Usage Control: The platform required a smooth onboarding and subscription experience with credit-based usage tracking, purchases via Stripe, and low-credit alerts.

Company-Specific Data Training Across Formats: Training had to work reliably across documents, text, Q and A pairs (including optional images), and automated website crawling while keeping answers grounded in the uploaded knowledge.

Real-Time Voice Communication With Call Controls: Delivering natural phone conversations required voice provider selection, transcription configuration, and call behavior controls such as silence timeouts, max call duration, background sound, and voicemail detection.

Integration Complexity and Multi-Channel Deployment: Supporting multiple deployment channels plus unified transcripts, recordings, logs, analytics, and lead export required a robust, modular architecture.

How did we help?

Creole Studios approached Torri’s development with a carefully phased strategy to ensure that each challenge was addressed systematically:

Step 1

MVP First (Text-Based Chat Agent)

We started with an MVP focused only on building and testing text-based chat agents. This helped validate the core agent-building flow, training workflow, and response quality before investing in the full SaaS rollout. This MVP phase followed a build-measure-learn loop so we could validate training quality and response behavior before expanding into voice, analytics, and multi-channel rollout.

Step 2

Onboarding, Subscription, and Credits Foundation

Built a smooth onboarding experience with optional subscriptions and Stripe payments.Implemented a credit-based usage system, purchase flows, and low-credit alerts to support scalable SaaS MVP development and long-term monetization.

Step 3

Chatbot Assistant Builder (No-Code Configuration)

Developed a no-code chatbot configuration flow where users can set language preferences, choose an LLM model based on quality, speed, or cost, and tune response behavior using temperature. Added brand controls like tone, display name, welcome message, greetings, quick replies, and chatbot theme customization.

Step 4

Multi-Source Knowledge Training Engine

Implemented a flexible training system that supports multiple knowledge sources including text input, file uploads, Q and A pairs (with optional images), and website crawling. Embedded data into a vector database to ensure the assistant responds using company-approved knowledge.

Step 5

Voice Assistant Engine and Phone Deployment

Built a production-ready voice assistant workflow with voice provider selection, transcription configuration, and detailed call behavior controls such as first message, silence timeout, max duration, background sound, and voicemail detection. Integrated Twilio for phone number binding and fallback routing, enabling real voice calls.

Step 6

Testing, Analytics, and Multi-Channel Deployments

Delivered real-time testing with chatbot preview and voice test calls, supported by transcripts and logs. Enabled deployment across Website Embed, WhatsApp Business API, Telegram, Slack, and REST API. Built analytics dashboards for chat and voice metrics, lead export (CSV, XLS, JSON), cost tracking, and assistant lifecycle management (clone, modify, archive).

Tech Stack used

ReactJS

NodeJS

MongoDB

Azure

Pinecone

Slack

AWS

Need help?

Design and flow

Creole Studios designed the Torri platform with a focus on being simple for first-time users yet powerful for teams scaling multiple assistants. The design follows an MVP-first approach and utilizes a modular, no-code builder to ensure a brand-consistent and testable setup from day one. Key features include a clear user journey that separates chatbot and voice assistant configurations, a clean management dashboard, built-in real-time preview and testing, unified conversation history with transcripts and logs, and analytics-ready screens, all of which enable businesses to launch and iterate AI employees without needing engineering support.