AI Agent Designer Projects in CanadaAI Agent Designer Projects in CanadaAI Voice Assistant Workflow for Call Automation
I built a complete AI voice assistant workflow using VAPI to help businesses handle calls faster, follow up with leads automatically, and reduce manual calling work.
The system can be used for customer support, appointment booking, sales follow-ups, lead qualification, reminders, surveys, and technical support. Instead of relying on a person to answer every call or manually contact every lead, the AI assistant can respond, guide the conversation, collect information, and route calls when needed.
The workflow includes AI assistant setup, phone number connection, inbound and outbound call configuration, call scripts, objection handling, transfer rules, testing, and performance tracking. This makes the system practical for real business use, not just a demo.
The final setup gives businesses a scalable voice automation system that can improve response time, capture more leads, support customers more consistently, and track call performance through metrics like total calls, average call duration, and minute usage.
This project shows my ability to build AI automation workflows that connect voice AI, business processes, and operational tracking into one complete system. AI Automation / Workflow
Designed and built an AI-powered workflow automation system that runs on a schedule to monitor incoming data and trigger actions automatically. The system checks for new user activity, processes the data, and performs multiple actions such as sending email digests, logging information to a database, triggering webhooks for analytics, and updating overall system status.
The workflow is built using a modular, event-driven architecture, allowing each step (trigger, logic, and action) to be easily extended or modified. By integrating APIs and automation tools, the system eliminates repetitive manual tasks and ensures reliable, real-time execution of business processes.
This solution helps businesses streamline operations, reduce human error, and improve efficiency by automating routine workflows end-to-end.
