You will get an AI voice agent that answers calls and books appointments
Project details
I build practical AI voice agents for inbound call handling, lead qualification, appointment booking, follow-up, and structured call outcomes.
The Starter Voice Agent tier delivers one focused agent for an approved call purpose, including basic conversation flow, message or caller-data capture, representative testing, and handoff.
The Lead Qualification Agent adds structured qualification, branching conversations, CRM or calendar integration, escalation rules, and call-outcome logging.
The Production Voice System adds a more complete production workflow with routing, booking, CRM updates, failure handling, monitoring hooks, reporting, documentation, and handoff.
The agent is built around your approved scripts, business information, representative call scenarios, and authorized systems. Required voice-platform, telephony, telephone-number, CRM, calendar, AI-model, and usage fees remain client-owned.
No appointment, conversion, uptime, call-quality, or revenue result is guaranteed. Outbound calling requires the client to comply with applicable consent and calling requirements.
The Starter Voice Agent tier delivers one focused agent for an approved call purpose, including basic conversation flow, message or caller-data capture, representative testing, and handoff.
The Lead Qualification Agent adds structured qualification, branching conversations, CRM or calendar integration, escalation rules, and call-outcome logging.
The Production Voice System adds a more complete production workflow with routing, booking, CRM updates, failure handling, monitoring hooks, reporting, documentation, and handoff.
The agent is built around your approved scripts, business information, representative call scenarios, and authorized systems. Required voice-platform, telephony, telephone-number, CRM, calendar, AI-model, and usage fees remain client-owned.
No appointment, conversion, uptime, call-quality, or revenue result is guaranteed. Outbound calling requires the client to comply with applicable consent and calling requirements.
AI Algorithms
Large Language ModelAI Applications
Conversational AIAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$650
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
About Rafael
AI Automation Engineer - n8n, AI Agents, Scraping & Data Pipelines
Norco, United States - 9:28 am local time
Beyond n8n, I build the full automation stack: custom AI agents and RAG chatbots, web scrapers and scheduled data extraction, API integrations that make your CRM, billing, spreadsheets, and messaging tools talk to each other, and ETL pipelines that turn messy CSV/Excel into clean, structured data. If a task is repetitive, if two systems don't sync, or if an AI-generated workflow keeps breaking, I turn it into a reliable, documented system you can actually maintain.
I'm the founder of Mox Technologies, an automation studio. I've spent roughly ten years building workflow automation and, more recently, AI agents for small businesses and agencies. Most automation you'll find connects two apps and stops at the happy path. That's why so many builds die quietly in month two. I build the other 20% - the retries, the validation, the failure alerts, and the human-approval steps - that turn a fragile prototype into something you can actually run a business on.
What I do most:
- Lead intake automation: capture, AI qualification/summary, CRM, notify the right person.
- Data pipelines: inboxes, forms, and attachments turned into clean structured data, with dedupe and validation.
- AI agents that behave: agents that call tools, check their own output, and escalate to a human when unsure - not black boxes that hallucinate into your customer's inbox.
- Rescues: fixing and finishing broken or AI-generated workflows other people started, with a root-cause explanation so it doesn't recur.
Every build ships with real error handling, a Loom walkthrough, and clean, labeled nodes your team can maintain. I scope tightly and quote fixed prices, so you know the number before we start.
Before you invite me, send two lines: what triggers the workflow, and what should exist when it finishes. I'll tell you honestly whether it's a quick fix, a full build, or something you can do yourself.
Steps for completing your project
After purchasing the project, send requirements so Rafael can start the project.
Delivery time starts when Rafael receives requirements from you.
Rafael works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Call Design
Review the call purpose, approved scripts, qualification rules, representative scenarios, connected systems, escalation rules, and acceptance criteria.
Build, Integrate, and Test
Configure the voice agent, implement the agreed conversation paths and integrations, and test representative and exceptional call scenarios.