You will get an AI Call Center


Project details
You get a fully automated call-handling solution designed to act as your best sales representative—24/7. It answers every call, captures leads, books appointments, and integrates with your existing CRM system to keep data up to date, without any manual intervention.
What Sets It Apart: AI Call Center stands out because it’s trained on real-world sales techniques to convert calls into customers. Unlike traditional call centers, it’s always available, never misses a lead, and delivers consistent performance, making it an indispensable tool for capturing opportunities around the clock.
What Sets It Apart: AI Call Center stands out because it’s trained on real-world sales techniques to convert calls into customers. Unlike traditional call centers, it’s always available, never misses a lead, and delivers consistent performance, making it an indispensable tool for capturing opportunities around the clock.
Purpose
BusinessIndustry
Animals & Pets, Architecture & Interior Design, Arts & Design, Audio Services, Beauty & Cosmetics, Biotech, Business Services & Consulting, Construction, Cryptocurrency & Blockchain, Cybersecurity, Data Analytics, Ecommerce, Education, Energy, Engineering, Environmental, Events Planning, Fashion & Apparel, Financial Services, Food & Beverage, Government & Public Sector, Hardware & Electronics, Legal, Lifestyle, Logistics & Supply Chain Management, Manufacturing & Storage, Marketing & Advertising, Media & Entertainment, Medical & Pharmaceutical, Nonprofit, Real Estate, Religion & Spirituality, Retail & Wholesale, Software, Telecommunications, Transportation & AutomotiveLanguage
EnglishWhat's included
| Service Tiers |
Starter
$597
|
Standard
$2,900
|
Advanced
$5,900
|
|---|---|---|---|
| Delivery Time | 3 days | 14 days | 28 days |
Scriptwriting | - | ||
Summary Report | |||
Lead List |
Optional add-ons
You can add these on the next page.
Scriptwriting
(+ 1 Day)
+$300Frequently asked questions
About Igor
AI Solution Architect | Operations and Healthcare | Voice AI
Boca Raton, United States - 1:59 am local time
LLM Apps · Workflow Automation · Internal Tools · Voice AI
I help businesses turn AI ideas, manual workflows, and messy prototypes into working software.
My work usually sits between product, operations, and engineering: I help define what should be built, design the system, implement it myself, and take it from proof of concept to MVP or dependable production.
Typical projects include:
• LLM-powered apps and internal tools
• AI agents for operations, sales, support, and admin workflows
• Workflow automation connected to CRMs, forms, spreadsheets, APIs, and existing tools
• Voice AI agents for inbound and outbound calls, lead capture, qualification, booking, and follow-up
• Document and data workflows: summarization, extraction, classification, search, and review
• Fixing AI prototypes that work in a demo but break in real business use
I start by mapping the workflow:
What comes in?
What should AI decide?
What should it never decide?
When should a human take over?
Where does the data go?
How do we build evals and test whether the system works?
That is usually the difference between an AI demo and a system a business can actually rely on.
I can help with the full cycle:
• Solution vision and architecture
• MVP planning
• Hands-on implementation
• Backend and frontend development
• AI model/tool integration
• CRM and third-party API integrations
• Testing, logging, error handling, and handoff
Background:
I come from both engineering and business operations. I have worked across product, HR, call center operations, automation, and company building, so I design AI systems around the real business process, not just around the model API.
Relevant experience includes:
• Production voice AI systems for real customer calls
• AI receptionist and lead handling workflows
• AI-powered CMS/editorial workflows
• Healthcare document summarization architecture for large, messy record sets
• Internal tools and automations connecting CRMs, spreadsheets, forms, APIs, and human review steps
Stack:
• AI: OpenAI, Claude, Gemini, structured outputs, tool calling, RAG
• Voice AI: Vapi, Retell, Twilio
• Full-stack: React, Next.js, Node.js, Python, FastAPI
• Data: PostgreSQL, Supabase, vector databases
• Automation: Make, Zapier, n8n
• Integrations: CRMs, Google Workspace, Airtable, custom APIs
I can work with Make, Zapier, and n8n when they make sense for prototypes or existing workflows. For production systems, I often recommend a small custom backend instead: it is usually easier to test, monitor, maintain, and scale.
I use modern AI coding tools like Cursor, Claude Code, and Codex to move faster, but the architecture, reliability decisions, and business logic stay human-owned.
Best first step:
Send me a short brief with:
1. What you are trying to build or fix
2. Your current process and tools
3. What happens today without AI
4. What would make the project worth it
Steps for completing your project
After purchasing the project, send requirements so Igor can start the project.
Delivery time starts when Igor receives requirements from you.
Igor works on your project following the steps below.
Revisions may occur after the delivery date.
Stage 1: Demo Stand
You receive a functional demo where you can call and interact with an AI customized to your requirements, based on the insights gathered during the briefing. This demo allows you to assess the AI's capabilities.
Stage 2: Adjustments
You receive an AI updated based on your feedback. The AI can now log call information in a structured way, similar to how it would operate in a CRM. The adjustments ensure the AI's performance matches your expectations.