You will get a Retell AI Voice Receptionist MVP (inbound calls)
Top Rated
Project details
I implement inbound Voice AI receptionists using Retell AI with a focus on reliability and scope control. You’ll get a defined call flow, voicemail handling, and human transfer (tested and documented) so your team can run it consistently. Standard adds a knowledge base for higher answer quality. Advanced adds a strictly bounded one-way handoff (Retell webhook → GoHighLevel inbound webhook) with limited field mapping and simple workflow actions. This is not custom low-level telephony engineering or deep CRM system integration; the goal is a production-ready MVP that works predictably and can be expanded later.
Purpose
BusinessIndustry
Agriculture, 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, Gaming, Government & Public Sector, Hardware & Electronics, Legal, Lifestyle, Logistics & Supply Chain Management, Manufacturing & Storage, Marketing & Advertising, Media & Entertainment, Medical & Pharmaceutical, Music, Nonprofit, Photography, Real Estate, Religion & Spirituality, Retail & Wholesale, Software, Sports & Fitness, Telecommunications, Transportation & Automotive, Travel & Tourism, Video Services, Wellness, Writing & PublishingLanguage
EnglishWhat's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Scriptwriting | - | - | - |
Summary Report | |||
Social Media Replies | - | - | - |
Email Support | - | - | |
Live Chat Support |
Optional add-ons
You can add these on the next page.
Additional Hour of Work
+$60Frequently asked questions
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About Danilo
AI Systems Architect | Cloud, Automation & Technical PM.
100%
Job Success
Miami, United States - 6:31 am local time
I help companies move from AI curiosity to real business impact, by selecting the right models, designing practical use cases, and delivering production-ready solutions.
I turn product vision into secure, scalable AI systems, and organizational chaos into structured, measurable execution.
🏆 Expert-Vetted by Upwork | ☁️ AWS-certified | 🎓 Master’s in Engineering Management | 🚀 10+ years delivering cloud and AI systems
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🔍 What I bring
🧠 AI Strategy & LLM Evaluation
I evaluate and benchmark LLMs (Claude, ChatGPT, Gemini, and open-source models like Kimi, MiniMax) based on cost, performance, and real business use cases.
I help teams select the right model and architecture — not just the most popular one.
🏢 AI Adoption & Team Enablement
I set up and operationalize tools like Claude for Teams / ChatGPT Enterprise, including plugins, connectors, and MCP-based workflows.
Focus: real adoption, governance, and measurable productivity gains across teams.
⚙️ AI Pilots & Business Use Cases
I design and deliver targeted AI pilots (2–6 weeks) for specific business functions:
– Sales automation
– Internal knowledge assistants (RAG)
– Document processing
– Workflow automation
Using official APIs (OpenAI, Anthropic, Google) or OpenRouter when flexibility is needed.
🤖 AI/LLM Engineering & MLOps
Hands-on with RAG systems, fine-tuning, inference pipelines, and observability.
Stack includes: Bedrock, SageMaker, Vertex AI, LangChain, LangGraph, vector DBs.
☁️ Cloud & Infrastructure
Production deployments on AWS and GCP: IAM, VPCs, CI/CD, serverless, containers, monitoring, secure data pipelines.
📊 Product & Delivery Leadership
I own delivery end-to-end: clear scope, timelines, stakeholder alignment, and predictable execution.
No scope creep. No black-box development.
🔄 Automation & Tooling
n8n, workflow orchestration, API integrations, AI-assisted pipelines.
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🚀 Selected recent work
📌 AI Adoption Enablement — Marketing Agency
Set up ChatGPT Enterprise workflows, defined usage guidelines, trained teams, and implemented repeatable AI processes across departments.
📌 LLM Opportunity Analyzer
Built a full-stack platform to evaluate and prioritize business opportunities using Gemini + AWS models, with structured outputs and decision support.
📌 RAG Systems for Internal Knowledge
Designed and deployed document intelligence systems using vector databases and LLM orchestration.
📌 AI + CRM Integration
Integrated AI into Salesforce, HubSpot, and Pipedrive, including data preparation, prompt structuring, and workflow automation.
📌 Automation Pipelines (n8n)
Built end-to-end workflows combining APIs, LLMs, and dashboards for decision-making.
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🧩 Services I offer
• AI Strategy & LLM Selection
→ Model evaluation, architecture decisions, ROI-focused roadmap
• AI Pilot (2–6 weeks)
→ Design + deploy a working AI use case for your business
• Technical Product Management
→ Lead your AI/cloud initiative end-to-end
• Cloud & AI Architecture
→ Production-ready infrastructure with security and scalability
• Fractional CTO / AI Advisor
→ Ongoing strategic and technical guidance
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🤝 Availability & working style
Based in Miami, FL (EST). I work closely with founders and teams through short discovery sessions, then deliver a clear execution plan with fast iterations.
If you're exploring AI but want to do it right (not just fast) feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Danilo can start the project.
Delivery time starts when Danilo receives requirements from you.
Danilo works on your project following the steps below.
Revisions may occur after the delivery date.
Intake + call-flow design
define intent categories, required fields, escalation rules
Agent configuration
prompt, knowledge boundaries, tone, business rules, transfer logic.