You will get I will build an AI lead follow-up automation system in GoHighLevel
Project details
You’ll get a production-ready AI lead follow-up system built inside GoHighLevel to respond to leads faster, qualify prospects, automate follow-ups, and book more appointments.
I’ll connect GoHighLevel with OpenAI or Claude and build the workflows around your actual sales process. The automation can handle lead qualification, personalized SMS/email follow-ups, pipeline updates, appointment booking, and human handoff when AI should not continue the conversation.
What makes this different is the focus on reliability, not just getting an AI demo working. I’ll include proper workflow testing, API error handling, clear handoff rules, and documentation so the system is easier to manage and improve.
I have experience building AI automations with Python, Node.js, Claude, OpenAI, APIs, RAG, and AWS, backed by years of running mission-critical systems at JPMorgan Chase and First Republic Bank.
The goal is simple: respond faster, reduce manual follow-up, and turn more leads into qualified conversations and booked appointments.
I’ll connect GoHighLevel with OpenAI or Claude and build the workflows around your actual sales process. The automation can handle lead qualification, personalized SMS/email follow-ups, pipeline updates, appointment booking, and human handoff when AI should not continue the conversation.
What makes this different is the focus on reliability, not just getting an AI demo working. I’ll include proper workflow testing, API error handling, clear handoff rules, and documentation so the system is easier to manage and improve.
I have experience building AI automations with Python, Node.js, Claude, OpenAI, APIs, RAG, and AWS, backed by years of running mission-critical systems at JPMorgan Chase and First Republic Bank.
The goal is simple: respond faster, reduce manual follow-up, and turn more leads into qualified conversations and booked appointments.
AI Development Type
Knowledge Representation, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | ||
Taxonomy | - | - | - |
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ZI
Zafar I.
Aug 13, 2026
AI Automation Expert Needed — Build AI Agents, Workflow Automation & Integrations
Sheela was an excellent hire for our AI automation project. What stood out immediately was her production-first mindset; rather than shipping a demo that looks good and breaks in week one, she thought through error handling, retries, and cost controls from the start. Her communication was clear and responsive throughout, and she was upfront about tradeoffs instead of just saying yes to everything. Highly recommend for anyone who needs AI automation that actually holds up in production, not just a proof of concept.
About Sheela
AI Automation Engineer | Claude API, RAG, n8n & MCP | Python, AWS
50%
Job Success
San Jose, United States - 8:05 am local time
I build AI automations that actually hold up in production - not demos that break the first week.
A decade in mission-critical infrastructure and API engineering - most recently at JPMorgan Chase and First Republic Bank - taught me the part most AI builds get wrong: the model is the easy bit. Retries, rate limits, cost control, logging, and knowing when the output is wrong - that's what separates a workflow you can trust from one you babysit.
What I build:
✅ Claude & GPT API integrations - production-grade, with error handling, retries and token cost controls
✅ AI agents & workflows - multi-step automations using Python, Node.js, LangChain and the Model Context Protocol (MCP)
✅ RAG systems - chat over your docs, contracts, tickets or knowledge base, with real citations
✅ Internal AI tools - document processing, data extraction, report generation, ticket triage
✅ AI ops - deployment on AWS, monitoring, evals and dashboards so you can see what the model is doing
Why clients keep me:
• "What stood out immediately was her production-first mindset" - my first Upwork client, 5.0 review
• I come from a banking reliability background - I design for failure, not the happy path
• I flag risk early and tell you when AI is the wrong tool for a problem
• You get working software plus the monitoring to prove it's working
Best fit: teams with a repetitive, high-volume process - support, ops, finance, back office - who want it automated properly, with a human in the loop.
Send me a note with the process you want automated and I'll tell you straight whether it's worth building.
Tech: Claude API · OpenAI API · Python · Node.js · LangChain · MCP · RAG · vector databases (Pinecone, pgvector) · FastAPI · n8n · Make · AWS (Bedrock, Lambda, EKS) · Docker · Kubernetes · Terraform · Prometheus · Grafana · CI/CD
Steps for completing your project
After purchasing the project, send requirements so Sheela can start the project.
Delivery time starts when Sheela receives requirements from you.
Sheela works on your project following the steps below.
Revisions may occur after the delivery date.
Review Your GHL Setup & Automation Goals
I’ll review your current GoHighLevel setup, lead journey, workflows, integrations, and business requirements to define the automation flow.
Design the AI Lead Qualification Workflow
I’ll design the AI conversation flow, qualification questions, lead scoring rules, follow-up logic, and human handoff conditions.