You will get An AI proposal generator that turns sales calls into branded proposals
Project details
Sales calls end. The clock starts. Your competition sends a proposal in 4 hours. You take 2-3 days. You lose deals you should have won.
I build AI proposal generators that produce a finished, branded proposal within 20 minutes of your call ending. Same workflow we use at our AI agency — now productized.
How it works: your sales call records (Zoom, Fathom, Otter, any tool). The pipeline extracts scope, budget, timeline. A custom proposal generates in your brand template. You review. One click sends to client.
You go from "I'll send a proposal next week" to "Check your email."
What sets this apart: most "AI proposal" services are glorified Zapier templates. Mine are production-grade — proper extraction, pricing logic that matches your tiers, CRM integration that doesn't drop fields, approval workflow.
You get: AI extraction pipeline, custom proposal template, pricing logic, CRM integration (HubSpot, Salesforce, Airtable, Pipedrive), email send automation, SOP doc + Loom walkthrough, and 2 weeks of post-launch support.
B2B sales background ($2M+ revenue influenced) means I build for outcomes — deals closed, not impressive demos.
I build AI proposal generators that produce a finished, branded proposal within 20 minutes of your call ending. Same workflow we use at our AI agency — now productized.
How it works: your sales call records (Zoom, Fathom, Otter, any tool). The pipeline extracts scope, budget, timeline. A custom proposal generates in your brand template. You review. One click sends to client.
You go from "I'll send a proposal next week" to "Check your email."
What sets this apart: most "AI proposal" services are glorified Zapier templates. Mine are production-grade — proper extraction, pricing logic that matches your tiers, CRM integration that doesn't drop fields, approval workflow.
You get: AI extraction pipeline, custom proposal template, pricing logic, CRM integration (HubSpot, Salesforce, Airtable, Pipedrive), email send automation, SOP doc + Loom walkthrough, and 2 weeks of post-launch support.
B2B sales background ($2M+ revenue influenced) means I build for outcomes — deals closed, not impressive demos.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$497
|
Standard
$997
|
Advanced
$1,997
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 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 |
Frequently asked questions
About Hendrik
AI Engineer | Python, TypeScript, Voice Agents, RAG, Custom AI Agents
Brossard, Canada - 7:00 am local time
I run an AI agency (CoreFix AI). My flagship build is an AI proposal generator that takes a 30-minute sales call and produces a finished, branded proposal in 20 minutes — replacing 2-3 days of manual work. Same engineering rigor goes into every client engagement.
What I build:
- Custom AI agents — Python + LangGraph / Pydantic AI / OpenAI Agents SDK / Anthropic SDK, with tool use, memory, and structured outputs
- Voice agents — inbound + outbound (Vapi, Retell, Bland, ElevenLabs) with CRM integration, calendar booking, and post-call workflows
- RAG systems — embeddings, vector DBs (Pinecone, Supabase pgvector, Weaviate), hybrid search, evaluation pipelines
- AI features in your product — Next.js / FastAPI backends streaming OpenAI / Claude / Gemini responses with proper error handling, retries, observability
- MCP servers + custom integrations — connect your AI to internal APIs, CRMs, databases
- Workflow automation when it fits — n8n, Make, Zapier as glue when speed-to-deploy beats custom code
Stack I work in: Python (FastAPI, Pydantic, LangGraph, LangChain), TypeScript / Node.js (Next.js, Vercel AI SDK), OpenAI API, Anthropic API, Gemini API, Vapi, Retell, Bland, ElevenLabs, Supabase, Postgres, Pinecone, n8n, Make, GitHub, Vercel, Cloudflare Workers.
Why hire me: I'm not a tutorial-follower. I ship production systems that handle real edge cases, run reliably, and get used. Background in B2B sales and customer success ($2M+ revenue influenced at one SaaS) means I build for actual business outcomes, not impressive demos.
How I work:
1. Free 30-min scoping call. Map the system, flag the risks, give you a real estimate.
2. Build with full transparency. GitHub access, Loom updates, working previews — not "trust me."
3. Handoff with docs + walkthrough + 2 weeks support. Your team owns it after.
Promotional intro pricing: $35/hr for my first few Upwork clients while I build platform reviews. Standard rate after that is $75-95/hr.
Languages: English & German (native). Quebec-based, work US/CA/UK hours.
Steps for completing your project
After purchasing the project, send requirements so Hendrik can start the project.
Delivery time starts when Hendrik receives requirements from you.
Hendrik works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & sample collection
30-45 min call. We map your sales motion, collect call recordings + sample proposals, and define the sections, pricing logic, and brand specs.
AI extraction pipeline build
Build the n8n + OpenAI pipeline that takes call recordings or transcripts and outputs structured data: scope, budget, timeline, deliverables, decision-makers.