You will get AI Document Automation | Invoice OCR, PDF Data Extraction to CRM & Sheets


Project details
Someone on your team is retyping PDFs right now. Invoices into the accounting system, orders into the CRM, statements into a spreadsheet. It's slow, it's error-prone, and it doesn't scale.
I build AI document pipelines that do it automatically. A PDF or email arrives, the system extracts every field into clean structured data, checks it against what you expected, flags anything off, and pushes it into your sheet, CRM, or database. No retyping, no missed discrepancies.
Numbers from systems I've shipped: 95%+ extraction accuracy where traditional OCR manages 80-85%. One deployment replaced 10 hours of manual work per day, roughly $6,660/month in labor.
What you get:
>AI extraction from PDFs, emails, and scans into structured data
>Validation rules that flag discrepancies instead of letting them through
>Data delivered wherever you work: Google Sheets, Airtable, your CRM, or a database
>Low-confidence items routed for human review, never silently guessed
>Tested on your real documents with a side-by-side accuracy report before you approve
>Full documentation so your team runs it without me.
I build AI document pipelines that do it automatically. A PDF or email arrives, the system extracts every field into clean structured data, checks it against what you expected, flags anything off, and pushes it into your sheet, CRM, or database. No retyping, no missed discrepancies.
Numbers from systems I've shipped: 95%+ extraction accuracy where traditional OCR manages 80-85%. One deployment replaced 10 hours of manual work per day, roughly $6,660/month in labor.
What you get:
>AI extraction from PDFs, emails, and scans into structured data
>Validation rules that flag discrepancies instead of letting them through
>Data delivered wherever you work: Google Sheets, Airtable, your CRM, or a database
>Low-confidence items routed for human review, never silently guessed
>Tested on your real documents with a side-by-side accuracy report before you approve
>Full documentation so your team runs it without me.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Pages Mined/Scraped | 1 | 2 | 4 |
Number of Sources Mined/Scraped | 1 | 2 | 4 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
+$100
Additional Revision
+$100
Additional inbox intake
+$80
Backlog processing
+$120
Post-launch monitoring
+$100Frequently asked questions
About Abdullahi
AI Automation Specialist | n8n, GoHighLevel, AI Agents & Voice AI
Kano, Nigeria - 7:28 pm local time
Not workflows that break the week after handover. Systems with error handling, retries, and monitoring built in, documented so your team runs them without me.
WHAT I BUILD
AI Agents & Chatbots
Lead scoring, customer support, and intake agents built on n8n with OpenAI and Claude, wired into your CRM and databases so they act instead of just chatting. My lead capture system validates and dedupes every submission, classifies service type and urgency with AI, logs to CRM, and replies to the lead instantly, day or night.
Voice AI
Inbound and outbound voice agents with Vapi and ElevenLabs that answer by name, qualify live, book meetings against your real calendar, and can even collect a deposit before the call ends. Missed-call text-back turns after-hours calls into booked jobs instead of voicemails.
GoHighLevel: Funnels, Campaigns & CRM
Funnels, websites, workflows, and marketing campaigns inside GoHighLevel: lead nurturing sequences, pipeline automation, appointment booking, missed-call text-back, review generation and reputation management. Snapshot and sub-account builds for agencies. Content generation and repurposing pipelines that turn one asset into weeks of posts, emails, and campaigns. Or syncing HubSpot, Airtable, and the rest of your stack into one source of truth.
AI Knowledge Systems (RAG)
Agents that answer from your actual business data, documents, SOPs, product catalogs, not generic AI guesses. Built with vector search on Supabase, deployed to WhatsApp, web chat, or internal tools. Your team and your customers get instant, accurate answers 24/7.
Document, Data & Back-Office Automation
PDFs become structured data at 95%+ accuracy in my testing, where traditional OCR manages 80-85%. Invoices checked against expected charges automatically. Deadline alert engines with escalation logic, built for environments where a single missed deadline costs $5,000. Systems designed to replace up to 16 hours a day of manual operations work.
I come from operations myself: disaster relief supply work, where a broken process costs more than money. Every workflow I ship is held to that standard.
HOW I WORK
1. You describe the process. I map the full system before building a single node.
2.. I build and test against your real data, not sample inputs.
3. Error handling, retries, and monitoring go in so nothing fails silently.
4. You get documentation your team can run without me.
Stack: n8n, GoHighLevel, Make, Zapier, OpenAI, Claude, Vapi, ElevenLabs, Twilio, Airtable, Supabase, Google Workspace, REST APIs, webhooks.
Tell me the process that eats the most hours in your week. I'll reply with exactly how I'd automate it, before you spend anything.
Steps for completing your project
After purchasing the project, send requirements so Abdullahi can start the project.
Delivery time starts when Abdullahi receives requirements from you.
Abdullahi works on your project following the steps below.
Revisions may occur after the delivery date.
Review samples
I review your samples and send a scope doc: every field extracted, validation rules, and how edge cases get handled.
Build extraction pipeline
I build the extraction pipeline and sync, and share progress as I go.