You will get an AI system that turns scanned forms and PDFs into clean records
Project details
Typing forms and invoices into a system by hand is slow and error-prone and it does not scale. I build an AI pipeline that reads your scanned forms and PDFs, pulls the data, matches each record against what you already have so nothing doubles up and writes a clean entry to Airtable or your CRM. A review queue catches anything the system is unsure about instead of guessing. I built a document pipeline that cut processing from 30 minutes a form to under 2 minutes and a purchase-order pipeline that handled 22 document formats across a thousand pages a month with a human review step for the edge cases. You get a system that turns a pile of documents into clean records and a clear review process for the exceptions. Send me a few sample documents and tell me where the data should land and I will tell you what accuracy is realistic.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DB, LevelDBWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,250
|
Advanced
$2,400
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 4 |
Source Code |
Frequently asked questions
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PA
Pedro A.
Jun 24, 2026
Experto en Zapier, Twilio (Studio/IVR) y Retell AI para Automatización de Centro de Pet Rehab
Good experience working with Joshua! I recommend !
DW
Devon W.
Jan 12, 2026
Complete the Alpine Print PDF-to-Airtable automation workflow (Milestone 2)
Problem-solver and delivers on time, will definitely hire again.
AK
Anna K.
Oct 10, 2023
Finance/Business writers wanted across different niches -potential for long term work
TV
Tommy V.
Jan 18, 2023
1000 words article
Great informative article and perfect communication!
DM
David M.
Oct 25, 2022
Expert writer on horror games
This freelancer is OK with basic content writing but not experienced enough to handle any creative article writing. He tried hard and did two rewrites, but it didn't help - in the end, I could not publish his work on my blog. But I do set my bar quite high for content. Many other blogs might find his work acceptable.
On the positive side, he is punctual and probably OK with simple content work.
On the positive side, he is punctual and probably OK with simple content work.
About Olusegun
AI Automation & AI Agents | GoHighLevel, n8n, Make .com, Zapier, VAPI
100%
Job Success
Ibadan, Nigeria - 5:50 am local time
13 production builds across real estate, healthcare, pet rehab, e-commerce, home services, security operations, B2B publishing and AI agencies.
Most clients come to me after a build broke silently, leads went missing without explanation, follow-up stopped firing or staff started spending hours on work that should run itself. Half the time what looks like a bug is an undocumented platform behaviour that only surfaces at scale. I find what is actually wrong, fix it and rebuild it to hold up under real usage.
What I build
GoHighLevel automation
Pipeline architecture, workflow branching, snapshot templates and sub-account standardisation for agencies. Native Conversation AI configuration (knowledge base training, Goals and Actions, Test and Train before go-live), sending domains with SPF, DKIM and DMARC, Facebook Lead Form mapping verification (a setting that silently kills lead capture when wrong) and GHL-to-n8n bridges for what GHL cannot do natively.
AI voice agents on VAPI and Retell
Inbound and outbound, cloned voices via ElevenLabs, voicemail detection, retry chains across AM and PM slots, DNC and STOP compliance, payment-linked booking.
Workflow orchestration on n8n, Zapier and Make .com
Cloud and self-hosted n8n, multi-workflow patterns, cursor-based pagination past API limits, validation layers that route failed records to a review queue instead of writing bad data.
LLM integration with the Claude API and OpenAI
Structured outputs for scoring and classification, voice agent conversation handling, content generation at under $10 a month on production volume.
Selected builds
White-label GoHighLevel sub-account delivery for a US AI operations agency. Vertical snapshot deploys, Custom Values from onboarding data, native Conversation AI configured and tested across three inbound scenarios, handover as a client-ready screen recording.
Booking and operations system for a pet rehab practice. A Retell voice call creates the record, the booking link goes out by SMS, a paid submission flips the same record to booked and paid, reminders and change rules run on their own.
AI voice agent for an Australian consultant. Cloned voice calls fresh leads within 62 seconds of form submission, qualifies through an 11-step conversation and books the meeting itself, with a 4-attempt retry chain.
Klaviyo to GoHighLevel migration for a supplement store. Cart recovery activated on 357 captured carts worth $6,675, lifetime value synced for 1,264 customers for VIP tagging.
License reconciliation for a managed security provider. One n8n system pulling 6 security platforms across 75+ client organisations into an automated monthly report.
Document automation for a construction subcontractor. 1,000+ pages of purchase orders a month across 6 builder formats parsed into clean records with zero manual entry.
Every handover includes a Loom walkthrough recorded in your environment, written SOPs your team can run alone and an error playbook covering the failure modes most likely to hit your stack.
Send me what you have. A broken automation, missing leads, a manual process eating hours or a GoHighLevel setup that needs cleanup. I will tell you what is wrong and what it takes to fix it.
Steps for completing your project
After purchasing the project, send requirements so Olusegun can start the project.
Delivery time starts when Olusegun receives requirements from you.
Olusegun works on your project following the steps below.
Revisions may occur after the delivery date.
Samples and rules
I study your real documents, match the fields to extract and agree the validation and duplicate rules with you before building.
Build the pipeline
I build the vision extraction, the validation, the matching and dedupe and the write to your database, with a review queue for anything unclear.