You will get a controlled invoice intake and reconciliation workflow with human approval
Project details
You will get a controlled invoice-intake and reconciliation workflow designed around your existing accounting rules and approval matrix. The system can capture invoices, extract agreed fields, validate required data, check duplicates, compare available purchase-order information, route exceptions, request human approval, and prepare approved records for an in-scope accounting destination. It does not make accounting judgments, approve invoices, initiate payments, or override segregation-of-duties controls. Ambiguous, mismatched, high-value, or policy-sensitive records remain human-controlled. Delivery includes scoped integrations, representative testing, logged exception paths, alerts, configuration notes, and handoff documentation. Extraction and matching performance depend on document quality, vendor consistency, source data, rules, and API capabilities; limitations and acceptance criteria are documented.
Project Type
Data AnalysisWhat's included
| Service Tiers |
Starter
$500
|
Standard
$900
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500Frequently asked questions
About Boye'
AI Automation Engineer | n8n, Make & OpenAI API | Reliable Systems
Chicago, United States - 10:43 pm local time
My work begins by understanding how the process actually operates—its business rules, bottlenecks, exceptions and human decisions. I then translate the approved workflow into tested automation with clear failure handling, monitoring and documentation.
Selected implementation evidence
• Designed an 18-node lead-qualification workflow using validation, email verification, AI scoring, enrichment and tiered routing
• Tested the workflow with 57 merged records and routed 42 duplicate records through an explicit duplicate path
• Built ExoCore OS, a governed operations console with approval boundaries, decision history and 33/33 passing database tests
• Documented a reusable methodology for observing, measuring, redesigning, validating and automating business processes
What I can help you build
• Lead qualification and CRM-routing systems
• n8n and Make workflows
• OpenAI API integrations and structured outputs
• Data extraction and document-processing workflows
• Airtable and operational database systems
• Error handling, alerts and human-review paths
• Process maps, SOPs and implementation documentation
Before moving into AI automation, I spent eight years working in regulated clinical-research operations. That experience taught me that reliable systems must be accurate, traceable, documented and accountable.
My core stack includes n8n, Make, OpenAI API, Airtable, Supabase, APIs, webhooks and JSON.
If you have a manual workflow that is difficult to scale or an automation that is unreliable, send me the current process and the outcome you need. I will help you determine the safest and simplest implementation path.
Steps for completing your project
After purchasing the project, send requirements so Boye' can start the project.
Delivery time starts when Boye' receives requirements from you.
Boye' works on your project following the steps below.
Revisions may occur after the delivery date.
Process & Control Design
Map invoice intake, required fields, matching rules, approval thresholds, accountable roles, exceptions, and success criteria.
Secure Integration Setup
Configure approved connections with least-privilege access and define data flow, storage, retention, and audit-log behavior.