ProcureGuard AI — Intelligent Procurement & Invoice Automation
Enterprise-focused procurement automation and financial validation system.
ProcureGuard AI is an independent software engineering project designed to help businesses improve procurement data accuracy, identify invoice discrepancies, and establish reliable approval and audit processes.
The Business Problem
Organizations often manage supplier records, purchase orders, invoices, and approval processes across disconnected systems.
Manual verification can make it difficult to identify pricing discrepancies, duplicate records, inconsistent quantities, and other procurement anomalies.
My Solution
I designed and implemented a structured procurement database foundation with secure tenant isolation, relational integrity, and validation rules.
The system architecture supports automated procurement checks, anomaly tracking, approval management, and auditability.
Key Features and Capabilities
Multi-tenant procurement data architecture
Supplier and product management
Purchase order and invoice data models
Pricing and quantity validation
Supplier agreement and price-history controls
Procurement anomaly tracking
Approval and audit-log structures
Row-Level Security (RLS)
Database constraints and integrity testing
Workflow automation architecture
Technology Stack
PostgreSQL, Supabase, SQL, n8n, REST APIs, and workflow automation.
My Role
AI Automation Engineer & Backend Systems Developer
Project Status
Independent development and validation project. Database security, relationships, and integrity rules have been tested. Production deployment and measured customer outcomes are not claimed.
Business Applications
Procurement teams, wholesale distributors, inventory-driven businesses, finance operations, and organizations seeking custom procurement validation systems.
Interested in automating procurement or financial workflows? Let's discuss your business requirements.
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1 month. 267 warm leads. 55 meetings booked.
I ran a 30-day B2B lead generation campaign covering prospect research, outreach and appointment setting.
The starting list was 267 warm leads ([what made them warm, e.g. past inquiries]). 198 replied and 55 booked a meeting, a 20.6% lead-to-meeting rate. These were warm leads, not cold outreach, so the result shows what a focused follow-up process can do with a good list.
I help B2B teams turn their leads into booked meetings. Open for projects. Message me to talk about your pipeline.
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Turning Prospects Into Sales Opportunities
A practical showcase of my B2B lead generation process-from finding the right companies and decision-makers to qualifying prospects and organizing targeted outreach.
The focus is on quality over quantity: identifying relevant prospects, creating meaningful outreach, and building a structured pipeline that supports real sales conversations.
This work covers:
1. ICP & prospect research 2. Decision-maker identification 3. Lead qualification 4. Targeted outreach 5. Follow-up & pipeline organization
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I managed the end-to-end lead generation and appointment booking process for an education/admissions consulting business, sourcing and tracking 758 leads, qualifying 430 prospects, booking 227 consultations, and supporting 173 completed sessions. My role focused on targeted prospecting, personalized outreach, consistent follow-ups, lead qualification, and turning engaged prospects into genuine consultation opportunities.
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