Open-source ERP reconciliation and audit intelligence for stock-to-GL matching, work orders, WIP, Odoo/SAP exports, and local-first control reporting.

Build AI-driven crypto trading infrastructure with compliance-first tools for trusted digital finance

Portfolio project: simulated D.Lgs. 231/2001 compliance model, risk assessment, internal controls, OdV flows and whistleblowing procedure for a fictional retail SME.

Automated AR month-end close engine: subledger-to-GL reconciliation, bad-debt reserve, SOX-style controls, and an independent reviewer that catches preparer errors. Python.

Portfolio project: simulated Vendor Due Diligence, KYB and Third-Party Risk Assessment system for a fictional retail SME, including supplier scoring, red flags, escalation procedure and sample report.

An AI-powered CLI tool designed to automate the documentation of IT General Controls (ITGC) Design & Implementation (D&I) reviews. Utilises Claude’s multimodal vision to analyse evidence, perform gap analysis against tailored procedures, and generate professional, Power BI-ready Excel workpapers.

Finance systems requirements pack generator for ERP, controls, UAT, BRD and finance transformation workflows.

Expert SOX 404 ITGC compliance guidance as a Claude Skill. PCAOB AS 2201, COSO 2013, Big Four audit methodology, plus a Build Chain of Custody pattern for modern engineering.

Rysqer ICFR operating model — why SOX execution breaks between ownership, evidence and testing.

Automated AP close: 3-way match, duplicate-payment detection, GRNI accrual, GL tie, vendor recon, intercompany stress test. Python, 35 tests in CI.

Synthetic Continuous Controls Monitoring project for Procure-to-Pay audit analytics, focused on traceable findings, control evidence, materiality, run manifests and data quality.

Decision-ready financial systems architecture: ledgers, ERP design, controls, reporting intelligence, and implementation notes.

Finance controls and audit-readiness dashboard for Odoo-compatible accounting exports.

Internal Control Standards are frameworks of policies and procedures designed to provide reasonable assurance regarding the achievement of objectives in operational effectiveness, reliable financial reporting, and compliance with laws and regulations.

Copy/paste library of 39 analytical prompt templates and output templates for AI-assisted work at financial institutions — financial-crime compliance, controls and independent testing, model and data governance, regulatory, research, and market analysis.

Scenario‑based cyber risk analyses demonstrating how privileged account abuse and third‑party vendor breaches escalate into business impact. Uses NIST‑aligned methods, threat pathways, and quantitative scoring to support clear, executive‑level risk decisions.