Even as an AI novice, easily build a professional AP fraud dashboard and best-practice workflow—without coding. Use ready-made prompts, try it, and customize it to your company.
Billing schemes appear in 21% of occupational fraud cases. Their median loss is USD 90,000, and they typically continue for 14 months before detection. Yet AP fraud is often overlooked because each invoice or payment may look ordinary on its own. The real warning signs are scattered across invoice references, amounts, payment timing, vendor records, bank accounts, approval levels, and user activity.
This course turns those scattered signals into structured investigations. You will build a professional, browser-based AP Billing Fraud & Duplicate-Payment Dashboard that checks 24 defined fraud patterns and red-flag variants. But this is not only a technical build: you also receive a proven best-practice investigation workflow for assigning cases, gathering evidence, documenting reasoning, concluding or escalating, preserving review history, and continuing the work every month. The tool keeps linked evidence, status, comments, evidence references, and the conclusion together in one cumulative review file.
What you will build and do:
Your complete course package
🎁 BIG BONUS — the complete technical solution and operating workflow, not just a video course. You receive everything needed to reproduce the tool, understand it, test it, investigate cases consistently, run the monthly process, and customize it:
For You:
Whether you work in AP, P2P, accounting, controlling, finance management, internal audit, fraud examination, or consulting, you finish with more than knowledge. You finish with a tested tool, a repeatable monthly process, and a practical AI capability you can demonstrate to your team, employer, or clients.
5 activities • 28 videos • duration: 2h 53m
Practical AI for Accounting & Finance | Build Your Own Tools | Fraud Prevention, E-Invoicing & Ethics | 30 Years of Experience
My courses focus on practical applications of AI in accounting and finance, alongside fraud prevention, e-invoicing and financial reporting ethics. – AI Finance: Build and customise reconciliation tools and fraud dashboards using plain-language prompts (“vibe coding”), without prior programming experience. Learn to validate results, protect sensitive data and create repeatable workflows. – Fraud prevention and internal controls: Recognise red flags in invoices, payments, payroll and other transactions, and apply preventive controls and structured investigation methods. – E-invoicing: Understand global requirements, electronic invoice formats and opportunities to automate accounts payable and receivable. – Financial reporting ethics: Work through accounting judgments, estimates and ethical dilemmas using practical cases and decision-making tools. My teaching draws on 30 years of experience in accounting, finance leadership, internal and external audit, and transformation, including roles at Big4 firms, DELL, SSE and TOMRA. I am a Fellow of ACCA (FCCA) and the founder of E-LITE Consulting and RSAgile.
