Fraud Awareness Training 2026: Fraud, AI and Accountability

Why this matters

Whether you lead an NGO, fund development programmes, run a business as a CEO or manage public funds, fraud threatens more than your finances. It can interrupt services, damage relationships and destroy confidence in your leadership.

These practical sessions will help you recognise warning signs, strengthen controls and respond effectively. Each session uses relevant cases and produces a tool or action plan participants can apply to reduce value leakage and increase organisational value.

Practical AI use throughout the programme

Participants learn how to use AI to prioritise suspicious transactions, compare records, identify unusual patterns and organise investigation material. AI alerts guide further review. People verify the evidence and remain accountable for decisions.

Session formats and fees

Pricing depends on when and how a session is delivered. Choose a format on the right, then tell us your preferred topic and date. We will schedule you and confirm by email.

Twenty fraud awareness training topics

Choose the training that addresses your organisation's exposure.

1. AI, Deepfakes and Digital Deception: Verify Before You Trust
   Who needs it most: All staff, executives, finance teams and business owners
   Practical learning outcome: Recognise impersonation risks involving cloned voices, fake videos and fabricated documents. Practise independently verifying requests before releasing money or confidential information.
2. Predictive Fraud Management: Use AI to Flag Risk Before Money Moves
   Who needs it most: Finance, risk, audit, procurement and technology teams
   Practical learning outcome: Develop a sample approach for scoring payment risk using transaction history, supplier information and approval patterns. Set clear thresholds for human review before payment.
3. The Enemy Within: Detect Employee and Management Fraud
   Who needs it most: CEOs, HR, finance, operations and internal audit
   Practical learning outcome: Identify payroll manipulation, false expenses, stock theft and management override. Build checks that address collusion and excessive access to systems and assets.
4. Fraud Red Flags and Internal Controls: Close the Gaps That Cost You Money
   Who needs it most: Department heads, supervisors and control owners across all sectors
   Practical learning outcome: Map a vulnerable process, identify where fraud could occur and strengthen its weakest controls. Leave with a checklist covering approvals, verification, access and reconciliation.
5. Speak Up Early: Turn Fraud Reports into Timely Action
   Who needs it most: All employees, boards, HR, compliance and investigation teams
   Practical learning outcome: Recognise reportable concerns, use appropriate reporting channels and handle allegations confidentially. Establish clear responsibilities for assessment, escalation and protection against retaliation.
6. Protect Every Payment: Mobile Money, Banking and Online Transaction Fraud
   Who needs it most: Businesses, SACCOs, NGOs, schools, finance teams and payment operators
   Practical learning outcome: Verify recipients, control payment approvals, recognise suspicious changes and reconcile transactions promptly. Practise responding when a payment goes to a suspected fraudster.
7. Protect Donor Funds: Verify Expenditure, Beneficiaries and Project Results
   Who needs it most: NGOs, implementing partners, project managers and grant accountants
   Practical learning outcome: Trace funds from approved budgets to actual delivery. Use data checks and AI-assisted matching to flag possible duplicate beneficiaries, double charging and unsupported expenditure for verification.
8. Conflicts of Interest, Bribery and Corruption: Expose Hidden Influence
   Who needs it most: Boards, public officials, procurement teams, NGOs and business leaders
   Practical learning outcome: Identify relationships and incentives that could compromise decisions. Apply disclosure, independent review and escalation procedures to supplier selection, recruitment, grants and approvals.
9. The CEO’s Fraud Agenda: Protect Growth Without Weakening Accountability
   Who needs it most: CEOs, entrepreneurs, boards and senior management
   Practical learning outcome: Set clear fraud responsibilities, challenge management overrides and align incentives with responsible conduct. Develop a concise leadership dashboard that connects warning signs to decisions and action.
10. From Suspicion to Evidence: Investigate Effectively with AI Support
    Who needs it most: Investigators, internal auditors, HR, compliance and legal teams
    Practical learning outcome: Preserve original records and use AI to help organise documents, compare accounts and build an evidence-linked timeline. Verify every finding against its source before drawing conclusions.
11. The Profit That Is Not There: Detect Revenue and Financial Reporting Manipulation
    Who needs it most: Boards, CFOs, investors, lenders, funders and auditors
    Practical learning outcome: Compare reported performance with cash flows and supporting records. Identify unusual journals, unsupported revenue, concealed liabilities and adjustments that require further investigation.
12. The Invoice That Looked Genuine: Stop Phishing and Business Email Fraud
    Who needs it most: All staff, especially finance, procurement and executive assistants
    Practical learning outcome: Recognise manipulated payment requests, compromised email accounts and fraudulent supplier changes. Practise a verification process that works even when an email appears to come from a trusted person.
13. Healthcare Fraud: Protect Medicines, Claims and Patient Care
    Who needs it most: Health ministries, hospitals, clinics, insurers and health NGOs
    Practical learning outcome: Cross-check claims, treatment records, medicine issues and stock movements. Use analytics to flag repeated claims, unusual billing and unexplained shortages for targeted review.
14. Fraud in Education: Protect School Fees, Assets and Public Trust
    Who needs it most: School owners, governing bodies, headteachers, bursars and universities
    Practical learning outcome: Reconcile student records, fees, bank receipts, bursaries and payroll. Build practical checks against diverted collections, false refunds, procurement abuse and asset theft.
15. Procurement and Supplier Fraud: Verify the Bid, the Supplier and the Delivery
    Who needs it most: Government entities, NGOs, companies, procurement teams and project managers
    Practical learning outcome: Use document review and data analysis to flag suspicious awards, supplier relationships, pricing and contract changes. Strengthen checks that confirm goods and services were actually delivered.
16. Funder Assurance: Know Where Your Money Went and What It Achieved
    Who needs it most: Donors, foundations, development partners, grant committees and programme officers
    Practical learning outcome: Build a partner risk scorecard, verify reported results and target monitoring visits. Use evidence to guide funding decisions, additional checks and corrective action.
17. Growing Sales, Disappearing Cash: Find Fraud and Leakage in Your Business
    Who needs it most: Entrepreneurs, family businesses, retailers, manufacturers and distributors
    Practical learning outcome: Introduce a weekly owner’s review of cash, stock, credit sales, discounts and refunds. Identify unexplained differences and assign follow-up without having to approve every transaction personally.
18. Public Money, Real Services: Detect Ghost Workers, False Beneficiaries and Undelivered Projects
    Who needs it most: Ministries, departments, agencies, local governments and public programmes
    Practical learning outcome: Link payroll, beneficiary, expenditure and delivery records to identify exceptions. Prioritise physical verification and assign responsibility for resolving unsupported payments.
19. Continuous Fraud Monitoring: Build an AI Early-Warning Dashboard
    Who needs it most: Risk, audit, finance, compliance and technology teams
    Practical learning outcome: Design a monitoring dashboard that combines rules and AI-generated risk scores. Assign alert owners, set response deadlines and measure useful detections, false alarms and unresolved cases.
20. Can You Trust Your Fraud Detection AI? Test It Before You Rely on It
    Who needs it most: Boards, executives, model owners, auditors and technology leaders
    Practical learning outcome: Test predictions against verified cases, assess missed fraud and false alerts, and check for unfair outcomes. Establish human review, secure data handling and regular reassessment as fraud patterns change.