AI that catches fake invoices before your money leaves the account
African supply chain businesses are increasingly victimized by surging cyber fraud as they adopt digital procurement and mobile payments without adequate protections.
InvoiceSentinel uses OCR and document intelligence to cross-check every incoming invoice against purchase orders, delivery notes, and historical vendor behavior. It detects common African procurement fraud patterns such as duplicate submissions, inflated quantities, and ghost suppliers, delivering a trust score and recommended action directly in a mobile app.
Supply chain operators, procurement managers, and SME owners in African businesses implementing digital payments and procurement
Trained specifically on East and West African invoice formats, tax IDs, and fraud tactics — with multilingual support for English, French, and local languages.
professional
Scan or upload invoices, POs, and delivery notes directly from phone camera
Extract vendor details, amounts, dates, and line items using localized models
Automatically matches invoice to corresponding PO and delivery note
Detects anomalies like price spikes, duplicate invoices, or unknown tax IDs
Mobile approval chain with comments and e-signature
API hook to prevent payment release on high-risk documents
Internal history of every supplier's past performance and red flags
Process 50+ documents at once for larger teams
French and Swahili document understanding
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| type | text | No |
| vendor_name | text | No |
| amount | int | No |
| risk_score | int | No |
| status | text | No |
| extracted_data | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| tax_id | text | Yes |
| risk_level | int | No |
| first_seen | timestamp | No |
Relationships:
/api/documentsUpload and trigger OCR/analysis
/api/matchFind matching PO for an invoice
/api/approveRecord approval decision and trigger payment gateway hook if needed
10 documents/month
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 90 | 12% | $270 | $3,240 |
| Month 6 | 680 | 21% | $3,570 | $42,840 |
AI document verification tailored for African procurement. Catch duplicates, ghost suppliers, and inflated bills before payment.
Run targeted Facebook/LinkedIn ads in Nigeria and Kenya offering free invoice audits to procurement managers (targeting job titles). Partner with two accounting firms in Accra and Nairobi who serve SMEs and offer them revenue share for referrals. Host a webinar series 'Top 7 Invoice Frauds in African Supply Chains' with free tool access for attendees.
Strong OCR
Generic, not trained on African fraud patterns or tax regimes
Region-specific models and direct integration with local mobile payment rails
Advanced AI
Too expensive and complex for African SMEs
Purpose-built $25/mo mobile-first solution for the continent
Continuously improving dataset of verified African invoice patterns and supplier tax IDs that cannot be easily replicated
Rapid digitization of procurement across Africa combined with explosion of sophisticated invoice fraud documented by PwC Africa Fraud Survey 2023.
OCR accuracy on poor quality phone photos
Implement image enhancement pipeline and fallback to manual entry for low-confidence fields
Resistance to changing existing approval processes
Focus on non-intrusive 'advisory' mode initially that augments rather than replaces current systems
Success: Validation that 80% of common fraud types are detectable via document analysis
Success: Minimum 70% accuracy reported and 10 companies willing to pay after trial
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Slash payment fees to 0.8% with seamless ACH checkouts for high-ticket creators.
Accept crypto payments at 1% fees, auto-convert to USD for creators.
Global bank transfers at 0.4% fees for international high-value creator sales.