Fraud Fighter Training Demo

Step 1: Show Examples

Upload 10-20 examples of BOTH valid and fraudulent transactions so your Fraud Fighter learns YOUR company's normal patterns vs. suspicious activity.

• Valid Customer Examples

TechCorp Industries - $50K Annual Contract

Verified company, 3 years in business, Fortune 1000

Domain: techcorp.com (2015) Email: procurement@techcorp.com LinkedIn: 500+ employees

• Learned

Global Solutions LLC - $25K Contract

Established customer, 5 renewals, payment history clean

Domain: globalsolutions.com (2010) Verified Address D&B Rating: A+

• Learned

Fraudulent/Suspicious Examples

XYZ Consulting Inc - $75K Contract

Domain registered 2 weeks ago, no online presence, PO Box address

Domain: xyzconsulting.biz (14 days old) Email: Gmail account No LinkedIn/social

• Learned

AcctServices Ltd - $30K Contract

Email from CFO we've never met, urgent payment request, offshore address

Unsolicited contact Pressure tactics Unusual payment terms

• Learned

+ 16 more examples (valid & fraudulent)...

• All Learned

🧠 What Your Fraud Fighter Learned:

Valid Customer Patterns:

• Domain age typically 2+ years
• Corporate email addresses
• Verifiable physical address
• Active LinkedIn/social presence
• D&B or credit rating available

Red Flags to Watch:

New domains (< 6 months)
Personal email addresses
PO Box or offshore addresses
No online presence
Urgent/pressure tactics

Step 2: Review & Correct

Now your Fraud Fighter will analyze a NEW customer contract. Review its assessment and make corrections. It learns from your expertise.

NEW: CloudTech Solutions - $85K Annual SaaS Contract

Inbound sales lead, contract signed quickly, requesting immediate setup

Company: CloudTech Solutions Inc

Contact: james.mitchell@cloudtechsol.com

Value: $85,000/year

Payment: Wire transfer (unusual)

Fraud Fighter's Initial Assessment:

RISK ASSESSMENT

LOW RISK

Score: 25/100 (Low Fraud Risk)

INCORRECT

Your Correction:

This should be HIGH RISK (75/100). Multiple red flags present that Side-Kick missed.

Domain Age Check

cloudtechsol.com registered 45 days ago

MISSED

Your Correction:

RED FLAG: Domain less than 6 months old. This is a major warning sign based on your training examples.

Email Verification

Corporate email domain matches company

• CORRECT

Online Presence Verification

LinkedIn shows 3 employees, company page created 30 days ago

MISSED

Your Correction:

YELLOW FLAG: Minimal online presence. Legitimate $85K/year companies typically have established digital footprint.

Payment Terms Analysis

Requesting wire transfer instead of standard ACH/check

MISSED

Your Correction:

RED FLAG: Wire transfer unusual for new customers. Your company policy requires ACH/check for first transaction.

Fraud Fighter Updated Its Model:

• Learned: Domains < 90 days = HIGH RISK (previously was 30 days threshold)
• Learned: Small LinkedIn presence on large contracts = YELLOW FLAG
• Learned: Wire transfer requests from new customers = RED FLAG
• Pattern reinforced: Multiple yellow flags together = escalate to HIGH RISK
• Confidence increased: 72% > 89% for new customer fraud detection

Generated Output (After Your Corrections):

HIGH FRAUD RISK DETECTED

Customer: CloudTech Solutions Inc • Contract Value: $85,000

Risk Score: 75/100 (High Risk)

🚩 Critical Red Flags (3):

• Domain Age: Registered only 45 days ago (threshold: 90 days)
• Payment Terms: Wire transfer requested (policy violation for new customers)
• Urgency: Immediate setup requested without standard onboarding

Warning Signs (2):

• Limited Online Presence: Only 3 LinkedIn employees for $85K contract
• Company Age: LinkedIn page created 30 days ago

Recommendation:

🛑 DO NOT PROCEED until enhanced verification complete

DETAILED RISK BREAKDOWN

Customer Verification Risk 85/100

New entity, minimal verification possible

Contract Validity Risk 65/100

Unusual terms, rapid execution

Payment Fraud Risk 90/100

Wire transfer = high fraud indicator

Pattern Comparison:

Similar to Valid Customers:

• Corporate email format

• Contract value in range

Similar to Fraud Cases:

• New domain

• Unusual payment request

• Limited verification data

SUGGESTED NEXT STEPS

🛑 Immediate Actions:

1. Pause contract execution - Do not proceed with setup
2. Block wire transfer - Require ACH or check for first payment
3. Escalate to finance manager - Manual review required

Enhanced Verification Required:

• D&B Report: Request Dun & Bradstreet business verification
• Video Call: Schedule meeting with signing authority
• Reference Check: Request 2 customer/vendor references
• Physical Verification: Confirm office address exists
• Background Check: Verify signing authority identity

If Verification Passes:

• Start with pilot/trial period (30 days)
• Require ACH payment (no wire transfer)
• Monthly billing instead of annual prepay
• Monitor account activity closely

Notification Sent:

Email sent to: finance@yourcompany.com, risk@yourcompany.com

Subject: HIGH RISK ALERT - CloudTech Solutions contract flagged for fraud review

Step 3: Automate & Scale

After 2-3 weeks of training, your Fraud Fighter now monitors ALL new customers automatically. You only review flagged cases.

Today's Monitoring Queue

47 new customers analyzed automatically

DataFlow Systems Inc - $45K Contract

Established company, all verification passed

• Auto-approved

Risk: 15/100 (Low)

CLEARED

Enterprise Solutions LLC - $120K Contract

Fortune 500 company, verified domain 8 years old

• Auto-approved

Risk: 8/100 (Very Low)

CLEARED

QuickTech Consulting - $95K Contract

Multiple fraud indicators detected

High Risk Alert

Risk: 82/100 (High)

REVIEW

Red Flags:

• Domain: 22 days old

• Email: Gmail account

• Address: PO Box

• Payment: Wire transfer requested

StartupCo Technologies - $35K Contract

New company, some verification needed

Medium Risk

Risk: 45/100 (Medium)

VERIFY

Suggested: Request D&B report before approval

+ 43 more customers auto-processed

• All Cleared

Performance This Month

92%

Auto-Cleared

412 of 448 customers

100%

Fraud Caught

8 fraudulent attempts blocked

$680K

Fraud Prevented

Estimated loss avoided

Continuous Improvement

Your Fraud Fighter keeps learning from every review you make:

Month 1 (Training):

65% accuracy • Many false positives

Month 2:

88% accuracy • Learning your patterns

Month 3 (Now):

97% accuracy • Catches subtle indicators

Month 6 (Projected):

99%+ accuracy • Expert-level detection

Automated Integrations:

• Active Integrations

• Email alerts to finance team
• Slack notifications for high-risk
• CRM tagging (Salesforce)
• Auto-block in payment system

Data Sources

• WHOIS domain lookup
• LinkedIn API verification
• D&B credit checks
• Your historical customer data

Back to Home

Step 1: Show Examples

• Valid Customer Examples

Fraudulent/Suspicious Examples

🧠 What Your Fraud Fighter Learned:

Step 2: Review & Correct

Fraud Fighter's Initial Assessment:

Fraud Fighter Updated Its Model:

Generated Output (After Your Corrections):

Step 3: Automate & Scale

Today's Monitoring Queue

Performance This Month

Continuous Improvement

Automated Integrations:

Ready to Train Your Own Fraud Fighter?