Business needs we solve

Organisations face a growing challenge: distinguishing legitimate customers from increasingly sophisticated fraud attempts. AdviceRobo helps businesses assess trust before exposure, using real-time intelligence to detect synthetic identities, uncover fraud networks, and support confident decision-making.

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Prevent Synthetic Identity Fraud

Identify fabricated and manipulated identities before onboarding and lending decisions are made.


Detect Fraud Networks

Uncover hidden connections, mule accounts, coordinated applications, and organised fraud activity.


Strengthen Onboarding Decisions

Move beyond traditional verification by assessing trust signals across identity, behaviour, and digital footprint.


Reduce First-Payment Defaults

Identify identity-related risk before disbursement and prevent avoidable losses.

Real-world applications

AdviceRobo’s AI is transforming financial services, lending, and embedded finance. Here are some of the key pain points we solve:


Synthetic Identity Detection

Detect high-risk applicants before fraud exposure occurs.


Fraud Network Intelligence

Identify clusters, mule accounts, and coordinated fraud activity across channels.


Digital Onboarding Intelligence

Assess trust in real time while maintaining a seamless customer experience.


Purchase Fraud Prevention

Reduce fraud across e-commerce, BNPL, and digital platforms. Online purchase fraud continues to increase as fraudsters build increasingly sophisticated digital identities.


SME Fraud Intelligence

Identify fraudulent businesses and suspicious application patterns before onboarding.


Trust Intelligence for Credit Decisions

Combine fraud intelligence and credit intelligence within a single decision framework.

Preventing First-Payment Defaults in Auto Finance

A leading auto finance provider in Mexico faced a growing challenge: more than 130 first-payment default cases every month. Investigations revealed that many of these losses were not caused by poor credit quality, but by synthetic borrowers, fake addresses, and dealer-linked fraud patterns.

Using AdviceRobo’s Trust Intelligence platform, the lender analysed identity consistency, phone age, address linkage, dealer behaviour, and network exposure before loan approval. This enabled the organisation to identify suspicious applications before vehicles were delivered.

The results?

  • Earlier detection of synthetic identities and fraudulent applications
  • Reduced exposure to first-payment defaults
  • Improved dealer monitoring and fraud governance
  • Explainable audit trails for risk and compliance teams

By assessing trust before exposure, the lender transformed fraud prevention from a reactive process into a real-time decision capability.

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Preventing Synthetic Identity & Mule Fraud in Digital Lending

A leading digital lender was seeing synthetic identities and mule accounts slip through traditional onboarding checks, increasing fraud risk and operational costs.

Using AdviceRobo’s Trust Intelligence platform, the lender combined application data with behavioural and network signals to assess trust in real time and identify suspicious applicants before account creation.

The results?

  • Automated onboarding in under 2 minutes
  • Suspicious identities flagged before account creation
  • Fewer manual reviews
  • Reduced fraud exposure across the portfolio
  • Stronger protection against synthetic identities and mule networks
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Ready to Build Trusted Decisions?

Fraud has evolved from fake documents to engineered trust. Discover how AdviceRobo helps organisations assess trust, detect fraud, and make better decisions in real time.


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