FINTECH

AI agent for fraud detection in fintech

Fraud grows when patterns are reviewed too late: the agent crosses transactions and behaviour in real time, flags anomalies with context and lets teams decide before the loss.

AI agent for fraud detection in fintech

An AI agent for fraud detection in fintech integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

Fraud grows when patterns are reviewed too late: the agent crosses transactions and behaviour in real time, flags anomalies with context and lets teams decide before the loss.

THE CHALLENGE

fraud detection in fintech

In fraud detection in fintech, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Chargebacks hurting margin

    Chargebacks from card fraud or unjustified disputes erode margin and drive up processing fees.

  • Card-testing attacks

    Sequences of tiny amounts seek to validate stolen cards before launching the fraudulent purchase.

  • Silent account takeover

    Logins from new devices or locations go unnoticed until the damage is already done.

APPROACH

fraud detection in fintech

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Per-transaction signal analysis

    The agent weighs amount, device, geolocation and velocity to score the risk of each operation.

  2. Block and review rules

    It applies risk thresholds that block or route suspicious operations to manual review.

  3. Supervised decision on doubtful cases

    It prepares the dossier of each case under review so the analyst decides to approve, block or request data.

  4. Continuous rule tuning

    It logs every decision and outcome to refine thresholds and cut false positives.

DELIVERABLES

fraud detection in fintech

An operational, traceable agent under your control.

  • Per-operation risk score

    Each transaction receives a score with the factors behind it, ready to decide.

  • Prioritised review queue

    Doubtful cases ranked by risk and value so the team handles the critical ones first.

  • Card-testing alerts

    Detection of tiny-amount sequences with a warning before the fraud escalates.

  • Fraud and chargeback report

    Metrics on blocks, false positives and chargebacks to tune rules weekly.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

FAQ

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