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Boost your Checkout.com fraud detection with AI

Swiftask connects your AI agents to Checkout.com for proactive transaction monitoring. Identify suspicious behavior before it turns into financial loss.

Result:

Secure your revenue, reduce decline rates, and protect your reputation with intelligent payment analysis.

Payment fraud threatens your growth and profitability

Manual management of fraud alerts on Checkout.com is no longer scalable. Risk teams are overwhelmed, false positives block legitimate customers, and real threats slip through the cracks.

Main negative impacts:

  • Too slow to react: Without automation, fraud alerts are handled after the fact, making refunds or transaction cancellations complex.
  • Costly false positives: Blocking a good customer by mistake leads to immediate revenue loss and damages user experience.
  • Operational burden: Manually analyzing every suspicious transaction drains your team's energy and prevents focus on strategic prevention.

Swiftask deploys AI agents that continuously scan Checkout.com data. They apply your risk policies to isolate suspicious transactions and trigger immediate alerts.

BEFORE / AFTER

What changes with Swiftask

Traditional risk management

A support team manually checks a list of fraud alerts at the end of the day. The volume is too high, decisions are made under pressure, and fraudulent transactions are approved while valid customers are penalized.

AI-powered monitoring with Swiftask

The Swiftask AI agent analyzes every Checkout.com transaction in real-time. It cross-references data with your risk rules and instantly notifies your team only for complex cases, drastically reducing response time.

Setting up your fraud monitoring in 4 steps

STEP 1 : Initialize your risk agent

Configure an agent specialized in compliance and risk within the Swiftask platform.

STEP 2 : Secure connection to Checkout.com

Pair your Checkout.com account via API to allow the agent read-only access to transaction data.

STEP 3 : Define criticality thresholds

Set the criteria that trigger an alert (e.g., unusual amount, suspicious IP, repeated card failures).

STEP 4 : Activate continuous monitoring

The agent runs in the background, analyzing every flow and sending actionable alerts to your collaboration tools.

Advanced monitoring capabilities

The agent processes thousands of transaction data points, including geolocation, browsing behavior, and payment history.

  • Target connector: The agent performs the right actions in checkout.com based on event context.
  • Automated actions: Instant alerts on Slack/Teams for high-risk cases. Automatic generation of daily fraud trend reports. Automated preventive blocking based on your rules. Secure archiving for audit and compliance.
  • Native governance: Swiftask does not store any sensitive credit card data, ensuring PCI-DSS compliance.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-checkout.com@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Strategic benefits of automation

1. Reduction in financial loss

Early detection of fraudulent transactions before payment finalization.

2. Improved acceptance rate

Reduce manual rejection errors and increase validated revenue.

3. Simplified compliance

Complete history of every decision made by the AI for your compliance reports.

4. Processing speed

Risk analysis in milliseconds, far faster than human intervention.

5. Operational scalability

Your monitoring capacity automatically scales with your transaction volume.

Security and data protection

Swiftask applies enterprise-grade security standards for your checkout.com automations.

  • Secure architecture: Swiftask uses encrypted connections compliant with industry standards.
  • Sensitive data respect: No credit card data is retained or exposed by the agent.
  • Full control: You maintain control over rules and can disable the agent instantly.
  • Decision traceability: Every alert is logged with the AI's reasoning for a full audit.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance metrics

MetricBeforeAfter
Detection timeHours/DaysReal-time (< 1 second)
False positive rateHigh (manual)Reduced by contextual analysis
Risk team time100% loadFocused only on critical cases
Fraud lossesVariableMinimized

Take action with checkout.com

Secure your revenue, reduce decline rates, and protect your reputation with intelligent payment analysis.

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