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.
AI Agents
checkout.com
Connector checkout.com · Secure OAuth 2.0
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
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.
1
STEP 1 : Initialize your risk agent
Configure an agent specialized in compliance and risk within the Swiftask platform.
2
STEP 2 : Secure connection to Checkout.com
Pair your Checkout.com account via API to allow the agent read-only access to transaction data.
3
STEP 3 : Define criticality thresholds
Set the criteria that trigger an alert (e.g., unusual amount, suspicious IP, repeated card failures).
4
STEP 4 : Activate continuous monitoring
The agent runs in the background, analyzing every flow and sending actionable alerts to your collaboration tools.
The agent processes thousands of transaction data points, including geolocation, browsing behavior, and payment history.
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.
Early detection of fraudulent transactions before payment finalization.
Reduce manual rejection errors and increase validated revenue.
Complete history of every decision made by the AI for your compliance reports.
Risk analysis in milliseconds, far faster than human intervention.
Your monitoring capacity automatically scales with your transaction volume.
Swiftask applies enterprise-grade security standards for your checkout.com automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Hours/Days | Real-time (< 1 second) |
| False positive rate | High (manual) | Reduced by contextual analysis |
| Risk team time | 100% load | Focused only on critical cases |
| Fraud losses | Variable | Minimized |
Secure your revenue, reduce decline rates, and protect your reputation with intelligent payment analysis.