Swiftask analyzes your Cheddar transaction flows in real time. Your AI agents identify suspicious gaps and alert you before they escalate into issues.
Result:
Secure your revenue and strengthen financial compliance without complex manual intervention.
AI Agents
cheddar
Connector cheddar · Secure OAuth 2.0
Manually monitoring thousands of transactions on Cheddar is an impossible task for financial teams. Discrepancies, payment errors, or billing anomalies often remain invisible for days, leading to financial loss and compliance risks.
Main negative impacts:
Revenue loss risks
An undetected billing anomaly can be costly in terms of unpaid invoices or recurring calculation errors on your subscriptions.
Complex financial audits
Without proactive detection, month-end audits become time-consuming investigations to find the root cause of a discrepancy.
Limited reaction to fraud
Suspicious transaction behaviors require immediate action to protect your cash flow, which humans cannot guarantee 24/7.
Swiftask automates the monitoring of your Cheddar account. Our AI agents scan every financial movement, compare data against your business rules, and alert you instantly when an anomaly is detected.
BEFORE / AFTER
Manual discrepancy management
Your finance team exports Cheddar reports every week, compares them with spreadsheets, and manually searches for errors. If an anomaly occurs on Tuesday, it is only discovered on Friday, too late for effective correction.
AI monitoring with Swiftask
As soon as an unusual transaction is recorded in Cheddar, the Swiftask agent compares it instantly to your reference thresholds. If a gap is identified, an alert is sent in real time with all the details needed for immediate resolution.
1
STEP 1 : Connect your Cheddar instance
Integrate Cheddar with Swiftask via a secure API connection. No complex infrastructure is required.
2
STEP 2 : Define your detection rules
Configure alert thresholds or normal behavior models (e.g., unusual amounts, abnormal frequency).
3
STEP 3 : Enable smart notifications
Choose your alert channel (Slack, Email, Teams) to be warned as soon as an anomaly is isolated by the AI.
4
STEP 4 : Monitor and adjust
View alerts in the Swiftask dashboard and fine-tune agent settings to reduce false positives.
The agent examines amounts, currencies, transaction frequency, and customer history to isolate statistical deviations.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-cheddar@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.
Identify payment errors before they impact your actual cash flow.
Delegate tedious monitoring to AI so your teams can focus on analysis and strategy.
Maintain a clear audit trail of all alerts and corrective actions taken.
Eliminate human bias in verifying your transaction data.
Whether you have 10 or 10,000 transactions, the AI agent maintains the same level of vigilance.
Swiftask applies enterprise-grade security standards for your cheddar automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several days (manual audit) | A few seconds (real time) |
| Undetected errors | Significant volume | Near-zero rate |
| Audit cost | High (internal resources) | Reduced (automation) |
| Data confidence | Recurring uncertainty | Total and validated visibility |
Secure your revenue and strengthen financial compliance without complex manual intervention.