Swiftask leverages your accounting data via Codat to instantly identify irregularities, entry errors, or potential fraud risks.
Result:
Strengthen your financial process compliance and reduce operational risks without manual effort.
AI Agents
codat
Connector codat · Secure OAuth 2.0
Manual reconciliation and periodic audits are no longer sufficient to manage the complexity of modern financial flows. Data entry errors, duplicate invoices, or suspicious transactions often go unnoticed until the annual closing.
Main negative impacts:
Undetected fraud risks
Unusual transactions can hide costly errors or fraud that directly impact your bottom line.
Time-consuming reconciliation errors
The time your teams spend chasing minor discrepancies in accounting ledgers is lost for strategic analysis.
Lack of proactive visibility
Without continuous monitoring, you only learn about an anomaly after the damage has been done.
Swiftask connects to your platforms via Codat to analyze your financial data continuously. Our AI agent applies detection models to isolate any transaction deviating from established standards.
BEFORE / AFTER
Traditional manual analysis
An accountant spends hours comparing Excel exports from different software. The analysis is done post-facto, often weeks later, making any corrective action complex.
Intelligent monitoring with Swiftask
As soon as a transaction is synchronized via Codat, the Swiftask agent analyzes it instantly. In case of an anomaly, an alert is generated immediately for verification, neutralizing the risk.
1
STEP 1 : Initialize your AI agent
Create a dedicated financial audit agent in Swiftask and define custom alert thresholds for your organization.
2
STEP 2 : Connect sources via Codat
Link Swiftask to Codat to access real-time data from your accounting software (QuickBooks, Xero, etc.).
3
STEP 3 : Configure detection rules
Parameterize anomaly criteria: unusual amounts, potential duplicates, non-compliant accounts, or suspicious frequencies.
4
STEP 4 : Automate notifications
Define notification channels (Teams, Slack, Email) to be informed instantly when an anomaly is identified.
The agent examines transactional dimensions, vendor histories, and spending patterns to establish normality profiles.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-codat@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.
Block suspicious payments before execution through proactive detection.
Drastically reduce audit preparation time through continuous clean accounting.
Receive notifications enriched with financial context for rapid decision-making.
Ensure full traceability of your approval and internal control processes.
Monitor thousands of additional transactions without increasing your team's workload.
Swiftask applies enterprise-grade security standards for your codat automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several weeks (audit) | A few seconds |
| Fraud risk | Late detection | Real-time prevention |
| Processing cost | Human-intensive | AI-automated |
| Data reliability | Residual errors | Continuous cleaning |
Strengthen your financial process compliance and reduce operational risks without manual effort.