Analyze creditworthiness in minutes with Codat and Swiftask
Swiftask leverages Codat data to automate your credit analysis workflows. Get precise risk reports without manual entry.
Result:
Drastically reduce time spent reviewing credit applications and improve the accuracy of your assessments.
AI Agents
codat
Connector codat · Secure OAuth 2.0
Manual financial data processing slows down decisions
Traditional credit analysis is a race against time. Between retrieving balance sheets via Codat, normalizing data, and writing reports, your analysts waste precious time on repetitive tasks.
Main negative impacts:
Slow response times
Slow manual processing drives your clients toward faster competitors.
Risk of human error
Complex manipulation of accounting data increases the risk of omissions or calculation mistakes.
High operational costs
Using experts for data entry instead of risk analysis is inefficient.
Swiftask automates the extraction and analysis of your Codat data. Our AI agents instantly process accounting flows to provide you with structured credit scores and solvency reports.
BEFORE / AFTER
What changes with Swiftask
Traditional Method
An analyst manually downloads data via Codat, exports it to Excel, cleans rows, calculates ratios, then writes a summary note. Process takes 3 days.
Swiftask + Codat Workflow
As soon as a new client connects their data via Codat, the Swiftask agent retrieves flows, calculates ratios, analyzes trends, and generates a risk report ready for review. Process takes 10 minutes.
Automate your credit analysis in 4 steps
1
STEP 1 : Configure your Swiftask agent
Define risk criteria specific to your business (liquidity ratios, profitability, etc.).
2
STEP 2 : Connect your Codat sources
Link your Codat account to Swiftask to authorize secure access to accounting data.
3
STEP 3 : Set the trigger
Analysis starts automatically upon new data synchronization or new file creation.
4
STEP 4 : Receive your insights
View the final analysis report in Swiftask or receive it via email/Teams.
What your AI agent can do
The agent examines balance sheets, P&L statements, and cash flow data provided by Codat.
- Target connector: The agent performs the right actions in codat based on event context.
- Automated actions: Automatic calculation of key financial ratios. Anomaly detection in transactions. Generation of decision recommendations. Textual summary of the risk profile.
- Native governance: All analyses are kept with a full history to facilitate your internal audits.
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.
Why choose this automation?
Execution speed
Go from days to minutes for a complete analysis.
Improved accuracy
AI eliminates entry and manual calculation errors.
Standardization
All files are analyzed using the same rigorous criteria.
Expert focus
Your analysts focus on complex files requiring human judgment.
Scalability
Process hundreds of files simultaneously without hiring.
Data security and compliance
Swiftask applies enterprise-grade security standards for your codat automations.
- Secure integration: Use of official Codat APIs with end-to-end encryption.
- Privacy: Swiftask stores only data necessary for analysis per your policies.
- Compliance: Compliant with banking standards for data protection.
- Full audit trail: Every decision is documented with the source of the data used.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your financial productivity
| Metric | Before | After |
|---|---|---|
| Time per analysis | 3 days | 10 minutes |
| Cost per file | High (labor) | Reduced by 80% |
| Volume handled | Limited by team | Unlimited |
| Reliability | Variable | Standardized and consistent |
Take action with codat
Drastically reduce time spent reviewing credit applications and improve the accuracy of your assessments.