Swiftask connects to Paved to extract, analyze, and synthesize your financial data. Turn raw figures into strategic insights in seconds.
Result:
Save hours of monthly work and eliminate errors caused by manual data entry.
AI Agents
paved
Connector paved · Secure OAuth 2.0
Manually compiling financial data from Paved into reporting tools is slow and error-prone. Your finance teams waste valuable time manipulating spreadsheets instead of analyzing trends.
Main negative impacts:
High human error risk
Manual data manipulation significantly increases the likelihood of input or calculation errors, impacting the reliability of your decisions.
Outdated reporting
The time required to prepare reports means analyzed data is often obsolete by the time it is viewed.
Hidden operational costs
Deploying skilled resources for repetitive entry tasks represents a major opportunity cost for your company.
Swiftask automates the complete financial reporting cycle: extracting Paved data, AI analysis, and generating structured, ready-to-share reports.
BEFORE / AFTER
Traditional data management
Manual export from Paved, cleaning CSV files, copy-pasting into Excel, formatting, then sending via email. A process that takes hours every month-end.
Swiftask intelligent reporting
As soon as a period closes, your Swiftask AI agent retrieves Paved data, performs calculations, generates a summary report, and sends it to stakeholders.
1
STEP 1 : Configure the finance agent
Create a dedicated agent in Swiftask and define the scope of financial data to monitor within Paved.
2
STEP 2 : Establish Paved connection
Connect your Paved instance via API or Webhook to allow the agent to access real-time data securely.
3
STEP 3 : Define analysis rules
Teach the AI to identify critical KPIs, budget variances, or anomalies in Paved transactions.
4
STEP 4 : Automate delivery
Schedule the automatic sending of your PDF reports or summary emails to the right management teams.
The agent processes Paved transaction flows, identifies seasonal trends, and cross-references data with your budget goals.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-paved@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.
Automation eliminates human input errors, ensuring financial reports of total reliability.
Access up-to-date data instantly to steer your business without waiting for manual closes.
Free your analysts from repetitive tasks so they can focus on financial strategy.
Clear and concise reports enable fast, data-driven decision-making.
Traceability of every report generation step greatly facilitates your internal and external audits.
Swiftask applies enterprise-grade security standards for your paved automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Production time | 3-5 days (manual) | Under 5 minutes (automated) |
| Error rate | 5-10% (human) | 0% (systematic) |
| Reporting frequency | Monthly | On-demand or daily |
| Processing cost | High (dedicated resources) | Reduced (AI optimization) |
Save hours of monthly work and eliminate errors caused by manual data entry.