Tarification

Generate Paved financial reports automatically with AI

Swiftask connects to Paved to extract, analyze, and synthesize your financial data. Turn raw figures into strategic insights in seconds.

Resultat:

Save hours of monthly work and eliminate errors caused by manual data entry.

Manual financial reporting hinders your growth

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.

Les principaux impacts négatifs :

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Outdated reporting: The time required to prepare reports means analyzed data is often obsolete by the time it is viewed.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.

AVANT / APRÈS

Ce qui change avec Swiftask

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.

Optimize your financial reports in 4 steps

ÉTAPE 1 : Configure the finance agent

Create a dedicated agent in Swiftask and define the scope of financial data to monitor within Paved.

ÉTAPE 2 : Establish Paved connection

Connect your Paved instance via API or Webhook to allow the agent to access real-time data securely.

ÉTAPE 3 : Define analysis rules

Teach the AI to identify critical KPIs, budget variances, or anomalies in Paved transactions.

ÉTAPE 4 : Automate delivery

Schedule the automatic sending of your PDF reports or summary emails to the right management teams.

AI financial analysis capabilities

The agent processes Paved transaction flows, identifies seasonal trends, and cross-references data with your budget goals.

Connecteur cible : L'agent exécute les bonnes actions dans paved selon le contexte de l'événement.
Actions automatisées : Automatic extraction, financial ratio calculation, anomaly detection, narrative comment generation, and multi-channel delivery.
Gouvernance native : Each generated report is archived in Swiftask with a complete history for your financial audit needs.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-paved@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why automate with Swiftask

1. Absolute accounting accuracy

Automation eliminates human input errors, ensuring financial reports of total reliability.

2. Real-time reporting

Access up-to-date data instantly to steer your business without waiting for manual closes.

3. Focus on analysis

Free your analysts from repetitive tasks so they can focus on financial strategy.

4. Decision-making agility

Clear and concise reports enable fast, data-driven decision-making.

5. Simplified compliance

Traceability of every report generation step greatly facilitates your internal and external audits.

Financial data security

Swiftask applique des standards de sécurité enterprise pour vos automatisations paved.

End-to-end encryption: All data extracted from Paved is encrypted during transit and at rest in Swiftask.
Granular access control: Only authorized members of your finance team can access sensitive reports.
Full audit log: Every access and report generation is logged in an immutable audit trail.
Isolated architecture: Your Swiftask instance is isolated, ensuring no data leaks between different workspaces.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your financial performance

Métrique	Avant	Après
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)

Passez à l'action avec paved

Save hours of monthly work and eliminate errors caused by manual data entry.

Nettoyez vos données annonceurs Paved automatiquement avec l'IA

Cas d'usage suivant.