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Query your databases using AI-driven custom SQL

Swiftask empowers your AI agents to execute complex SQL queries, allowing you to extract, analyze, and manipulate your business data in real time.

Resultat:

Get instant insights without writing a single line of complex SQL.

Data access remains a constant bottleneck

Operational teams often depend on technical teams to extract specific data. This dependency slows down decision-making and overwhelms developers with recurring requests.

Les principaux impacts négatifs :

  • Increased response times: Every data need requires a ticket, waiting time, and manual execution by IT teams.
  • Overburdened technical teams: Your developers spend valuable time running simple SQL queries instead of working on high-value projects.
  • Underutilized data: Difficulty in accessing data prevents managers from using insights to drive their daily activities.

With Swiftask, configure an AI agent capable of executing custom SQL queries securely. Your business users ask questions in natural language, and the agent generates and runs the SQL.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional data management

A manager needs a report on quarterly sales. They email BI. The ticket is processed in 48 hours. The report is obsolete by the time they receive it.

Swiftask + SQL Function

The manager asks their AI agent: 'What is the total sales volume by region this quarter?'. The agent executes the SQL query, analyzes the results, and replies instantly.

Deploying your SQL agent in 4 steps

ÉTAPE 1 : Database connection setup

Configure secure (read-only) access to your PostgreSQL or MySQL database within Swiftask.

ÉTAPE 2 : SQL function definition

Define authorized queries or allow the AI to build dynamic queries based on your table schema.

ÉTAPE 3 : Business agent installation

Give your agent instructions on how to interpret SQL results to answer user queries effectively.

ÉTAPE 4 : Validation and go-live

Test queries in the Swiftask interface and deploy the agent for your teams.

SQL analysis capabilities of your agent

The agent analyzes your data schemas to understand table relationships and formulate relevant queries.

  • Connecteur cible : L'agent exécute les bonnes actions dans function selon le contexte de l'événement.
  • Actions automatisées : Real-time data extraction, complex aggregation, dynamic filtering, cross-table joins, automated report generation.
  • Gouvernance native : Security is paramount: Swiftask supports read-only access with restricted permissions.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-function@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.

Benefits of SQL automation

1. Total business autonomy

Your teams get data-driven answers without any technical skills.

2. Rapid decision-making

Data access time drops from days to a few seconds.

3. Secure governance

You maintain full control over authorized queries and table access.

4. Reduced IT costs

Fewer support tickets for simple data extraction tasks.

5. Augmented analytics

The AI doesn't just extract; it synthesizes results into actionable recommendations.

Data security and compliance

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

  • Read-only access: Your agents are configured with limited read-only credentials to protect data integrity.
  • Encrypted connections: All communications between Swiftask and your database are TLS encrypted.
  • Full audit trail: Every SQL query generated by the agent is logged and available in the Swiftask dashboard.
  • Environment isolation: Agents operate in isolated environments, ensuring access security.

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

RÉSULTATS

Performance of data automation

MétriqueAvantAprès
Data access delay24h - 72hUnder 5 seconds
IT workloadHigh (recurring tickets)Low (maintenance only)
AccuracyVariable (human error)High (standardized queries)

Passez à l'action avec function

Get instant insights without writing a single line of complex SQL.

Transformez vos formats de données automatiquement avec des fonctions IA

Cas d'usage suivant.