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.
Result:
Get instant insights without writing a single line of complex SQL.
AI Agents
function
Connector function · Secure OAuth 2.0
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.
Main negative impacts:
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.
BEFORE / AFTER
What changes with 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 The report is obsolete by the time they receive it.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
1
STEP 1 : Database connection setup
Configure secure (read-only) access to your PostgreSQL or MySQL database within Swiftask.
2
STEP 2 : SQL function definition
Define authorized queries or allow the AI to build dynamic queries based on your table schema.
3
STEP 3 : Business agent installation
Give your agent instructions on how to interpret SQL results to answer user queries effectively.
4
STEP 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.
- Target connector: The agent performs the right actions in function based on event context.
- Automated actions: Real-time data extraction, complex aggregation, dynamic filtering, cross-table joins, automated report generation.
- Native governance: Security is paramount: Swiftask supports read-only access with restricted permissions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-function@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.
Benefits of SQL automation
Total business autonomy
Your teams get data-driven answers without any technical skills.
Rapid decision-making
Data access time drops from days to a few seconds.
Secure governance
You maintain full control over authorized queries and table access.
Reduced IT costs
Fewer support tickets for simple data extraction tasks.
Augmented analytics
The AI doesn't just extract; it synthesizes results into actionable recommendations.
Data security and compliance
Swiftask applies enterprise-grade security standards for your function automations.
- 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.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance of data automation
| Metric | Before | After |
|---|---|---|
| Data access delay | 24h - 72h | Under 5 seconds |
| IT workload | High (recurring tickets) | Low (maintenance only) |
| Accuracy | Variable (human error) | High (standardized queries) |
Take action with function
Get instant insights without writing a single line of complex SQL.