Hex AI Agents
Automate data analytics workflows with AI agents that connect to Hex. Generate insights with natural language, execute notebooks programmatically, create dynamic dashboards, and build intelligent data pipelines.
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What are Hex AI Agents?
Hex AI agents are intelligent automation tools that connect directly to your Hex workspace to execute notebooks, generate dashboards, and orchestrate data analytics workflows. These AI-powered agents can translate natural language into SQL and Python, automate reporting, and create dynamic visualizations.
Manual notebook execution, dashboard updates, and report generation consume valuable analyst time. Our marketplace features 0 Hex AI agents and tools that automate data workflows—from natural language querying and automated reporting to scheduled notebook runs and collaborative analytics.
Whether you're building data pipelines, automating business intelligence, or creating self-service analytics, these Hex AI agents help you work smarter by turning natural language into executable code while maintaining data quality and governance.
What Can You Build?
Data Analysis
- Automated notebook execution and reporting
- Dynamic dashboard generation from queries
- Scheduled data refresh and updates
Analytics Intelligence
- Natural language to SQL/Python conversion
- Automated insights from data patterns
- Cross-dataset analysis and correlation
Workflow Integration
- CRM and analytics synchronization
- Automated reporting pipelines
- Multi-source data orchestration
Benefits of AI Agents for Hex
✗ Before AI Agents
- ✗ Manual notebook execution for every analysis
- ✗ Time-consuming dashboard creation and updates
- ✗ Complex SQL/Python knowledge required for queries
- ✗ Non-technical stakeholders blocked by code barriers
- ✗ Manual report generation and distribution
✓ With AI Agents
- ✓ Automated notebook runs on schedule or trigger
- ✓ Dynamic dashboards generated from natural language
- ✓ Natural language to SQL/Python conversion instantly
- ✓ Self-service analytics for business users
- ✓ Automated reporting with intelligent insights
Potential Use Cases
Processes You Can Automate
- 1
Scheduled Reporting
Automatically generate and distribute weekly/monthly reports
- 2
Dashboard Refreshes
Keep dashboards updated with latest data automatically
- 3
Ad-hoc Analysis
Let stakeholders query data using natural language
- 4
Data Quality Monitoring
Run validation notebooks and alert on anomalies
Tasks AI Agents Can Handle
- 1
Code Generation
Convert business questions into SQL and Python code
- 2
Insight Extraction
Analyze results and generate narrative summaries
- 3
Notebook Orchestration
Chain multiple notebooks for complex workflows
- 4
Visualization Creation
Generate appropriate charts based on data types
Industry Use Cases
See how different industries leverage Hex AI agents
Data Analytics Teams
Accelerate analysis and reporting
Automated Reporting
Schedule recurring business reports
Self-Service Analytics
Enable business users to explore data
Insight Generation
Automatically surface trends and anomalies
Product Teams
Data-driven product decisions
Usage Analytics
Track feature adoption and engagement
A/B Test Analysis
Automate experiment result reporting
User Cohort Analysis
Segment and analyze user behavior
Finance Teams
Financial reporting and forecasting
Revenue Reporting
Automated monthly and quarterly reports
Budget Tracking
Monitor spend vs. budget in real-time
Forecasting Models
Run scenario analysis automatically
Considerations and Challenges
Technical Considerations
- • API authentication and workspace permissions
- • Query optimization for large datasets
- • Managing dependencies and package versions
- • Handling notebook execution timeouts
Operational Challenges
- • Validating AI-generated code for accuracy
- • Managing version control for notebooks
- • Balancing automation with data governance
- • Monitoring scheduled runs and error handling
Free your team.
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