Automate data enrichment in Hex with your AI agents
Swiftask connects your AI agents to your Hex notebooks. Contextualize your raw datasets in real time, without manual effort.
Result:
Spend less time cleaning and enriching, and more time generating business value.
AI Agents
hex
Connector hex · Secure OAuth 2.0
Manual data enrichment slows down your analytics
Data preparation is often the bottleneck in your Hex projects. Between missing values, lack of external context, and repetitive cleaning scripts, data scientists spend 80% of their time prepping rather than analyzing.
Main negative impacts:
Biased analytics
Incomplete or poorly contextualized datasets lead to flawed conclusions and risky strategic decisions.
Lost velocity
Time spent manually enriching data delays model deployment and insight delivery.
Technical complexity
Maintaining custom enrichment scripts for every Hex notebook is costly and difficult to scale.
Swiftask automates data enrichment in Hex. Our AI agents process your datasets, fill in missing information, and add layers of intelligent context, directly within your workflows.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The data scientist imports a dataset into Hex. They must write complex Python scripts to fetch complementary data, handle format errors, and normalize inputs before starting the analysis. A slow, fragile, and hard-to-maintain process.
With Swiftask + Hex
Your Swiftask AI agent is connected to your Hex notebook. As soon as a new dataset is loaded, the agent identifies gaps, queries necessary sources, enriches the data, and returns it formatted. Your notebook is ready in seconds.
4 steps to enrich your Hex data
1
STEP 1 : Create your enrichment agent in Swiftask
Define enrichment rules: which columns to enrich, which sources to use, and expected output format.
2
STEP 2 : Connect Hex to your agent
Use the Swiftask integration to link your Hex notebooks. The agent accesses data via secure API.
3
STEP 3 : Configure the trigger
Set up enrichment on demand, upon notebook loading, or via webhook as new data arrives.
4
STEP 4 : Visualize and analyze
Enriched data appears directly in your Hex cells. You can immediately move to exploration.
Intelligent enrichment capabilities
The agent analyzes data types, detects anomalies, and identifies semantic enrichment opportunities.
- Target connector: The agent performs the right actions in hex based on event context.
- Automated actions: Format normalization, contextual data addition, automatic classification, text cleaning, and third-party data integration.
- Native governance: Every enrichment operation is logged to ensure the reproducibility of your analyses.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-hex@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.
Productivity gains for your data team
Massive time savings
Reduce data preparation time from hours to mere seconds.
Increased precision
AI minimizes human errors during data processing and enrichment.
Standardization
Ensure all your notebooks use consistent, documented enrichment methods.
Scalability
Handle growing data volumes without increasing manual workload.
Focus on analysis
Free your data scientists to focus on interpretation and strategy.
Data security and governance
Swiftask applies enterprise-grade security standards for your hex automations.
- End-to-end encryption: Data moving between Hex and Swiftask is protected by robust encryption protocols.
- GDPR compliance: Strict management of personal data with automatic anonymization options before processing.
- Audit and control: Full history of enrichment actions, reviewable at any time from Swiftask.
- Access isolation: Granular control over permissions to access sensitive datasets from the AI agent.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your data operations
| Metric | Before | After |
|---|---|---|
| Preparation time | Several hours per project | Minutes (automated) |
| Data quality | Variable / Incomplete | Standardized and augmented |
| Data productivity | Slowed by cleaning | Accelerated by automation |
| Operational cost | High (human hours) | Optimized (no-code AI) |
Take action with hex
Spend less time cleaning and enriching, and more time generating business value.