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Streamline Hex data analysis with an AI conversational interface

Swiftask adds a conversational layer to your Hex notebooks. Ask questions about your data and get instant, accurate answers directly within your workflow.

Result:

Reduce data exploration time and democratize data access for your entire organization.

Data exploration in Hex can be slow and technically demanding

While Hex is an incredibly powerful tool for data scientists, rapid exploration of complex datasets often requires manual adjustments to SQL or Python code. This technical barrier hinders decision-making and limits data access for non-technical stakeholders.

Main negative impacts:

  • Technical bottlenecks: Analysts are constantly interrupted to update code for ad-hoc requests, creating a significant dependency.
  • High exploration time: Navigating between code cells and visualizations to find a specific answer is time-consuming.
  • Knowledge silos: Complex analysis results are not easily actionable for decision-makers who lack coding skills.

Swiftask turns your Hex notebook into a conversational application. Query your data models in natural language and let the AI execute the necessary queries for you.

BEFORE / AFTER

What changes with Swiftask

The traditional approach

A manager asks for a specific customer segment. The data analyst must open the Hex notebook, modify SQL filters, re-run cells, adjust the chart, and export results. This process takes 30+ minutes.

The Swiftask + Hex experience

The manager asks the question directly in the conversational interface connected to Hex. Swiftask identifies variables, executes the required code, and displays the updated result or chart in seconds.

Deploy your conversational interface in 4 steps

STEP 1 : Connect Hex to Swiftask

Use your Hex workspace API keys to establish a secure connection with your Swiftask AI agent.

STEP 2 : Define agent capabilities

Configure which code blocks or datasets your AI agent is authorized to query and manipulate within Hex.

STEP 3 : Configure natural language

Train the agent on your data context so it understands business jargon and frequent queries.

STEP 4 : Launch the interface

Embed the conversational widget into your Hex apps or use it directly from the Swiftask interface for daily explorations.

Advanced agent capabilities

The agent analyzes your table metadata and Hex cell structure to generate precise, executable code.

  • Target connector: The agent performs the right actions in hex based on event context.
  • Automated actions: Execute SQL/Python queries, filter DataFrames, generate dynamic visualizations, summarize trends, and export results in CSV/JSON format.
  • Native governance: Security first: the agent can only access explicitly authorized Hex resources.

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.

Key benefits of this integration

1. Faster decision-making

Get data-driven answers in seconds instead of hours.

2. Data democratization

Enable business teams to query data without writing a single line of code.

3. Reduced IT backlog

Fewer ad-hoc tickets for data analysts, who can focus on strategic, complex projects.

4. Enhanced interactivity

Transform static reports into living, dialogue-driven tools.

5. Consistent results

The AI uses the same data definitions as your reference notebooks.

Privacy and control

Swiftask applies enterprise-grade security standards for your hex automations.

  • Encrypted access: Secure communication between Swiftask and Hex API via dedicated tokens.
  • Granular control: You choose exactly which notebooks are accessible via the conversational interface.
  • Audit and logs: Every question asked and query executed is logged within Swiftask.
  • GDPR compliant: Your data remains in your Hex infrastructure; Swiftask acts only as a command interface.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on data productivity

MetricBeforeAfter
Query response time30-60 minutesUnder 30 seconds
Accessibility for non-codersLowFull
Analyst workloadHigh (ad-hoc)Optimized (strategic)

Take action with hex

Reduce data exploration time and democratize data access for your entire organization.

Sync your Hex pipelines with AI for data-driven decisions

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