Extract entities from Polly surveys automatically
Swiftask connects your Polly surveys to an AI analysis engine. Identify, extract, and structure key information from your responses in an instant.
Result:
Save valuable time on data analysis and make decisions based on concrete, structured insights.
AI Agents
polly
Connector polly · Secure OAuth 2.0
Manual Polly survey analysis is slowing you down
Polly surveys generate large volumes of text that teams often process manually. Reading every response to extract keywords, names, or intents is a repetitive, error-prone task.
Main negative impacts:
Analytical bottlenecks
The volume of responses often exceeds human processing capacity, delaying access to critical insights.
Inconsistent data
Manual extraction varies based on individual interpretation, leading to fragmented and unreliable reports.
Missed opportunities
Emerging trends in open-ended comments are often overlooked due to a lack of time for systematic analysis.
Swiftask automates entity extraction from your Polly surveys. Our AI agent reads, categorizes, and extracts relevant data as soon as it arrives, providing an instant overview.
BEFORE / AFTER
What changes with Swiftask
Manual processing
A manager exports Polly results to a spreadsheet, reads every row, manually identifies entities, then tries to aggregate data into a report. This process takes hours and is obsolete by the time it's finished.
Swiftask automation
As soon as a collaborator answers a Polly survey, Swiftask processes the text, extracts entities (names, dates, topics, sentiment), and sends them directly to your database or CRM. Analysis is ready before the survey even closes.
Activate Polly entity extraction in 4 steps
1
STEP 1 : Create your Swiftask agent
Configure an agent dedicated to text analysis and define the entities you want to extract (e.g., product names, locations, feedback).
2
STEP 2 : Connect your Polly feed
Link your Polly account to Swiftask to enable automatic reading of survey responses.
3
STEP 3 : Define extraction rules
Specify the types of entities to extract. The AI will learn to recognize patterns specific to your industry.
4
STEP 4 : Sync your data
Choose the destination for extracted data: a dashboard, your SQL database, or a Slack notification.
Advanced extraction capabilities
The agent analyzes not just the text, but also the emotional context and intent behind every response collected by Polly.
- Target connector: The agent performs the right actions in polly based on event context.
- Automated actions: Extract names, locations, organizations, dates. Automatic feedback categorization. Sentiment analysis by entity. Structured export to your existing tools.
- Native governance: All extractions are logged in an audit trail to ensure data accuracy and compliance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-polly@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.
Why automate with Swiftask?
Increased accuracy
AI eliminates human bias related to the manual interpretation of survey responses.
Real-time insights
Get reports updated instantly with every new Polly response.
Full scalability
Manage 10 or 10,000 responses without changing your workflow.
Seamless integration
Extracted data is injected directly into your current tech stack.
Strategic focus
Free your teams from repetitive tasks to focus on taking action after analysis.
Security and privacy
Swiftask applies enterprise-grade security standards for your polly automations.
- Secure processing: Survey data is processed via encrypted channels without unnecessary persistent storage.
- Data governance: You maintain full control over extracted entities and their final destination.
- GDPR compliance: Swiftask adheres to data protection standards for your entity analysis tasks.
- Restricted access: Only authorized workspace members can access extraction configurations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Processing performance
| Metric | Before | After |
|---|---|---|
| Analysis time | Several hours (manual) | Milliseconds |
| Data reliability | Variable | Standardized (100% consistent) |
| Volume handled | Limited by headcount | Unlimited |
| Operational cost | High (human time) | Drastically reduced |
Take action with polly
Save valuable time on data analysis and make decisions based on concrete, structured insights.