Swiftask connects to your platforms via Apiframe to centralize and analyze customer feedback in real time. Never leave important data unaddressed.
Result:
Improve customer satisfaction by handling feedback instantly, with no manual effort.
AI Agents
apiframe
Connector apiframe · Secure OAuth 2.0
Companies collect thousands of pieces of feedback across various channels, but this data often remains siloed. Without a system to centralize and analyze them, valuable insights are lost, and customers get frustrated by a lack of responsiveness.
Main negative impacts:
Lost customer insights
Important trends are not identified because feedback is not aggregated. You miss major opportunities for improvement.
Slow response times
Manual processing of feedback is slow. Customers wait too long, which degrades their experience and your brand image.
Lack of prioritization
It is difficult to distinguish emergencies from minor suggestions. Support teams process tickets in the wrong order.
Swiftask uses Apiframe to pull feedback from any source. Our AI agents analyze, categorize, and trigger automatic actions for your teams.
BEFORE / AFTER
Before Swiftask + Apiframe
Feedback arrives via email, form, or chat. A team must read them one by one, copy them into Excel, try to classify them, then alert the right people manually. Urgent feedback gets lost.
With Swiftask + Apiframe
Apiframe automatically transmits every new feedback to Swiftask. The AI agent analyzes sentiment and urgency in seconds, then routes the ticket to the right channel or generates an automatic response.
1
STEP 1 : Configure the Apiframe connector
Connect your data sources (CRM, forms, support tools) to Swiftask via the Apiframe connector in a few clicks.
2
STEP 2 : Define your agent's analysis rules
Teach your AI agent to identify sentiment, detect emergencies, and extract key points from each piece of feedback.
3
STEP 3 : Determine automated actions
Configure actions: Slack notification, Jira ticket creation, automatic email response, or database update.
4
STEP 4 : Monitor the loop continuously
Track the performance of your feedback loops from the Swiftask dashboard and refine agent criteria if necessary.
The AI agent evaluates: general sentiment (positive/negative), urgency of the issue, subject category (product, bug, pricing), and the need for human intervention.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-apiframe@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.
Handle critical feedback in seconds, drastically improving customer satisfaction.
Eliminate manual data sorting. Your teams focus only on resolving complex issues.
Base your strategic choices on precise and centralized analysis of all your customer feedback.
Manage thousands of additional pieces of feedback without increasing your support team size.
Ensure every customer receives an appropriate response, aligned with your brand voice thanks to AI agents.
Swiftask applies enterprise-grade security standards for your apiframe automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average processing time | Several hours (manual) | Under 1 minute (automated) |
| Urgency detection rate | Variable (risk of error) | 100% (systematic) |
| Support team productivity | Focus on sorting/entry | Focus on customer resolution |
| Apiframe integration time | Complex development | Setup in a few hours |
Improve customer satisfaction by handling feedback instantly, with no manual effort.