Swiftask connects to CallHippo to turn your phone conversations into structured data. Instantly understand your customers' mood during every exchange.
Result:
Identify friction points, highlight successes, and improve overall satisfaction with precise, automated analysis.
AI Agents
callhippo
Connector callhippo · Secure OAuth 2.0
Most companies handle thousands of calls via CallHippo without ever leveraging the wealth of voice data. Listening to every recording is impossible, and traditional satisfaction surveys have response rates too low to be representative.
Main negative impacts:
Weak signals ignored
Customer frustrations are only detected when it's too late, leading to avoidable churn.
Subjective vision
Quality assessment often relies on manager intuition rather than objective data.
Lack of reactivity
Without real-time analysis, it's impossible to quickly correct failing sales or support processes.
Swiftask automatically analyzes the sentiment of every CallHippo call. With AI, you get a sentiment score and key insights for every conversation, without manual listening.
BEFORE / AFTER
Before Swiftask
Managers randomly listen to 2% of CallHippo calls. They manually note customer feelings in a spreadsheet. Insights are fragmented, biased, and arrive weeks late.
With Swiftask + CallHippo
100% of calls are analyzed by AI. Each interaction receives a sentiment score. Alerts are automatically triggered for negative sentiment, allowing for immediate intervention.
1
STEP 1 : Connect your CallHippo account
Integrate CallHippo with Swiftask via secure API. Setup is fast and requires no complex development.
2
STEP 2 : Define your analysis models
Configure the AI agent to detect specific nuances: anger, satisfaction, urgency, or need for escalation.
3
STEP 3 : Automate processing
As soon as a call ends, Swiftask processes the recording, generates a sentiment analysis, and updates your CRM.
4
STEP 4 : Visualize your dashboards
Track the evolution of customer sentiment globally and per agent on the Swiftask analytics interface.
The AI analyzes tone of voice, word choice, and conversation context to establish a reliable sentiment score.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-callhippo@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.
Identify dissatisfied customers before they leave.
Give objective feedback to your agents based on real data.
Eliminate the need to re-listen to hours of calls to understand a problem.
Ensure consistent service quality across the entire organization.
Identify market trends directly from customer feedback.
Swiftask applies enterprise-grade security standards for your callhippo automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Call coverage | 2% (sampling) | 100% (exhaustive analysis) |
| Problem detection time | Several days | Real-time |
| Feedback accuracy | Subjective | AI-data driven |
Identify friction points, highlight successes, and improve overall satisfaction with precise, automated analysis.