Analyze the sentiment of your Aidbase interactions automatically with AI
Swiftask connects to your Aidbase data to analyze the sentiment of every customer interaction in real time. Understand your users better without manual effort.
Result:
Identify at-risk clients before they churn and leverage positive feedback to improve your products.
AI Agents
aidbase
Connector aidbase · Secure OAuth 2.0
Your customers' voices are lost in a massive volume of data
Every day, support tools like Aidbase accumulate thousands of interactions. Manually analyzing this data to understand your customers' true feelings is impossible at scale. You are missing critical weak signals.
Main negative impacts:
Slow reaction to dissatisfaction
Unhappy customers are not detected in time. The risk of churn increases drastically without proactive detection.
Lack of structured data
Your product teams do not receive quantifiable feedback. Strategic decisions are based on impressions rather than facts.
Heavy workload for support teams
Manually reading and classifying every ticket to assess customer mood is a repetitive task that hinders productivity.
Swiftask connects AI to your Aidbase data to instantly analyze the sentiment of every interaction. You receive clear, structured, and actionable insights, with zero manual intervention.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Support receives hundreds of tickets on Aidbase. No one knows what percentage is positive or negative. Major issues are handled case-by-case, and global trends remain invisible until it is too late.
With Swiftask + Aidbase
As soon as an interaction is logged in Aidbase, the Swiftask AI agent analyzes it. Sentiment is classified. Managers receive a weekly report or immediate alerts in case of dissatisfaction spikes.
Setting up Aidbase sentiment analysis in 4 steps
1
STEP 1 : Connect your Aidbase account
Integrate Aidbase with Swiftask via a secure connection. Your data remains private and protected.
2
STEP 2 : Define analysis models
Configure the agent to detect specific emotions: frustration, satisfaction, urgency, or feature requests.
3
STEP 3 : Configure alerts and reporting
Choose how to receive results: via a dashboard, a Slack channel, or automated email reports.
4
STEP 4 : Activate and analyze
The agent processes data in real time. You immediately access trends and insights on your customer satisfaction.
Key features of AI analysis
The AI agent evaluates tone, punctuation, vocabulary, and technical context to determine the precise sentiment score of each interaction.
- Target connector: The agent performs the right actions in aidbase based on event context.
- Automated actions: Automatic ticket classification (positive/negative/neutral). Urgency detection. Summary of recurring pain points. Data export to your BI tools.
- Native governance: All analyses are logged in Swiftask to allow for temporal comparison of customer satisfaction.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-aidbase@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 choose Swiftask for Aidbase
Churn rate reduction
Detect unhappy customers before they cancel their subscription.
Intelligent prioritization
Handle the most urgent tickets first thanks to sentiment analysis.
Data-driven product insights
Identify which features generate the most frustration.
Operational time saving
Automate the sorting and classification of thousands of customer messages.
Continuous improvement
Measure the impact of your product changes on customer sentiment.
Data security
Swiftask applies enterprise-grade security standards for your aidbase automations.
- Data encryption: All data from Aidbase is encrypted at rest and in transit.
- Privacy compliance: Your data is not used to train public AI models.
- Audit and compliance: Full history of access and analyses performed.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure the impact on your customer support
| Metric | Before | After |
|---|---|---|
| Analysis time | Days/weeks | Real time |
| Detection accuracy | Subjective (human) | Consistent (AI) |
| Customer responsiveness | Reactive | Proactive |
Take action with aidbase
Identify at-risk clients before they churn and leverage positive feedback to improve your products.