Swiftask connects your AI agents to Chatforma to analyze every customer response in real time. Understand your users without manual effort.
Result:
Identify trends, detect dissatisfaction, and improve your customer experience with automated sentiment analysis.
AI Agents
chatforma
Connector chatforma · Secure OAuth 2.0
Your Chatforma forms generate significant data, but the time required to read, classify, and analyze the sentiment of each response is massive. Valuable insights are often lost in the noise.
Main negative impacts:
Limited customer reactivity
Detecting customer dissatisfaction after several days prevents quick corrective action, hurting retention.
Operational overload
Manually reading every response to assess tone and emotion consumes time your team could spend on resolutions.
Lack of global vision
Without automated analysis, it is difficult to correlate sentiment trends with specific product or service changes.
Swiftask automates sentiment analysis upon submission of your Chatforma forms. The AI qualifies the tone of each response and alerts you instantly if a negative sentiment is detected.
BEFORE / AFTER
Traditional feedback management
Responses arrive in bulk. A team member spends hours sorting messages, trying to understand customer mood, and manually escalating critical cases. Negative feedback often goes unnoticed.
Intelligent analysis with Swiftask
Every Chatforma submission is analyzed instantly. Sentiment is tagged, urgent cases are automatically notified in your ticketing tool, and you get a clear dashboard on customer satisfaction.
1
STEP 1 : AI agent deployment
Configure an agent in Swiftask dedicated to reading and analyzing incoming data.
2
STEP 2 : Form connection
Link your Chatforma account via webhook to allow Swiftask to receive responses in real time.
3
STEP 3 : Analysis setup
Define sentiment criteria (positive, neutral, negative) and actions to trigger based on the score.
4
STEP 4 : Alert automation
Enable automatic notifications so your team can intervene as soon as negative sentiment is detected.
The AI evaluates linguistic context, emotional keywords, and intent behind each sentence to provide an accurate sentiment score.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-chatforma@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.
Eliminate manual feedback sorting and focus on strategic analysis.
Turn detractors into promoters by addressing dissatisfaction in minutes.
Avoid human bias in interpreting customer emotions thanks to objective AI.
Identify recurring pain points through detected sentiment trends.
Swiftask applies enterprise-grade security standards for your chatforma automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Processing time | Hours per week | Real time |
| Dissatisfaction detection | Partial / Delayed | Instant |
| Analysis accuracy | Variable (human bias) | Constant (AI) |
Identify trends, detect dissatisfaction, and improve your customer experience with automated sentiment analysis.