Swiftask connects your AI agents to the Perigon stream, turning thousands of news articles into clear, actionable sentiment metrics instantly.
Result:
Stop drowning in information. Identify reputation trends and market opportunities before anyone else.
AI Agents
perigon
Connector perigon · Secure OAuth 2.0
Monitoring global news with Perigon is powerful, but the sheer volume makes manual analysis impossible. Your teams spend hours reading articles without being able to objectively quantify how your brand or competitors are perceived.
Main negative impacts:
Delayed crisis response
Rising negative sentiment in media goes unnoticed until it's too late, preventing proactive reputation management.
Subjective and biased analysis
Human interpretation of article tone varies by analyst, making monitoring reports inconsistent and unreliable for leadership.
High operational costs
Assigning analysts to manually read and categorize articles is a waste of high-value human resources.
Swiftask automates sentiment analysis on the Perigon stream. Our AI agents process, categorize, and score every article in real-time, providing you with precise dashboards on your media image evolution.
BEFORE / AFTER
Traditional monitoring
A team receives Perigon alerts, opens each article, manually evaluates the tone (positive/negative), and compiles data into an Excel sheet. The report is obsolete before it's finished.
Augmented monitoring with Swiftask
The Perigon stream is continuously analyzed by Swiftask. Every article gets an instant sentiment score. Negative trends trigger priority alerts on Slack or Teams.
1
STEP 1 : Connect your Perigon source
Integrate your Perigon streams into Swiftask with a simple configuration. Define the keywords or topics to monitor.
2
STEP 2 : Define sentiment criteria
Configure the AI agent to identify nuances specific to your industry: tone, intensity, and mentioned entities.
3
STEP 3 : Automate alerts
Determine sentiment thresholds that must trigger an immediate alert for your communications or crisis management teams.
4
STEP 4 : Visualize trends
Access the Swiftask dashboard to track the historical evolution of media sentiment on your key topics.
The AI analyzes not just the text, but the publication context, source authority, and mention frequency to weight the sentiment.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-perigon@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.
Constant analysis, free from human bias, capable of detecting sarcasm or subtle nuances in media language.
Eliminate manual reading of thousands of articles. Only review the AI-synthesized analyses.
Your AI agent never sleeps. Get alerted to a sentiment shift at 3 AM, before markets open.
Export your sentiment scores to your BI tools to correlate news with your business performance.
Maintain a historical record of sentiment evolution to justify your strategic decisions.
Swiftask applies enterprise-grade security standards for your perigon automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Articles processed | Limited by human capacity | Unlimited (full Perigon stream) |
| Detection delay | Several hours (daily) | Real-time (a few seconds) |
| Analysis accuracy | Variable and subjective | Standardized and consistent |
Stop drowning in information. Identify reputation trends and market opportunities before anyone else.