Swiftask integrates with Perigon to filter out the noise. Receive only relevant alerts, analyzed and summarized by your AI agent, directly in your workflow tools.
Result:
Save hours of daily monitoring. Focus only on high-value intelligence.
AI Agents
perigon
Connector perigon · Secure OAuth 2.0
Platforms like Perigon generate massive volumes of data. Without processing, your teams are overwhelmed by generic alerts. The result: information fatigue, missed weak signals, and decision-making slowed down by noise.
Main negative impacts:
Constant information noise
The Perigon feed is too rich. Unfiltered alerts bury truly strategic information under useless data.
Excessive analysis time
Your experts spend valuable time manually sorting through alerts instead of analyzing underlying trends for your business.
Missed opportunities
Due to saturation, critical weak signals or market changes go unnoticed, impacting your competitive edge.
Swiftask acts as an intelligent filter on your Perigon feeds. Our AI agents analyze every piece of data, apply your relevance criteria, and notify you only when action is required.
BEFORE / AFTER
Traditional monitoring with Perigon
You receive hundreds of alerts per day. You must open every link, read the content, evaluate its relevance to your strategy, then decide whether to share the info. A slow, risky, and error-prone process.
Intelligence augmented by Swiftask
The Swiftask AI agent processes Perigon data continuously. It summarizes articles, checks compliance with your strategic keywords, and sends you a synthetic alert only when the relevance threshold is met.
1
STEP 1 : Connect your Perigon source
Configure the Perigon integration in Swiftask via API to allow your agents to access the data feed in real time.
2
STEP 2 : Define your filtering criteria
Teach your AI agent what matters. Use natural language to set relevance rules (e.g., 'only alert me if competitor X launches a product').
3
STEP 3 : Configure output format
Choose how to receive your alerts: Slack, Teams, Email, or the Swiftask dashboard. Customize the summary style.
4
STEP 4 : Activate the analysis engine
Launch the automation. The agent works in the background, filtering and qualifying every incoming piece of information without intervention.
The agent evaluates the source, sentiment, potential impact, and novelty of every piece of information coming from Perigon.
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.
Eliminate 90% of information noise. Only process alerts that actually impact your goals.
Your AI agent never sleeps. You are informed of market changes as they happen, even overnight.
Information arrives pre-analyzed and summarized, enabling immediate reactivity from your leadership teams.
Change your strategic priorities in seconds in Swiftask, and the agent instantly adapts its alert criteria.
Share qualified alerts directly in your team's communication channels.
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 |
|---|---|---|
| Alert volume handled | Massive raw feed (unusable) | Sorted and qualified alerts (-95% noise) |
| Daily reading time | 1.5 to 2 hours | Under 15 minutes (summary) |
| Detection delay | Several hours | Real time (seconds) |
| Relevance rate | Low (many false positives) | Very high (precise AI rules) |
Save hours of daily monitoring. Focus only on high-value intelligence.