Tarification

React in real time to crises with AI and Newslit

Swiftask connects your Newslit monitoring stream to your communication tools. Identify threats and inform your teams instantly.

Resultat:

Reduce your response time from hours to seconds, for complete control over your reputation.

Manual monitoring is too slow for crisis management

When a media crisis hits, every minute counts. Yet, most teams manually scan Newslit alerts, wasting valuable time sorting, analyzing, and sharing information. This delay between threat detection and internal notification is often fatal.

Les principaux impacts négatifs :

Delayed threat detection: Weak signals are buried in the noise. The crisis team is only warned when the issue has already escalated.
Information overload: Too many unqualified alerts saturate your channels. Employees eventually ignore important notifications.
Disorganized response: Without automation, information transfer between monitoring and the operational team is fragmented, increasing the risk of errors.

Swiftask intelligently filters your Newslit data. As soon as a critical mention is detected, the AI agent qualifies the urgency and immediately alerts the right people.

AVANT / APRÈS

Ce qui change avec Swiftask

Before Swiftask automation

A negative mention appears in Newslit. An analyst must see it, evaluate its severity, copy the link, and email the communications team. Meanwhile, the news spreads on social media.

With Swiftask + Newslit

The AI agent continuously analyzes the Newslit feed. Upon detecting a critical keyword, it automatically posts a structured summary in your crisis Teams/Slack channel, mentioning stakeholders.

Set up your crisis reactivity in 4 steps

ÉTAPE 1 : Link your Newslit feed

Configure the connection between Newslit and Swiftask to centralize your media alerts in a single dashboard.

ÉTAPE 2 : Define your alert criteria

Configure the AI to only escalate mentions matching your criticality thresholds (sentiment, reach, topic).

ÉTAPE 3 : Configure automated actions

Determine the output channel (Teams, Slack, Email) and alert format so the team knows exactly what to do.

ÉTAPE 4 : Test and deploy

Simulate an alert to verify the workflow is fully operational and the right people are notified.

Automatic alert analysis and qualification

The AI agent examines source, tone (positive/negative/neutral), and potential impact of each Newslit mention to prioritize emergencies.

Connecteur cible : L'agent exécute les bonnes actions dans newslit selon le contexte de l'événement.
Actions automatisées : Intelligent media noise filtering. Automatic content summarization. Dynamic routing to crisis channels. Automatic escalation if no action is taken.
Gouvernance native : Every alert processed by the AI is archived in Swiftask for your post-crisis reporting.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-newslit@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Operational benefits during a crisis

1. Reduced detection time

Switch to real-time monitoring with AI analysis that never sleeps.

2. Focus on what matters

Eliminate media noise and only handle what requires human intervention.

3. Fluid collaboration

The entire crisis team receives the same qualified information simultaneously.

4. Auditability

Keep a log of all received alerts and your team's reactivity.

5. Scalability

Handle growing media data volumes without increasing your analysts' workload.

Data security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations newslit.

Encrypted connections: The link between Newslit and Swiftask is secured by standard SSL/TLS protocols.
Strict governance: Only you control which data is analyzed and who has access to crisis alerts.
GDPR compliance: Data processing adheres to the strictest privacy standards.
Robust infrastructure: A resilient architecture designed to never miss a critical alert.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your response efficiency

Métrique	Avant	Après
Average reaction time	30 to 60 minutes	Under 2 minutes
Alert quality	80% noise	95% relevant alerts
Team coordination	Silos and emails	Centralized real-time stream
Setup	Technical complexity	No-code configuration

Passez à l'action avec newslit

Reduce your response time from hours to seconds, for complete control over your reputation.