Secure your communications with AI toxicity detection
Swiftask partners with Tisane Labs to analyze your communication streams. Detect and filter toxic content instantly, before it reaches your teams.
Result:
Ensure a healthy and respectful work environment with automated, intelligent moderation.
AI Agents
tisane labs
Connector tisane labs · Secure OAuth 2.0
Manual content moderation is ineffective
Companies face a growing volume of messages. Identifying inappropriate behavior, harassment, or hate speech manually is impossible. Response delays jeopardize company culture and compliance.
Main negative impacts:
Risks to corporate culture
A single unmoderated toxic message can lastingly degrade social climate and employee motivation.
Limited reactivity
Human intervention is too slow for digital communication. Damage is often done before any action can be taken.
Lack of context precision
Traditional keyword filters fail to understand sarcasm or true intent, creating false positives or letting threats pass.
Swiftask integrates Tisane Labs to provide advanced semantic analysis. Your AI agent understands context, detects toxicity, and acts in real time.
BEFORE / AFTER
What changes with Swiftask
Without AI moderation
Inappropriate content is posted on a public or private channel. Admins only notice after reports. The psychological impact on employees is immediate, and HR/legal consequences become complex.
With Swiftask + Tisane Labs
Every message is analyzed by Tisane Labs before posting. If toxicity is detected, the agent blocks the send, alerts the moderator, or requests review. Communication remains protected and constructive.
Deploy your toxicity filter in 4 steps
1
STEP 1 : Initialize the Tisane Labs connector
Activate the Tisane Labs integration in your Swiftask workspace via your secure API key.
2
STEP 2 : Define tolerance thresholds
Configure the AI sensitivity levels for harassment, hate speech, or vulgar language to suit your needs.
3
STEP 3 : Integrate analysis into workflows
Define the communication channels (Teams, Slack, Email) where the agent should act as a moderator.
4
STEP 4 : Monitor alerts
Check the Swiftask dashboard to view blocked content and refine moderation rules.
Advanced moderation capabilities
The AI analyzes semantics, grammar, and cultural nuances to identify malicious intent behind words.
- Target connector: The agent performs the right actions in tisane labs based on event context.
- Automated actions: Automatic message filtering. Precise classification of toxicity types (insults, threats, discrimination). Real-time alerts to human moderators. Complete history of moderation decisions.
- Native governance: Tisane Labs provides contextual understanding far superior to traditional filtering methods.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-tisane-labs@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.
Strategic benefits of AI
Brand protection
Avoid the spread of harmful content that could damage your image.
Operational efficiency
Automate moderation to free your HR and IT teams from manual monitoring tasks.
Enhanced compliance
Meet safety and workplace wellbeing requirements with full traceability.
Linguistic adaptability
Tisane Labs supports many languages, ideal for international organizations.
HR risk reduction
Act preventively to limit harassment and inappropriate behavior.
Governance and privacy
Swiftask applies enterprise-grade security standards for your tisane labs automations.
- Secure processing: Data is processed via encrypted channels in accordance with security standards.
- Data confidentiality: Swiftask and Tisane Labs adhere to strict privacy policies to protect your business data.
- Audit and reporting: Every moderation decision is archived for your internal audit needs.
- Sovereign control: You retain full control over the moderation rules applied to your streams.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on communication safety
| Metric | Before | After |
|---|---|---|
| Detection time | Several hours (reporting) | Under 200ms (automated) |
| Analysis precision | Low (simple keywords) | High (contextual analysis) |
| False positives | Frequent | Drastically reduced |
| Coverage | Manual/Random | 100% of messages analyzed |
Take action with tisane labs
Ensure a healthy and respectful work environment with automated, intelligent moderation.