• Pricing
Book a demo

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.

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

STEP 1 : Initialize the Tisane Labs connector

Activate the Tisane Labs integration in your Swiftask workspace via your secure API key.

STEP 2 : Define tolerance thresholds

Configure the AI sensitivity levels for harassment, hate speech, or vulgar language to suit your needs.

STEP 3 : Integrate analysis into workflows

Define the communication channels (Teams, Slack, Email) where the agent should act as a moderator.

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

1. Brand protection

Avoid the spread of harmful content that could damage your image.

2. Operational efficiency

Automate moderation to free your HR and IT teams from manual monitoring tasks.

3. Enhanced compliance

Meet safety and workplace wellbeing requirements with full traceability.

4. Linguistic adaptability

Tisane Labs supports many languages, ideal for international organizations.

5. 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

MetricBeforeAfter
Detection timeSeveral hours (reporting)Under 200ms (automated)
Analysis precisionLow (simple keywords)High (contextual analysis)
False positivesFrequentDrastically reduced
CoverageManual/Random100% of messages analyzed

Take action with tisane labs

Ensure a healthy and respectful work environment with automated, intelligent moderation.

Master multilingual linguistic analysis with Swiftask and Tisane Labs

Next use case