Pricing

Turn Microsoft Teams into your critical incident command center

Swiftask connects your monitoring systems to Microsoft Teams. Your AI bot analyzes alerts and immediately notifies the right teams with all necessary context.

Result:

Reduce your Mean Time To Resolution (MTTR) and eliminate alert fatigue.

The chaos of unfiltered alerts in your Teams channels

Modern incident management suffers from a major issue: information overload. Too many alerts, not enough context, and an IT team spending time manually sorting notifications instead of solving problems.

Main negative impacts:

Alert fatigue: Your teams are overwhelmed by non-critical notifications, increasing the risk of missing a truly critical alert.
Lack of context: A simple 'Server Down' notification is not enough. The absence of correlated data forces technicians to search for information manually.
Fragmented response: Without automation, communication between monitoring teams and engineers is slow, increasing impact time for your customers.

Swiftask acts as an intelligence layer over your alerts. The AI bot filters, enriches, and routes critical incidents directly to the appropriate Microsoft Teams channels in real time.

BEFORE / AFTER

What changes with Swiftask

Traditional management

A system alert is triggered. It arrives in a saturated general Teams channel. Nobody knows if it is critical, who should handle it, or what the impact is. Engineers waste 15 minutes diagnosing the alert before starting resolution.

With Swiftask + Microsoft Teams Bot

Swiftask intercepts the alert, verifies its criticality, aggregates associated logs, and posts a structured message in the 'Incident-Ops' channel. The bot mentions the on-call engineer and proposes immediate remediation actions.

Deploy your alert bot in 4 steps

STEP 1 : Define your alert sources

Connect your monitoring tools (Datadog, PagerDuty, Prometheus) to Swiftask via webhooks.

STEP 2 : Configure criticality rules

Teach your AI bot to distinguish a simple error from a critical incident impacting production.

STEP 3 : Set up the Teams bot

Integrate the Swiftask bot into your Teams channels and define notification methods (mention, quick action buttons).

STEP 4 : Automate remediation

Add action buttons to the message to allow your teams to restart a service or create a ticket in one click from Teams.

Capabilities of your AI incident bot

The bot analyzes alert frequency, severity, and correlation to prevent duplicates and noise.

Target connector: The agent performs the right actions in microsoft teams bot based on event context.
Automated actions: Sending rich messages (adaptive cards), mentioning on-call managers, automated ticket creation in Jira/ServiceNow, direct remediation buttons.
Native governance: All interactions are archived for your incident post-mortems.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-microsoft-teams-bot@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.

Operational benefits

1. Reduced MTTR

Context provided instantly allows for faster resolution.

2. Intelligent prioritization

Only truly critical incidents interrupt your teams.

3. Centralized collaboration

Everything happens in Teams, avoiding context switching.

4. Auditability

Full traceability from alert to resolution.

5. No-code remediation

Execute correction scripts directly from the bot.

Security and compliance

Swiftask applies enterprise-grade security standards for your microsoft teams bot automations.

Data encryption: All incident data is encrypted in transit and at rest.
RBAC access control: Fine-grained management of channel access and remediation actions.
Compliance: Full audit logs to meet SOC2/ISO requirements.
Data isolation: Your Swiftask instance is isolated, ensuring data integrity.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on IT performance

Metric	Before	After
Initial response time	10-20 minutes	Under 60 seconds
Alert noise	High (all alerts)	Low (filtered alerts)
Manual resolution	Required	AI-assisted
Team satisfaction	High stress	Fluid workflow

Take action with microsoft teams bot

Reduce your Mean Time To Resolution (MTTR) and eliminate alert fatigue.

Manage your tasks directly in Microsoft Teams with AI

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