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Master your ServiceNow SLAs with AI-driven precision

Swiftask connects your AI agents to ServiceNow to monitor, analyze, and preempt SLA breaches in real time.

Result:

Drastically reduce non-compliance risks and accelerate resolution for your most critical tickets.

SLA breaches are costing your IT team dearly

Manual priority management in ServiceNow inevitably leads to oversights. When critical tickets stall, SLAs are breached, impacting customer satisfaction and your performance metrics.

Main negative impacts:

  • Insufficient reactivity: Native alerts are often not enough to mobilize the right teams in time to prevent a breach.
  • Cognitive overload: Your technicians waste valuable time manually sorting urgent tickets from a constant stream of requests.
  • Lack of visibility: The absence of predictive analysis prevents bottlenecks from being identified before they become critical.

Swiftask transforms your SLA management by automating the analysis and escalation of ServiceNow tickets. The AI intervenes proactively to guarantee your commitments are met.

BEFORE / AFTER

What changes with Swiftask

Traditional reactive management

A critical ticket arrives. It sits in the queue. The SLA approaches the limit. Only a standard notification is sent, often ignored. The SLA is breached, impacting your KPIs.

Swiftask predictive management

As soon as a ticket is created, the Swiftask AI analyzes its risk. It immediately alerts the right expert, suggests resolutions, and escalates if no action is taken before the critical threshold.

Deploy AI on your SLAs in 4 steps

STEP 1 : Source configuration

Connect Swiftask to your ServiceNow instance via our secure connectors.

STEP 2 : Threshold definition

Set vigilance rules based on your internal SLA policies.

STEP 3 : Agent training

Configure the AI to recognize high-risk tickets.

STEP 4 : Alert activation

Deploy automation for 24/7 monitoring and action.

AI steering capabilities for ServiceNow

The agent continuously analyzes priority, remaining time, and resolution history of ServiceNow tickets.

  • Target connector: The agent performs the right actions in servicenow based on event context.
  • Automated actions: Automatic ticket escalation, targeted notifications on Teams/Slack, resolution suggestions based on knowledge base, automated risk reporting.
  • Native governance: All agent actions are auditable in Swiftask for complete compliance.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-servicenow@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.

Major operational benefits

1. Guaranteed SLA compliance

Significant reduction in breaches through early intervention.

2. Increased productivity

Your technicians focus on resolution, not triage.

3. Improved CSAT

Faster and more reliable support for your end-users.

4. Robust governance

Full traceability of every action performed by the AI.

5. No-code deployment

Rapid setup without modifying your complex ServiceNow workflows.

Security and privacy

Swiftask applies enterprise-grade security standards for your servicenow automations.

  • Secure authentication: Secure API connection respecting ServiceNow standards.
  • Granular control: Precisely define the agent's access rights to your data.
  • Compliance: Full audit trail compliant with ITIL requirements.
  • Robust infrastructure: Isolated architecture to ensure performance.

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

RESULTS

Impact on your key metrics

MetricBeforeAfter
SLA compliance rate85% (average)98% (target)
Initial response time45 minutesUnder 2 minutes
Manual escalationsFrequentAutomated

Take action with servicenow

Drastically reduce non-compliance risks and accelerate resolution for your most critical tickets.

Collaborative onboarding: Automate with ServiceNow

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