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Intelligent Automation Engine


Bringing Machine Learning to Your Everyday Work

The lack of process and legacy tools are holding back enterprise productivity. The onslaught of more data and less time to parse through it is only making the problem worse.  

The Intelligent Automation Engine ushers in a new era of workplace productivity. Machine learning drives new levels of automation pushing machines to get work done smarter and faster. Now, data that you already have can be used to create finely‑tuned models that intelligently prioritize and route tasks across departments. You can find precise indicators of problems to prevent issues, benchmark your services, and predict performance.


By combining intelligence with automated actions, you reduce costs dramatically and speed time‑to‑resolution. Your enterprise realizes game‑changing economics and works at lightspeed.


Can machine learning shape strategy? 89% say yes.

How the Intelligent Automation Engine Works

  1. 1
    Creates Accurate
    Predictive Models
    The Intelligent Automation Engine applies machine learning algorithms to your own operational data to create accurate predictive models.
  2. 2
    Precisely Categorizes
    and Routes Tasks
    These finely-tuned models precisely categorize and prioritize incoming requests and tasks.
  3. 3
    Correlates Real-time Events
    to Predict Future Events
    It correlates thousands of events to uncover specific sequences that serve as better predictors of issues.
  4. 4
    Initiates Structured Workflows to
    Accurately Route Tasks and Prevent Issues
    By accurately routing tasks to the right teams, you prevent and resolve issues faster. You cut through the deluge of alerts to focus on real issues.
  5. 5
    Delivers Benchmarks
    Against Peers
    Continuously track and optimize your services by comparing performance against industry averages, derived from massive amounts of anonymized customer data.
  6. 6
    Predicts When You Will Achieve
    Performance Goals
    The Intelligent Automation Engine uses prediction algorithms to project the time it will take to meet or exceed service performance goals and KPIs.

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