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AUTOMATIONS

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Business Process Automations

Business automation is a term for the use of technology applications that perform repetitive tasks, freeing up employees for higher value work. This includes business process automation (BPA), robotic process automation (RPA) and AI-powered automation. Automation is an excellent way to streamline operations and drive business growth. Automation tools are designed to replace human labor with machine labor so you can put those human resources to work elsewhere in the business.


Kenac’s has partnered with leading partners like IBM in business process automations offerings low code tools like the IBM Cloud Pak For Business Automations.Offering Faster processes and shorter client wait times that's the brilliance of AI-powered automation

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Content services and document processing

Intelligently classify and automatically extract data from enterprise content to unlock the value from unstructured content. Seamlessly manage the lifecycle of critical enterprise content with automatic governance to drive end-user productivity and regulatory compliance.

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Workflow management and decision services

Orchestrate and automate workflows and infuse AI into decisions . You can use these combined capabilities to:

  • Manage cases around risk-management activities and automate risk decisions, such as loan origination.
  • Isolate business rules within automated workflows to simplify and manage decision-making.
  • Expose decision automation to improve daily business operations.
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Process mining and Robotic Process Automation

To automate effectively, you should understand your true as-is process state. Apply process mining to identify key operational hotspots, then run process change scenarios to estimate potential impact. Finally, execute process automations quickly with robotic process automation bots and measure results for quick ROI calculation so you can:

  • Quickly understand as-is processes and generate results quickly after identifying process hotspots.
  • Pinpoint activities that should be automated.
  • Wrap AI around mining results and use machine learning to identify patterns and suggested next steps.
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