Intelligent Automation/Robotics

The winning combination of human and machine collaboration.

End to End automation is attainable with the incorporation of Intelligent Automation and Robotics. Even interfacing and automating functions performed on legacy applications no longer have to be a challenge



Kona Kai has the depth and breadth of experience in working with organizations to realized their end to end goals.

intelligent automation

Legacy systems getting in the way of transformation?


Intelligent Automation and Robotics play multiple roles in ensuring organizations can meet their technology objectives.


Today's Organizations need to find ways to incorporate new technology and capabilities, however sunsetting older legacy applications may not be necessary or feasible.   Using Intelligent Automation and Robotics, applications can be configured to automatically interface to perform tasks and/or data entry with legacy applications, maintaining back end functionality while leveraging front end technology.



Are your systems and processes causing issues?

Need existing

system insight?

Kona Kai leverages tools that will provide you with the analytics for your existing system users to make smart decisions

Dig Deeper

Can't break free from

 legacy systems?

By leveraging robotics, you can keep the existing legacy systems that cannot be removed but proceed with a technology evolution that can result in smart and more efficient applications

Dig Deeper

Want to become more personal with your clients?

Intelligent Automation provides capabilities that will deliver the right message to the right customer at the right time, taking into account actions the user is taking or a screen the user might be viewing

Dig Deeper

Do you know how the work your teams do actually gets done?

1

I need to understand what my employees are doing and how long it takes to complete tasks or transactions.

our solutions:


> Enable and review current workforce management tools 


> Measure and calculate average handle times and identify average time to process a transaction for a customer

2

We don’t know how many systems our teams are using or what they are using most often.

Our solutions:


> Identify total number of applications used to support any given process to support a customer.

Our systems and processes are costing us too much money.

3

How can we fast track integrations?

our solutions:


> Leverage tools to automate data mapping to expedite Application Programming Interface development.


> Leverage robotics to emulate key strokes to automatically pass data to buy time for more robust integration design.

4

How can we automate a repetitive step and relieve the cut/paste experience?

Our solutions:


> Identify the number of copy/paste actions taken and enable robotics to manage that process for a user.


Our systems and processes generate errors, which tie up additional resources to resolve.

5

How can we leverage our knowledge of what a customer will do so we can make predictions based on what they have done in the past?


OUR SOLUTIONS:


> We use customer data within marketing applications to determine customer demographic propensity to drive customer offerings.


> Create adaptive analytic models that will curate customer data independently and offer the best solution based on robotic/AI learnings.


> Use historical data to create predictive analytic models to inform robotic decisions to offer customers products or services based on historical data.


6

How can I leverage data we have on customers to create a better experience for a group of similar customers?

OUR SOLUTIONS:


> Use data harvested by data teams to devise predictive and adaptive models that will drive product offerings.

7

We need a way to determine which message/email/text is getting the most visibility and allow a system to pivot on demand.

OUR SOLUTIONS:


> Using customer interactions, we create marketing strategies leveraging how customers review marketing materials. Within those strategies we can then drive multiple product offerings based on historical data.

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