Do you want to transform your workforce, delight customers and cut costs with the help of business intelligence using cognitive automation?

Zuci’s Cognitive Automation Services

Zuci has been at the forefront of solving business problems using AI, ML, and computer vision technologies with Robotic Process Automation. We transform unstructured tasks into rule-based and structured tasks which enables end-to-end enterprise automation, thanks to our cognitive automation expertise.

Businesses that bank on us

Xpressdocs

Xpressdocs

Eze Software

Loris Gifts

Merrill Corporation

Unified

First Financial Service Center

Dr Chrono

Northern Arc

There is a lot of unstructured data available. Robotic Process Automation automates structured processes, but Cognitive Automation has the ability to structure the unstructured data for intelligent automation. It uses cognitive elements such as Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and other techniques to add meaning to the data.

Benefits of Cognitive Automation:
  • It makes businesses agile by automating highly complex processes using unstructured data
  • Better customer satisfaction based on customer-centric decision making
  • Better data security and compliance

  • Higher efficiency and reduced operation costs because of cognitive automation
  • Machine performed tasks can be recorded, which means that businesses can use this valuable data to improve its business processes

There is a lot of unstructured data available. Robotic Process Automation automates structured processes, but Cognitive Automation has the ability to structure the unstructured data for intelligent automation. It uses cognitive elements such as Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and other techniques to add meaning to the data.

Benefits of Cognitive Automation:
  • It makes businesses agile by automating highly complex processes using unstructured data
  • Better customer satisfaction based on customer-centric decision making
  • Better data security and compliance

  • Higher efficiency and reduced operation costs because of cognitive automation
  • Machine performed tasks can be recorded, which means that businesses can use this valuable data to improve its business processes

Zuci’s Cognitive Automation process with a client looks like this

scope requirements
SCOPE REQUIREMENTS

Understanding what our clients want and finding out how we can help them with cognitive automation is the first process we undertake.

DATA ANALYSIS

At this stage, the data that we have at our disposal is completely analysed. The implementation of the solution happens at this stage based on the data we have collected and the requirements of the client.

data analysis
model configuration
MODEL CONFIGURATION

The team develops the solutions based on RPA, Big Data, and Machine Learning. Different modules and interfaces are developed during this stage.

MODEL’S ACCURACY

We use random data to find the accuracy of the model that we have built. If the results are not satisfactory, then we re-work and find better solutions.

models accuracy
deployment
DEPLOYMENT

In this phase, the technology is deployed on the client’s system. All the other details will be mentioned during this so that the client can work on it independently.

SUPPORT

If there are instances where the components are not working at its optimal best, then the clients are alerted so that they can take measures.

support

Zuci’s Cognitive Automation process with a client looks like this

scope requirements
SCOPE REQUIREMENTS

Understanding what our clients want and finding out how we can help them with cognitive automation is the first process we undertake.

data analysis
DATA ANALYSIS

At this stage, the data that we have at our disposal is completely analysed. The implementation of the solution happens at this stage based on the data we have collected and the requirements of the client.

model configuration
MODEL CONFIGURATION

The team develops the solutions based on RPA, Big Data, and Machine Learning. Different modules and interfaces are developed during this stage.

models accuracy
MODEL’S ACCURACY

We use random data to find the accuracy of the model that we have built. If the results are not satisfactory, then we re-work and find better solutions.

deployment
DEPLOYMENT

In this phase, the technology is deployed on the client’s system. All the other details will be mentioned during this so that the client can work on it independently.

support
SUPPORT

If there are instances where the components are not working at its optimal best, then the clients are alerted so that they can take measures.

Our Work In Action

Want to know how Zuci transformed businesses with its superior cognitive automation services?

Our Work In Action

Want to know how Zuci transformed businesses with its superior cognitive automation services?

Understand how you can run a more effective business even while reducing
operating costs with our Cognitive Automation experts