Robot process automation | identification | automation

Robotic Process Automation

Robot process automation | identification | automation

Intelligent Automation

Intelligent Automation Center of Excellence

Intelligent automation, the seamless integration of Artificial Intelligence, Generative AI, Machine Learning, Analytics and Robotic Processes, heralds a transformative era across industries. This synergy empowers businesses to optimize efficiency and accuracy while reducing operational costs. By automating routine tasks, AI-driven systems enhance productivity, enabling employees to focus on higher-value, creative endeavors. Moreover, the synergy minimizes errors, maintaining a high standard of quality. Intelligent automation's real-time data analysis also facilitates informed decision-making, accelerating business growth. Ultimately, this technology reshapes workflows, fostering innovation, and propelling organizations towards a future of streamlined operations and heightened competitiveness.

Our Services

Robotic Process Automation

Hyper-Automation and Cognitive Intelligent Automation

Chatbots and Virtual Assistants

Machine Learning Solutions

Predictive Analytics

Intelligent Data Capture

Decision Support Systems

Workflow Automation

Analytics Process Automation (APA)

Process Mining and Optimization

Business Process Management (BPM) with Artificial Intelligence

Natural Language Processing (NLP) and Large Language Models (LLM)Solutions

Intelligent Document Processing (IDP) and Extraction

Our Solutions

Robotic Process Automation (RPA) is a subset of Intelligent Automation software that mimics human behavior to execute rule-based processes with limited or no human intervention. If your organization has any operations that fall under the below categories are potential candidates for automation.

  • manually done today
  • involve highly repetitive tasks
  • rule-based tasks

At Wissen, we take up robotic process automation engagement in a systematic way by following 3 step approach as described below:

Features

1

Process identification

In this step, we review proposed processes for automation and add qualified functions to the backlog. We identify data needed for the matrix and assign data collection.

2

Scoring and prioritization

In this step, we score and prioritize processes leveraging matrix data and kick off preliminary process flow design discussions.

3

Automation design

In this step, we draft RPA automated functional design for selected sub-process, Identify opportunities to optimize before automation (time-boxed), and discuss automation progression/increments for end-to-end processes.A typical business robotic automation scenario before and after implementation of RPA in an organization:

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