Process AutomationStephen Mboroto
Here are the key components of process automation:
Workflow Automation: It involves streamlining processes for tasks to move more efficiently from one step to the next. It's about eliminating manual, time-consuming tasks like data entry and retrieval, improving efficiency, and reducing errors.
Artificial Intelligence (AI) and Machine Learning (ML): AI and ML can be used to predict future trends, automate decision-making processes, and improve the quality of outputs. They can also be used to learn from past actions and optimize processes over time.
Robotic Process Automation (RPA): RPA uses software bots to automate highly repetitive, routine tasks normally performed by knowledge workers.
Business Rule Engines: These are systems that execute one or more business rules in a runtime production environment. The rules might be quite complex, like if a customer orders more than $100, offer a 10% discount, or simpler ones like all orders must include sales tax.
Integrations: Process automation often involves integrating various systems to ensure smooth data flow and task automation. This might involve connecting an organization's CRM, ERP, and HR systems
What's included
Process Automation
Process Automation, often referred to as Business Process Automation (BPA) or Robotic Process Automation (RPA), is the use of technology to automate repeatable, day-to-day tasks. It accelerates how work gets done by routing information to the right person at the right time through user-defined rules and actions.
Example work
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Jupyter
Python
Automation Engineer
Service provided by
Stephen Mboroto Nairobi, Kenya
Process AutomationStephen Mboroto
Contact for pricing
Tags
Jupyter
Python
Automation Engineer
Here are the key components of process automation:
Workflow Automation: It involves streamlining processes for tasks to move more efficiently from one step to the next. It's about eliminating manual, time-consuming tasks like data entry and retrieval, improving efficiency, and reducing errors.
Artificial Intelligence (AI) and Machine Learning (ML): AI and ML can be used to predict future trends, automate decision-making processes, and improve the quality of outputs. They can also be used to learn from past actions and optimize processes over time.
Robotic Process Automation (RPA): RPA uses software bots to automate highly repetitive, routine tasks normally performed by knowledge workers.
Business Rule Engines: These are systems that execute one or more business rules in a runtime production environment. The rules might be quite complex, like if a customer orders more than $100, offer a 10% discount, or simpler ones like all orders must include sales tax.
Integrations: Process automation often involves integrating various systems to ensure smooth data flow and task automation. This might involve connecting an organization's CRM, ERP, and HR systems
What's included
Process Automation
Process Automation, often referred to as Business Process Automation (BPA) or Robotic Process Automation (RPA), is the use of technology to automate repeatable, day-to-day tasks. It accelerates how work gets done by routing information to the right person at the right time through user-defined rules and actions.
Example work
Stephen's other services
Contact for pricing