The document discusses the roles of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in enhancing organizational efficiency and driving digital transformation. RPA increases productivity through automation of routine tasks with high accuracy, while AI offers predictive analytics and the ability to learn from data for informed decision-making. It suggests a balanced strategy that utilizes both technologies to maximize efficiency, productivity, and profitability.

1. RPA or AI –
What will benefit your
organization the most?

2. RPA and AI are now one of the most
talked-about technologies.
They drive growth in the enterprises by
- reducing costs
- minimizing human dependencies, and
- increasing the efficiency of
organizations.

3. But when you embark on your digital transformation
journey, you may face the following question -
“Should you consider RPA
implementation or Artificial
Intelligence(AI) systems?”

4. Robotic Process
Automation(RPA):The
role in your enterprise

5. • Software bots to automate repetitive, mundane,
and routine business processes
• RPA bots don’t learn from the repetitions
• Rule-based bots programmed to do particular tasks

6. Role of RPA in supporting
digital transformation

7. Consistency in result delivery
RPA increases the accuracy in performing repetitive
operations.
Humans can make errors due to tiredness but
RPA bots work with 100% accuracy.

8. An efficient enterprise
machine
Automation drives digital transformation by
multiplying the pace 4 to 5 times at which your
employees currently complete the tasks.
RPA works 24x7 because bots don’t get tired.

9. Cost-cutting is the new
normal
Imagine how much cost you could save if you replaced
all your back office employees who simply entered
data with RPA software bots?

10. Productivity Boost:The
biggest bonus from Robotic
Process Automation
RPA bots complete mundane tasks so your team can
focus on other essential tasks

11. Artificial
Intelligence(AI):The
role in your enterprise

12. • Technologies that can mimic human behaviour
• Self-learning technology that learns from the
data fed to it and makes decisions
• Simulate intellectual capabilities and act as
humans do

13. Artificial Intelligence(AI),
Machine Learning(ML),
and their role in digital
transformation

14. Predictive Analytics &
Maintenance
It involves analyzing historical data to make
predictions that conform to a certain pattern.
It saves you from huge costs that might occur from a
sudden machine breakdown.

15. Segment your
customers
By feeding in the demographics, age, gender,
behaviour, and other parameters, Machine Learning
algorithms can segment customers without any
hassle.

16. Minimize fraud, spam,
and security threats
Systematic AI implementation helps in minimizing
fraud by feeding parameters to the Machine
Learning models, which can easily detect the
anomalies in any system.

17. RPA and AI:The
automation intelligence
model of digital
transformation

18. “The right strategy for digital transformation
involves utilizing Artificial Intelligence(AI) in the
initial stages to structure the unstructured data,
then focusing on RPA implementation to extract
data and information,
and finally using AI to make intelligent,
informative, and insightful decisions. ”

19. So which technology
should you choose for
digital transformation?

20. If you want efficiency in the operational
process, RPA can be a good choice.
On the other hand, Artificial Intelligence(AI) is
the perfect technology if you want intelligent
machines to derive valuable insights.

21. The best strategy to implement both the technologies
in moderation such that each one complements the
other.
RPA and AI can provide your capabilities for increasing
efficiency, boosting productivity, and building an
organization with maximum profitability and ROI on
digital transformation.

22. www.botreetechnologies.com