A recent Accenture survey shows that 66% of finance professionals prioritize digital transformation, with 33% having already modernized legacy systems. The integration of RPA and AI can automate up to 95% of finance tasks, significantly reducing costs and increasing productivity, while allowing professionals to focus on higher-value work. Successful implementations by companies demonstrate substantial improvements in process efficiency, compliance, and cost savings.

1. DIGITALLY
TRANSFORM
FINANCE?
ARE YOU READY TO

2. DIGITALLY
TRANSFORMING
FINANCE
In a recent Accenture survey, two-thirds of
respondents said that transforming finance operations
through digitally-based systems is a priority.
33%
48%
said that they had
already modernized their
legacy systems and…
had plans
to do so

3. RPA IS JUST THE BEGINNING
OF DIGITAL TRANSFORMATION
With RPA, you can replace repetitive, transactional
tasks and achieve benefits quickly.
40%
UP TO
Reduction of
transaction costs
2-3 times increase
in staff productivity
All realizable within
the first 12 months

4. GET MORE DIGITAL
TRANSFORMATION BENEFITS
WITH ARTIFICIAL INTELLIGENCE
While the accounts reconciliation process can be
80-85% automated using RPA, when you pair RPA
with AI, that percentage moves to 95%
To support compliance and regulatory reporting,
AI is also well suited for analyzing a company’s
contracts to adjudicate what revenue gets booked

5. LIBERATING FINANCE
PROFESSIONALS WITH
RPA AND AI
Free finance professionals to concentrate on analysis,
planning and high-value advisory support.
Analyzing Planning Advising
6 7 8
Transaction
Processing
Accounting Exercising
Control
Ensuring
Compliance
Reporting
1 2 3 4 5
RPA and AI automate over 80% of
these finance tasks….
…shifting finance
professionals’ focus to
high-value work

6. Companies are seeing
spectacular results from
AI, ANALYTICS
AND RPA

7. LOGISTICS COMPANY
Increased process
standardization from 1% to 80%
• reduced invoice processing
time from 15 days to 1
• improved error-free processing
from 30% to 75%
• reduced costs 30%
AI and RPA deployed
to improve finance operations
and improve working capital
80%

8. GLOBAL TRUCK
MANUFACTURER
$3 billion in revenue gains and
capital efficiency improvement
Applied advanced analytics and
detailed market data analysis to
match its capabilities to market needs

9. GLOBAL IT COMPANY
Improved ability to identify
non-compliant T&E claims by 60%
• saved the company more than
$50 million per year
• reduced human effort in the
auditing process up to 50%
Established AI-based solution
to improve time and expense
(T&E) process
60%

10. Reduced false positives by up to 30%,
allowing staffers to focus on the
accounts that require human
judgment and expertise
AI and machine-learning algorithms
segment transactions and accounts
LARGE GLOBAL BANK
30%

12. RULES FOR LEVERAGING
AI IN FINANCE
#1 #2 #3 #4 #5
Design for outcomes that have
meaningful business impact.

13. RULES FOR LEVERAGING
AI IN FINANCE
#1 #2 #3 #4 #5
Leverage ecosystem partners
and build on existing technologies
developed by others.

14. RULES FOR LEVERAGING
AI IN FINANCE
#1 #2 #3 #4 #5
Think beyond automation.
Re-imagine processes through the
lens of AI, deploying it to augment
employee capabilities and achieve
performance improvements.

15. RULES FOR LEVERAGING
AI IN FINANCE
#1 #2 #3 #4 #5
Build closer partnerships
between the business and IT
—a must for transforming
specific business processes.

16. RULES FOR LEVERAGING
AI IN FINANCE
#1 #2 #3 #4 #5
Invest in upskilling employees to
prepare them for assuming future
roles of higher value.

17. And move beyond the hype

18. THANK YOU
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For full survey details, visit:
www.accenture.com/DigitalFinance