The future of treasury is NOW. Corporate treasuries are to act as strategic advisors, participating in C-level decision making and leveraging digital technologies. Digital technologies will not only cut costs in treasury but significantly increase the productivity of the workforce. This session will introduce the emerging trends for innovative treasury as well as case studies in analytics, RPA, AI and more.

1. EMERGING TRENDS IN TREASURY
Emerging Trends & Topics for an
Innovative Treasury
March 2019
Daniel Perkins, Principal Director
Accenture Lead Treasury Consulting North America
847-525-1084
daniel.perkins@accenture.com

2. 2
THE FUTURE OF TREASURY IS NOW: ANALYTICS,
ROBOTIC PROCESS AUTOMATION, ARTIFICIAL
INTELLIGENCE, BLOCKCHAIN AND CYBER SECURITY
Insight-driven strategic & digital Corporate Treasury
Intelligently Automated Treasury
CFOs have the ability to automate an additional 50% to 60%
percent of the finance function by transitioning to an organization
that uses big data and analytics as a consistent routine thereby
focusing on delivering high added value
Already today, CFOs from high performing
businesses state that their role in the decision
making process has increased. The transition of
finance, and Treasury, to a more strategic role and
the rise of digital will have a significant impact on the
Treasury workforce, such as deploying Robotic
Process Automation (RPA)
Blockchain’s impact on Treasury
Database technology that allows multiple stakeholders to
confidently and securely share access to the same data &
information on real time payments, debt & investment
management, settlements & trade finance will consolidate &
evolve in the coming years and Treasury should begin assessing
its impact in order to achieve real time transactions and savings
Cyber secure and fraud less Treasury
As money continues to become digital, world devices
go mobile and data explodes, cybersecurity
continues to gain relevance in the corporate world.
Advanced analytics will begin being utilized to model
and detect irregular behavior to fence treasury
systems towards achieving zero fraud and
impenetrable Cyber security
Digital
Treasury Hub
Accenture research on the impact of artificial intelligence
in its various forms reveals that AI will enable economic
growth rates to double by 2035
Treasury workforce of the future
Copyright © 2019 Accenture All rights reserved

3. 3
LEADING CORPORATE TREASURIES TO ACT AS
STRATEGIC ADVISORS, PARTICIPATE IN C-LEVEL
DECISION MAKING AND LEVERAGE DIGITAL
TECHNOLOGIES
In the new digital economy the
role of state of the art Treasury
organizations is to act as a
strategic partner to the CFO,
Finance and other functions;
and to lead in the rotation to
digital by:
 focusing on high added
value activities
 building capabilities which
support the decision making
process throughout the entire
organization
 implementing new digital
technologies such as
predictive analytics and robotic
process automation
Furthermore, Corporate Treasury
plays a leading role in protecting
margins by mitigating financial
risks in order to meet performance
metrics.
The role of Treasury
O Organization P Processes T TechnologyG Governance New Treasury capability
Organizational dimensions impacted by the deployed capabilities
Strategic
Treasury
Value added
Treasury
Efficient
Treasury
Transactional
Treasury
 Rationalize bank
relationships and manage
bank fees at a
global/regional level to
enhance negotiating
power
 Industrialize
transactional processes
by implementing payment
and collection factories
 Automate and
standardize processes
throughout the organization
to achieve operational
excellence and reduce
transactional costs
 Centralize and integrate
treasury management
systems
 Liaise with Procurement,
Supply Chain and Sales to
have greater visibility on
exposures at an earlier
stage
 Protect earnings-at-risk
by effectively managing
financial risks
 Implement outsource
lower value added
processes
 Build on-behalf-of
structures to drive
control & savings
 Roll out robotic process
automation capabilities to
reduce time spent on low
added value activities
 Operate a fully
automated, integrated
and digital Treasury
 Be a key C-level advisor
on M&A deals and debt
structuring
 Manage bank P&L
pragmatically by wallet
sizing
 Leverage big data and
predictive analytics in
Treasury
 Consider FinTech
technologies, especially in
the areas of payments and
foreign exchange risk
management
P
G Execute treasury and
operational transactions
 Hedge open positions at a
local level
 Obtain funds in a
decentralized manner from
local banks
P
G
T
G
P
P
T
P
T
O
P
T
G
T
The journey of
Treasury
O
O
Copyright © 2019 Accenture All rights reserved

4. DIGITAL TECHNOLOGIES WILL NOT ONLY CUT COSTS IN
TREASURY, BUT SIGNIFICANTLY INCREASE THE
PRODUCTIVITY OF THE WORKFORCE
4
Productive Treasury Workforce: powered by intelligent automation
Treasury Strategists
Digital Treasury Experts
CFOs will have the ability to further automate 50% to
60% percent of the finance function by transitioning
from an organization which uses analytics, big
data and machine learning occasionally to one
that makes it a consistent routine (1) . This will deeply
disrupt Treasury roles and it will increase the need for more
digital experts within the Treasury team.
78% of Executives today consider that besides traditional finance &
treasury skills, problem solving skills will become even more
important than technological skills (2). Going forward, recruiting and
retaining this talent will be key in order to rotate to the new
digital and strategic Treasury organization
Artificial intelligence is not only a cost savings enabler and when assessed pragmatically
it has the potential to increase the productivity of the Finance workforce by
as much as two to three times (5). Allowing the Treasury workforce to focus more
than ever before in strategic activities in the most productive fashion
Advanced analytics & artificial intelligence are enabling Treasury to transition to a more strategic role and this will impact the way
digital is used to complement the Treasury workforce to make them ever more productive
Copyright © 2019 Accenture All rights reserved

5. DIGITAL TREASURY OVERVIEW
• ANALYTICS
• ROBOTIC PROCESS AUTOMATION
• ARTIFICIAL INTELLIGENCE
• BLOCKCHAIN
• CYBER SECURITY
5Copyright © 2019 Accenture All rights reserved

6. USING ADVANCED ANALYTICS ACROSS TREASURY AS A
CONSISTENT ROUTINE TO BETTER PREDICT AND
UNDERSTAND DATA AND BECOME A HIGH PERFORMER
6
Typical business challenges How analytics solves these challenges
Cash Forecasting
Analytics
 Large volumes of data scattered across multiple systems
 Disorganized data sets with heterogeneous structure
 Large degree of accuracy variability
 Leveraging advanced analytics to reduce accuracy variability to
decrease cash buffers, minimize lost investment opportunities and
maximize return on outstanding cash holdings
Bank Performance
Analytics
 Lack of visibility over incurred bank fees
 Diminished negotiation power with bank relationships
 Over reliance on manual reporting
 Forecasting and simulating bank P&L and its main drivers in order
to proactively allocate business across bank relationships
 Modeling bank performance management to determine the factors
which most impact performance
Financial Risk
Management Analytics
 Delayed feed of exposure information
 Non-integrated treasury systems landscape
 Assessment-focus risk reporting
 Modeling and simulating financial exposures with alternative
hedging portfolios in order to determine the most effective risk
management strategy
 Building synthetic instruments to hedge exposures with hedging
instruments which truly replicate underlying exposures
Treasury Performance
Analytics
 Unclear reporting governing structure
 Disparate data & reporting standards across business units and functions
 Analyzing big data to report not only on the performance per se but the
drivers of Treasury performance and its probability of materializing
Supply Chain
Finance Analytics
 Silos of information across Treasury and Procurement
 Difficulty in presenting partners with a solid business case in favor of
Supply Chain Finance
 Using advance analytics to analyze the different spend patterns and
build distinct supplier clusters
 Leveraging predictive analytics to estimate the proportion of spend
that could be subject to dynamic discounting
Fraud & Cyber Security
Analytics
 Modeling of irregular behavior based on large pools of data in order to
build predictive fraud analytics
 Leveraging advances in machine learning to build cyber defense
fences around existing treasury management systems
 Over dependence on corrective controls rather than preventive and
detective controls
 Fragility of treasury management systems as cyber attacks against
corporates consolidate as a new normal
Copyright © 2019 Accenture All rights reserved

7. 7
AS THE PUSH TO GO INCREASINGLY DIGITAL
INTENSIFIES, RPA WILL CONTINUE POSITIONING ITSELF
AT THE FOREFRONT OF HUMAN-COMPUTER
TECHNOLOGY
Forces of inefficiency and complexity in Treasury Intelligent Automation Spectrum
Organizational:
• M&A and its accompanying integration issues
• Lack of control of treasury operations
• Manual and non-standardized processes
Technological:
• Multiple ERP and Treasury Management Systems
• Numerous bank communication platforms
• Abundant interfaces across organizations and systems
• Lack of data and communication standards
Environmental:
• High degree of financial volatility and economic and political
complexity across regions and countries
Regulatory:
• Multiple legal, regulatory and tax jurisdictions lead to
significant manual compilation and computation efforts
Integrated Desktop: consolidation of data from
multiple sources into a single interface in order to
complete a process
Robotic Process Automation:
application of technology to manipulate
existing software applications in order to
execute processes
Virtual Assistance: computer-generated character
which simulates a conversation to answer questions
or queries and provides guidance
Cognitive Computing: systems that gain
knowledge from data as if it were an
“experience” and apply what is learned in
upcoming situations
Selected benefits
of RPA
Cost savings associated to
the scalability of bots
handling tasks and
processes
Higher quality results due
to reduced human errors
Time saving gains, as bots
run on a 24/7 basis without
pausing and working at
machine speed
Run on top of existing IT
infrastructure and require
no IT transformation project
Full compliance adherence
to processes
Focus Treasury’s workforce
on adding value activities
Ability to micro-manage
operations when strategy
requires it
Copyright © 2019 Accenture All rights reserved

8. 8
In-House
Banking
Treasury Payment &
Intercompany settlement
Group Cash Management
Consolidation
Integrated Financial Risk
Management
Internal & external
Financing / Investment
• Multi currency cash pooling &
concentration
• Group Cash Forecasting
• Intercompany netting
• Treasury payments
• FX & IR Hedging • Interco funding & Deposits
• External Financing & Investment
Operational Payment &
Collection Factory
Operational Cash
Management & BAM Supply Chain Finance
GlobalFinancial
Clearing
• POBO/COBO/PINO/CINO
• Virtual accounts
• Operational CM & Cash
Forecasting generation
• BAM & eBAM
• Invest excess cash & funding
model
• Operate SCF
Bank Performance
• Bank rationalization
• Bank Fee Management
• Bank Fee Auditing
Treasury
InnovationHub
Reporting
Artificial Intelligence (RPA, AI)
Analytics
A I is a key component in the Treasury Innovation CoE
• Advancing scope of activities
• Driving Treasury strategy
• Support business by providing data insights
Artificial Intelligence is allowing Treasury to advance the scope of activities
Treasury is moving forward due to new Innovative
solutions and disruptive technology capabilities
Copyright © 2019 Accenture All rights reserved

9. BLOCKCHAIN’S DATABASE TECHNOLOGY
HAS THE POTENTIAL TO DISRUPT ENTIRE
PROCESSES OF TREASURY & W.C.
9
Drivers of inefficiency Impact on Treasury
Fast Syndicated
Loans
 Settlement requires a large amount of days due to
multiple counterparties
 Calculation of settlements have a high degree of
variance amongst parties
 Settlement of syndicated loans has the potential to go
from 20 days to 1 day (4)
 Integrated technology which allows for pertinent due
diligence and information sharing
Paperless
Distributed
Trade Finance
 Transactional costs of Letters of Credit are partly driven
by “documentation fees”
 Duplicative Bank Guarantees exist due to the inability of
banks to verify its authenticity
 Transparent relationship amongst all counterparties
involved
 Smart contracts which execute payments and
settlements based on imbedded specifications
Digital
Currencies
 Transactional costs of cash and other types of physical
money are more expensive than electronic ones
 Paper-money is prone to manual errors and theft
 Digitization of money will reduce handling and
transactional costs; and eradicate theft related to its
movement from retail-to-bank
Distributed
Consensus
Supply Chain
Finance
 Bureaucratic and paper-intensive onboarding and
operating process makes supply chain finance complex
 Availability of invoices and confirmation of goods
received are sometime lengthy processes and is
information most banks require
 Real time visibility by all parties on invoices
 Digitization of invoices, factored invoices and all relevant
documentation related to the Supply Chain Finance
program
Blockchain use cases
Copyright © 2019 Accenture All rights reserved

10. AS MONEY CONTINUES TO BECOME DIGITAL, THE WORLD
GOES MOBILE AND DATA EXPLODES, CYBERSECURITY &
FRAUD WILL GAIN MORE RELEVANCE IN CORPORATES
10
Cyber Secure & Fraud-less Treasury Systems
TMS and Bank Communication Platforms selection will not only be
based solely on functionality but on imbedded cyber-defense & fraud
detection capabilities. Additionally, going forward, Treasury will also
expect to receive White Books on Cyber Security on a regular basis
Cyber Secure Financial Partners
Cyber thefts to the SWIFT network during 2016 have put in manifest
that Treasury should actively ensure messaging protocols (e.g. e-
BAM, payments, deals, etc.), market infrastructure, and data stored
by banks relationships is cyber secure
Cyber Defense & Fraud Advanced Analytics
The field of advanced analytics and big data will be extended from
purely functional applications to machine learning based cyber defense
capabilities to fence treasury systems and algorithms to model
irregular patterns to prevent and detect fraudulent behavior
Cyber Insurance (*)
US and Middle East Treasury Hubs – which typically manage insurance
– will add cyber defense to its insurance mandate and begin acquiring
cyber defense insurance policies to hedge against cyber risk
Money is digitizing and
although most transactions (volume)
are still physical, digital money will
continue to gain importance
Mobile is
everywhere
across the
world…and
accessing a network
has never been
easier
Data is
exploiting…and
people, corporates,
governments and things
will generate large amounts
of sensible data
Cyber security and fraud come at a very large cost for Treasury and Finance as
it: deteriorates market trust, increases auditing fees, results in regulatory
and financial penalties and poses customer base at risk…
(*) Allianz predicts the cyber insurance market to grow at double digit figures until 2025 and to break the 20 billion dollar barrier within that time.
…This increases the need of harnessing the following
Cyber Defense & Fraud Security capabilities:
Copyright © 2019 Accenture All rights reserved

11. DIGITAL TREASURY PROCESS FRAMEWORK
• TREASURY PROCESS FRAMEWORK
• CASH FORECASTING AUTOMATION ENABLED BY
ANALYTICS
• TREASURY PROCESSES ENABLED BY RPA
• FX RISK MANAGEMENT AUTOMATION ENABLED BY
RPA
• TREASURY PROCESSES ENABLED BY AI
• TREASURY PROCESSES ENABLED BY BLOCKCHAIN
• TREASURY PROCESSES ENABLED BY CYBER
SECURITY
11Copyright © 2019 Accenture All rights reserved

12. TREASURY PROCESS FRAMEWORK
12
CORP.
FINANCE
PERFORMAN
CE
MEASUREME
NT
FINANCIAL RISK MANAGEMENT
COUNTERPARTY
RISK MGMT.
LIQUIDITY RISK
MANAGEMENT
FX RISK
MANAGEMEN
T
IR RISK
MANAGEMEN
T
COMMODITY
RISK MTMG.
TREASURY
ACCOUNTING
Valuation
Treasury
transactions
Posting
generation
&
interfacing
Period-end
closing
Monitoring
& reporting
ORGANIZATI
ON &
GOVERNANC
E
Treasury
strategy &
setup
Treasury
policies &
guidelines
Processes
and internal
controls
Ratios, KPIs
and
performance
managemen
t
Pricing & analysis
Transaction capture
Exposure management
Transaction execution
Confirmation & validation
Transaction settlement
Risk simulations & stress testing
Financial risk management reporting
Authorization & limit management
CASH & LIQUIDITY MANAGEMENT
EXT DEBT MANAGEMENT
ST DEBT LT DEBT
BANK RELATIONSHIP MANAGEMENTT
BANK
PERFORMANCE
MANAGEMENT
Bank fee
monitoring
Service
performance
monitoring
Strategy
Claims &
issue
managemen
t
Relationship
managemen
t
Debt terms & pricing
Control, monitoring &
reporting
Funding needs
EXT INVESTMENT
MANAGEMENTST
INVESTMENT
LT
INVESTMENT
Debt issuance
Transaction management
Principle & interest
settlements
Investment analysis &
quotation
Control. Monitoring &
reporting
Investment opportunity
Investment execution
Transaction management
Investment settlements
Covenants
Mgmt.
BANK
ACCOUNT
MANAGEMENT
KYC
managemen
t
Account
opening
Account
maintenanc
e
Account
closing
AML
managemen
t
Fair value
accounting
Accounting
reconciliatio
n
Guarantees
Mgmt.
CASH
POSITION
Bank
statement
processin
g
Treasury
reconcilia
tion
Daily cash
flow
forecastin
g
Daily
position
Cash
pooling/
concentra
tion
PAYMENTS
Payment
factory
Supply
chain
finance
COLLECTION
S
Collection
s factory
Factoring
/
Transacti
on finance
Transaction execution
Transaction optimization
Control monitoring &
reporting
Hedge
accounting
Transaction event management
PLANNING &
FORECASTIN
G
LT cash
flow
forecastin
g
ST & MT
cash flow
forecastin
g
IN HOUSE
BANKING
Internal
account &
statement
creation
Service fee
managemen
t
Intercompan
y balance
monitoring
Intercompan
y interest
managemen
t
Intercompan
y netting
FX netting
Intercompan
y loans
Treasury
reporting &
analytics
Capital
structure
managemen
t
Credit rating
managemen
t
TECHNICAL SUPPORT & ADMINISTRATION
Static data
managemen
t
System
security &
access
management
System
Infrastructure
dev. & Maint.
Project
implementatio
n
Technical
Issue
managemen
t
Collateral
Mgmt.
Copyright © 2019 Accenture All rights reserved

13. CASH FORECASTING AUTOMATION
ENABLED BY ANALYTICS
13
ToBeProcess
Manually gather current data from multiple
sources:
• Baseline Plan captured from Planning system
• Current Financial Data gathered from the
General Ledger or Financial Data
Warehouse
• Drivers such as Headcount, Facility Utilization,
Technology Utilization also collected
Data Gathering Workbook Creation Loading into Planning System
FP&A team gathers data and robots
help to centralize / garner the baseline
summary of information
Robots manage the creation of
all data worksheets to be used by
the Business
Robots upload information into the central
tool – and signals to the FP&A team when
data loading is complete
• Robots create and transmit the files
for bus dept heads
Load data into the Planning System:
• Perform uploads to the Planning System file by
file
• Ensure load is successful and results in the
Planning System match the submitted file
• Maintain list of errors / missing data
• Monitor progress and confirm once upload
procedures have been finalized
Receive
File /
Reminders
Validate
Confirm
Readiness
Data loaded into workbooks for
distribution to business dept head:
• Load and format data into
template
• Perform checks and balances to
confirm data accuracy
• Email file to each business leader
for next step processing
FP&A Team:
• Receives manual data from sources
• Begin process and trigger robots
Robot team:
• Pulls automated extracts where
possible
Robots team:
• Uploads files to planning tool 1:1
• Confirms load accuracy /
validate uploaded data matches
• Track issues / report errors
• Maintain progress report and
signal readiness
Digital Workflow
The FP&A team’s time can be spent on early insights, incremental analysis and additional business interaction while the data files are processed automatically
Missing Inputs
Receive files from each business
dept head:
• Capture files from email and
download to central repository
(e.g., sharepoint)
• Monitor and follow up with
leaders for ‘missing files’
• Open and validate spreadsheets
Validation
Robots capture files and validate
readiness for the next step
Format
Data
Confirm
Readiness
FP&A Team
• Address missing
data
Transmit
Files
Pre-automationPost-Automation
Copyright © 2019 Accenture All rights reserved

14. TREASURY PROCESSES ENABLED BY RPA
14
CORP.
FINANCE
PERFORMAN
CE
MEASUREME
NT
FINANCIAL RISK MANAGEMENT
COUNTERPARTY
RISK MGMT.
LIQUIDITY RISK
MANAGEMENT
FX RISK
MANAGEMEN
T
IR RISK
MANAGEMEN
T
COMMODITY
RISK MTMG.
TREASURY
ACCOUNTING
ORGANIZATI
ON &
GOVERNANC
E
Treasury
strategy &
setup
Treasury
policies &
guidelines
Processes
and internal
controls
Ratios, KPIs
and
performance
managemen
t
CASH & LIQUIDITY MANAGEMENT
EXT DEBT MANAGEMENT
ST DEBT LT DEBT
BANK RELATIONSHIP MANAGEMENTT
BANK
PERFORMANCE
MANAGEMENT
EXT INVESTMENT
MANAGEMENTST
INVESTMENT
LT
INVESTMENT
BANK
ACCOUNT
MANAGEMENT
CASH
POSITION
Bank
statement
processin
g
Treasury
reconcilia
tion
Daily cash
flow
forecastin
g
Daily
position
Cash
pooling/
concentra
tion
PAYMENTS
Payment
factory
Supply
chain
finance
COLLECTION
S
Collection
s factory
Factoring
/
Transacti
on finance
Transaction execution
Transaction optimization
Control monitoring &
reporting
PLANNING &
FORECASTIN
G
LT cash
flow
forecastin
g
ST & MT
cash flow
forecastin
g
IN HOUSE
BANKING
Internal
account &
statement
creation
Service fee
managemen
t
Intercompan
y balance
monitoring
Intercompan
y interest
managemen
t
Intercompan
y netting
FX netting
Intercompan
y loans
Treasury
reporting &
analytics
Capital
structure
managemen
t
Credit rating
managemen
t
TECHNICAL SUPPORT & ADMINISTRATION
Pricing & analysis
Transaction capture
Exposure management
Transaction execution
Confirmation & validation
Transaction settlement
Risk simulations & stress testing
Financial risk management reporting
Authorization & limit management
Transaction event management
Collateral
Mgmt.
Debt terms & pricing
Control, monitoring &
reporting
Funding needs
Debt issuance
Transaction management
Principle & interest
settlements
Investment analysis &
quotation
Control. Monitoring &
reporting
Investment opportunity
Investment execution
Transaction management
Investment settlements
Covenants
Mgmt.
Guarantees
Mgmt.
Bank fee
monitoring
Service
performance
monitoring
Strategy
Claims &
issue
managemen
t
Relationship
managemen
t
KYC
managemen
t
Account
opening
Account
maintenanc
e
Account
closing
AML
managemen
t
Static data
managemen
t
System
security &
access
management
System
Infrastructure
dev. & Maint.
Project
implementatio
n
Technical
Issue
managemen
t
Valuation
Treasury
transactions
Posting
generation
&
interfacing
Period-end
closing
Monitoring
& reporting
Fair value
accounting
Accounting
reconciliatio
n
Hedge
accounting
High
potential
Medium
potential
No or low
potential
Copyright © 2019 Accenture All rights reserved

15. FX RISK MANAGEMENT AUTOMATION
ENABLED BY RPA
15
Pre-automation
Users execute manually a
documented process across
applications
Users control the automated
execution, by robots, of a recorded
process
Local Exposure
identification
Input internal
hedges between
entity and IHB
Limits?
No
Yes
Determine the
net global
exposure
Generate and
distribute reports
Post-Automation
Allow to change hedging
strategy
RPA Technology has the capability to rapidly automate the Standard Operating Procedures of existing
business processes. It does not require to change processes and applications in place
Execute the
external trades
with the banks
Validate the
confirmation
matching
Input external
trades in TMS
Local Exposure
identification
Internal hedge
creation
Limits
?
No
Yes
Determine the
net global
exposure
Generate and
distribute reports
Execute the
external trades
with the banks
Validate the
confirmation
matching
Creation of
external tradesCheck
Exception
handling
Valuedelivered
Improve hedge
effectiveness
Move from macro
to micro hedging
Copyright © 2019 Accenture All rights reserved

16. TREASURY PROCESSES ENABLED BY AI
16
CORP.
FINANCE
PERFORMAN
CE
MEASUREME
NT
FINANCIAL RISK MANAGEMENT
COUNTERPARTY
RISK MGMT.
LIQUIDITY RISK
MANAGEMENT
FX RISK
MANAGEMEN
T
IR RISK
MANAGEMEN
T
COMMODITY
RISK MTMG.
TREASURY
ACCOUNTING
Valuation
Treasury
transactions
Posting
generation
&
interfacing
Period-end
closing
Monitoring
& reporting
ORGANIZATI
ON &
GOVERNANC
E
Treasury
strategy &
setup
Treasury
policies &
guidelines
Processes
and internal
controls
Ratios, KPIs
and
performance
managemen
t
Pricing & analysis
Transaction capture
Exposure management
Transaction execution
Confirmation & validation
Transaction settlement
Risk simulations & stress testing
Financial risk management reporting
Authorization & limit management
CASH & LIQUIDITY MANAGEMENT
EXT DEBT MANAGEMENT
ST DEBT LT DEBT
BANK RELATIONSHIP MANAGEMENTT
BANK
PERFORMANCE
MANAGEMENT
Bank fee
monitoring
Service
performance
monitoring
Strategy
Claims &
issue
managemen
t
Relationship
managemen
t
Debt terms & pricing
Control, monitoring &
reporting
Funding needs
EXT INVESTMENT
MANAGEMENTST
INVESTMENT
LT
INVESTMENT
Debt issuance
Transaction management
Principle & interest
settlements
Investment analysis &
quotation
Control. Monitoring &
reporting
Investment opportunity
Investment execution
Transaction management
Investment settlements
Covenants
Mgmt.
BANK
ACCOUNT
MANAGEMENT
KYC
managemen
t
Account
opening
Account
maintenanc
e
Account
closing
AML
managemen
t
Fair value
accounting
Accounting
reconciliatio
n
Guarantees
Mgmt.
CASH
POSITION
Bank
statement
processin
g
Treasury
reconcilia
tion
Daily cash
flow
forecastin
g
Daily
position
Cash
pooling/
concentra
tion
PAYMENTS
Payment
factory
Supply
chain
finance
COLLECTION
S
Collection
s factory
Factoring
/
Transacti
on finance
Transaction execution
Transaction optimization
Control monitoring &
reporting
Hedge
accounting
Transaction event management
PLANNING &
FORECASTIN
G
LT cash
flow
forecastin
g
ST & MT
cash flow
forecastin
g
IN HOUSE
BANKING
Internal
account &
statement
creation
Service fee
managemen
t
Intercompan
y balance
monitoring
Intercompan
y interest
managemen
t
Intercompan
y netting
FX netting
Intercompan
y loans
Treasury
reporting &
analytics
Capital
structure
managemen
t
Credit rating
managemen
t
TECHNICAL SUPPORT & ADMINISTRATION
Static data
managemen
t
System
security &
access
management
System
Infrastructure
dev. & Maint.
Project
implementatio
n
Technical
Issue
managemen
t
Collateral
Mgmt.
High
potential
Medium
potential
No or low
potential
Copyright © 2019 Accenture All rights reserved

17. TREASURY PROCESSES ENABLED BY
BLOCKCHAIN
17
CORP.
FINANCE
PERFORMAN
CE
MEASUREME
NT
FINANCIAL RISK MANAGEMENT
COUNTERPARTY
RISK MGMT.
LIQUIDITY RISK
MANAGEMENT
FX RISK
MANAGEMEN
T
IR RISK
MANAGEMEN
T
COMMODITY
RISK MTMG.
TREASURY
ACCOUNTING
Valuation
Treasury
transactions
Posting
generation
&
interfacing
Period-end
closing
Monitoring
& reporting
ORGANIZATI
ON &
GOVERNANC
E
Treasury
strategy &
setup
Treasury
policies &
guidelines
Processes
and internal
controls
Ratios, KPIs
and
performance
managemen
t
Pricing & analysis
Transaction capture
Exposure management
Transaction execution
Confirmation & validation
Transaction settlement
Risk simulations & stress testing
Financial risk management reporting
Authorization & limit management
CASH & LIQUIDITY MANAGEMENT
EXT DEBT MANAGEMENT
ST DEBT LT DEBT
BANK RELATIONSHIP MANAGEMENTT
BANK
PERFORMANCE
MANAGEMENT
Bank fee
monitoring
Service
performance
monitoring
Strategy
Claims &
issue
managemen
t
Relationship
managemen
t
Debt terms & pricing
Control, monitoring &
reporting
Funding needs
EXT INVESTMENT
MANAGEMENTST
INVESTMENT
LT
INVESTMENT
Debt issuance
Transaction management
Principle & interest
settlements
Investment analysis &
quotation
Control. Monitoring &
reporting
Investment opportunity
Investment execution
Transaction management
Investment settlements
Covenants
Mgmt.
BANK
ACCOUNT
MANAGEMENT
KYC
managemen
t
Account
opening
Account
maintenanc
e
Account
closing
AML
managemen
t
Fair value
accounting
Accounting
reconciliatio
n
Guarantees
Mgmt.
CASH
POSITION
Bank
statement
processin
g
Treasury
reconcilia
tion
Daily cash
flow
forecastin
g
Daily
position
Cash
pooling/
concentra
tion
PAYMENTS
Payment
factory
Supply
chain
finance
COLLECTION
S
Collection
s factory
Factoring
/
Transacti
on finance
Transaction execution
Transaction optimization
Control monitoring &
reporting
Hedge
accounting
Transaction event management
PLANNING &
FORECASTIN
G
LT cash
flow
forecastin
g
ST & MT
cash flow
forecastin
g
IN HOUSE
BANKING
Internal
account &
statement
creation
Service fee
managemen
t
Intercompan
y balance
monitoring
Intercompan
y interest
managemen
t
Intercompan
y netting
FX netting
Intercompan
y loans
Treasury
reporting &
analytics
Capital
structure
managemen
t
Credit rating
managemen
t
TECHNICAL SUPPORT & ADMINISTRATION
Static data
managemen
t
System
security &
access
management
System
Infrastructure
dev. & Maint.
Project
implementatio
n
Technical
Issue
managemen
t
Collateral
Mgmt.
High
potential
Medium
potential
No or low
potential
Copyright © 2019 Accenture All rights reserved

18. TREASURY PROCESSES ENABLED BY
CYBER SECURITY
18
CORP.
FINANCE
PERFORMAN
CE
MEASUREME
NT
FINANCIAL RISK MANAGEMENT
COUNTERPARTY
RISK MGMT.
LIQUIDITY RISK
MANAGEMENT
FX RISK
MANAGEMEN
T
IR RISK
MANAGEMEN
T
COMMODITY
RISK MTMG.
TREASURY
ACCOUNTING
Valuation
Treasury
transactions
Posting
generation
&
interfacing
Period-end
closing
Monitoring
& reporting
ORGANIZATI
ON &
GOVERNANC
E
Treasury
strategy &
setup
Treasury
policies &
guidelines
Processes
and internal
controls
Ratios, KPIs
and
performance
managemen
t
Pricing & analysis
Transaction capture
Exposure management
Transaction execution
Confirmation & validation
Transaction settlement
Risk simulations & stress testing
Financial risk management reporting
Authorization & limit management
CASH & LIQUIDITY MANAGEMENT
EXT DEBT MANAGEMENT
ST DEBT LT DEBT
BANK RELATIONSHIP MANAGEMENTT
BANK
PERFORMANCE
MANAGEMENT
Bank fee
monitoring
Service
performance
monitoring
Strategy
Claims &
issue
managemen
t
Relationship
managemen
t
Debt terms & pricing
Control, monitoring &
reporting
Funding needs
EXT INVESTMENT
MANAGEMENTST
INVESTMENT
LT
INVESTMENT
Debt issuance
Transaction management
Principle & interest
settlements
Investment analysis &
quotation
Control. Monitoring &
reporting
Investment opportunity
Investment execution
Transaction management
Investment settlements
Covenants
Mgmt.
BANK
ACCOUNT
MANAGEMENT
KYC
managemen
t
Account
opening
Account
maintenanc
e
Account
closing
AML
managemen
t
Fair value
accounting
Accounting
reconciliatio
n
Guarantees
Mgmt.
CASH
POSITION
Bank
statement
processin
g
Treasury
reconcilia
tion
Daily cash
flow
forecastin
g
Daily
position
Cash
pooling/
concentra
tion
PAYMENTS
Payment
factory
Supply
chain
finance
COLLECTION
S
Collection
s factory
Factoring
/
Transacti
on finance
Transaction execution
Transaction optimization
Control monitoring &
reporting
Hedge
accounting
Transaction event management
PLANNING &
FORECASTIN
G
LT cash
flow
forecastin
g
ST & MT
cash flow
forecastin
g
IN HOUSE
BANKING
Internal
account &
statement
creation
Service fee
managemen
t
Intercompan
y balance
monitoring
Intercompan
y interest
managemen
t
Intercompan
y netting
FX netting
Intercompan
y loans
Treasury
reporting &
analytics
Capital
structure
managemen
t
Credit rating
managemen
t
TECHNICAL SUPPORT & ADMINISTRATION
Static data
managemen
t
System
security &
access
management
System
Infrastructure
dev. & Maint.
Project
implementatio
n
Technical
Issue
managemen
t
Collateral
Mgmt.
High
potential
Medium
potential
No or low
potential
Copyright © 2019 Accenture All rights reserved

19. ROAD TO SUCCESS FOR USING DIGITAL
TECHNOLOGY IN TREASURY
• ACCENTURE TREASURY TRANSFORMATION
JOURNEY
19Copyright © 2019 Accenture All rights reserved

20. TREASURY OVERVIEW – OUR
TRANSFORMATION JOURNEY
2001 - 2005 2009-2013 2016 - 2018 2018 +
CENTRALIZATION INTEGRATION DIGITALIZATION INNOVATION
Global Liquidity
Management
• Centralized and rationalized banking
partners
• Established Regional Treasury Centers
• Standardized account structures
• Eliminated external debt
• Utilized single global platform
Treasury Transformation Project
• Enabled Bank -neutral platform (SWIFT) to
standardize integration
• Implemented cashless Intercompany strategy
resulting in accelerated settlement
• Integrated cash management processes with ERP
• Reduced headcount through automation and
process efficiency
• Adam Smith Award
Rotating to the New
• More accurate Liquidity planning
• Centralized bank account management
• Enabled new user experience platform
• Deployed Treasury analytics platform
providing real-time insights
• Optimized database model to centralize
cash & liquidity reporting
The Future is Now
• Revolutionize cash forecasting through
predictive analytics
• Modernize bank account structures through
/ on-behalf-of Virtual Accounts and leading-
edge strategies
• Automate fraud risk detection through
Artificial Intelligence and machine learning
Rationalized
banking
partners
globally
Launched
Regional
Treasury in
Sydney for
APAC
Risk Mgmt
trading
platforms
SWIFT
integration
Implement Core
Cash Mgmt on
ERP (SAP ECC
6.0)
Intercompany bill
automation (SAP
In-House Cash)
Enterprise
Insights –
Descriptive
Analytics
Dashboard
Implemented
In-house
bank
Upgrade to
Cloud based
Treasury
modules
Digitized bank
account data
and workflow
Automate cash
forecasting
Roll-out bank
account
strategies
Manage cash
as inventory
20