Proof of Concept Kit - Operations

EY FinTech – enabling
product launch in 100
days or less
Proof of Concept Kit
September 2018

Table of Contents
# FinTech enabled solutions Pg. No.
OPERATION 3
1 Frontline sales acceleration via gamification 4
2 Speech analytics for increased customer satisfaction and sales 5
3 Virtual (and intelligent!) customer assistant in a box 6
4 Digital customer on-boarding 7
5 KYC automation using Artificial Intelligence (AI) 8
6 Voice biometrics for reduced fraud 9
7 Call centre operations performance improvement 10
8 Scaling up data access and storage without scaling up costs 11
9 Employee engagement and empowerment 12
10 Customer on-boarding in a box 13
11 Regulatory reporting simplification 14
12 Data governance solution for ease of Compliance 15
13 e-KYT solution for FinCrime compliance 16
14 Expense Management Solution enabled by API 17
1

Frontline sales acceleration
via gamification
Improving turnover
rates of frontline
operations
Enhancing
productivity of
sales agents
Limited adoption of
frontline information
systems
Limited
coordination for
managing sales
Scaling up tools
to manage
performance
Design
considerations to
accelerate frontline
needs
Challenges faced by frontline channels
Empowering frontline staff and boosting channel
performance
Performance
management
Learning
games
Activity
acceleration
and tracking
Using mobility
tech for activity
acceleration and
tracking
“Management by
numbers” and
transparency around
performance drivers
Ensuring sustainable
change in productivity
and capacity building
Driving goal
orientation
and self-
management,
e.g, own
“game plan”
Creating easy-
to-access
knowledge
toolkit for
frontline
Context:
A regional bank based in Singapore was
seeking to improve sales effectiveness and
productivity of their frontline sales staff
across all business lines: retail, SME and
corporate banking. The bank was looking for
a digital tool for:
• Sales planning
• Activity tracking (daily activities)
• Performance management (scorecards
and incentives)
Recommended platform:
• Market landscape of sales acceleration
platforms capable of performing CRM-
lite functions such as lead
management, relationship
management and a 360-degree view of
the customer
• Identifying quick access use cases
made available to omnipresent
keyboard
• Defining management dashboards,
reporting frequencies and sales team
mobilization plans
Case study
Client impact:
• Improved both top and low performers in
the sales team
• Transparency of performance figures at all
levels
• Increased effective engagement of
frontline staff in sales and operations
• Achieved a 55% improvement in the
average productivity of sales agents
Leading interfaces and technology capabilities
Cognitive agents
(voice)
Gamification Recommendation
engine (sales
buddy)
Analytics of
frontline
performance
dashboards
AI keypad
(sales key)
Geo-tracking of
frontline
operations
Image processing
and OCR
Gamified learning
Sales knowledge
toolkit
Contact us
24
Varun Mittal
varun.mittal@sg.ey.com
Varun Parmar
varun.parmar@sg.ey.com
Sahil Gupta
sahil.gupta@sg.ey.com

Context:
A large Insurance provider experiences
large volume of calls daily in its call
center.
Large volume of calls make data analysis
through manual sampling and listening
virtually impossible.
The client wanted to monitor key
parameters such as sales conversion,
agent compliance and customer
satisfaction in this context.
Proposed solution:
• A trusted speech analytics product
was proposed to gain insights in three
main areas: sales conversion, agent
compliance and customer
satisfaction.
• Analysis was performed on 100% of
the calls to identify key trends.
• Real-time notifications were provided
to those agents who missed reading
out the disclaimer statements.
• Recommendations in terms of ideal
sales pitch was also provided to the
agents to increase sales conversion.
Client impact:
► Eighty-two percent increase in customer
satisfaction (CSAT) score level
► Twenty-six percent increase in agent
compliance
► Fourteen percent increase in sales
conversion
► Twelve percent first call resolution (FCR)
Speech analytics for increased
customer satisfaction and sales
AI
Sentiment
analytics
Automated
transcription
Business rules
configurator
Keyword
spotting
Dynamic language
switching
Speech analytics modules
Customer interaction challenges Case study
Recommendation
engine
Scoring
engine
Custom
management
information
system (MIS) and
analytics
Business challenges solution methodology
Minimizing
customers’ waiting
time between calls
Ensuring compliance
to regulations
Creating personalized
customer experiences
Creating more upsell
and cross-sell
opportunities
Benefits of speech analytics
Train call agents
Increase Up-Sell and
Cross-Sell
Cut monitoring costs
Improve compliance
Contact us
25
Varun Mittal
Varun Parmar
Sahil Gupta

Context:
An airline company wanted to extend
their customer services online by
providing virtual assistance to customers
online so as to increase customer
engagement that could predict and
answer any customer queries.
Recommended configuration:
• An online virtual assistant capable of
answering customer queries swiftly
was. Services for the customer can be
improved through the use of AI, which
is used to predict and analyze
customer queries that are raised, thus
answering them as accurately as
possible.
• Additionally, the virtual assistant can
provide automated customer
assistance through the use of NLU and
ASR to function as a “real agent.” The
virtual assistant is able to answer any
customer who speaks different
languages.
Limited number
of languages
available
Unable to provide
the service
around the clock
Inaccurate speech
recognition
Extended call
handling
duration
Poor call volume
management
Leading-edge tech capabilities
Challenges faced from providing virtual assistance Case study
Expensive care
costs for the
virtual assistant
Virtual (and intelligent) customer
assistant in a box
Improve services through software services
Natural language
understanding
(NLU) to
comprehend up
to more than 80
languages
Automated speech
recognition (ASR)
manages the call
and function similar
to a real agent
Artificial
Intelligence (AI)
trained and
programmed to
recommend
predictions
Solution benefits
Provide efficient
and fast outcomes
Reduce customer care
costs Manage call volumes
Ensure first call
resolution1
3
2
4
Implementation channels
Core banking
database
Microsoft office and
PDF
HRMS or
CRM
Websites
E-banking
system Databases
Interactive
voice response
(IVR)
Mobile app or
browser
Web chat Desktop
application
Virtual reality
Data sources
Transforms and cleanses all
structured and unstructured
data into javascript object
notation (JSON) format
Data ingestion layer
Javascript operating
system (JSOS)
Recommendation engine
Prediction engine
Machine
learning
Voice or chat
training
Cross training
Data ingestion layer
Service API
generated
Service
deployment
Hosted on public IP
Client impact:
• Reduced cost on customer care with
the help of automated virtual
assistance.
• Efficiently resolves a customer
queries.
• Cater to a wider range of customers
who speak different languages.
• Provides a better customer
experience.
Contact us
26
Varun Mittal
Varun Parmar
Sahil Gupta

Digital customer onboarding
Geographically
inconvenient
Resource
intensive
Identifying fraud
and security risks
Need for physical
offices for operators
and customer services
Limited customer
outreach and
engagement
Call center
functions
Proprietary
customer
identification
software
PSD2 and
data
protection
regulation
(DPR)
ready
Video-based
customer
service
Supervised
recording
Enhanced
security
certificate
and
signature
Virtual customer onboarding and service platform
Onboarding challenges faced
by financial institutions
Case study
Time-consuming
process leading to
poor customer
experience
WebRTC open-
source
technology
Proprietary
closed-circle
video system
Optical
character
recognition
identification
Chatbots
Context:
An insurance firm was seeking to improve their
customer service and sales operations via the use
of a digital tool. Instead of relying on traditional
physical customer service offices, they were
looking to implement a virtual customer service
office where all operations will be conducted
online. This was in line with their strategy to
digitalize traditional processes to maximize
productivity and utility of resources while
improving the quality of customer service.
Recommended configuration: This included the
creation of a video-based customer service
platform that is built into the bank’s and local
authorities’ existing online server infrastructure.
This platform included built-in features, such as:
• Online video customer service where the
bank’s customers were able to virtually
arrange and complete all administrative
tasks that were previously done by visiting a
physical branch office.
• It facilitated customer identification
(compliant to Hungarian and European Anti-
Money Laundering Act).
• Electronic signature infrastructure that
enabled the bank to issue their own
enhanced security certificates to customers
in compliance with the electronic
identification, authentication and trust
services (eIDAS) (Europe regulation).
Benefits of digital customer onboarding platform
Enhanced user
experience
Scalable and improved
back-end operations
Secure and private
verification
Fast transformation and
integration (eight weeks)1
3
2
4
5 Accessible through customers mobile devices’ browser,
while removing the need to download third-party apps
Client impact:
• Removed the need for bank’s customers to
physically visit a branch office
• Improved sticky customer experience
• Customer support efficiency improved by
250%
Contact us
27
Varun Mittal
Varun Parmar
Sahil Gupta

KYC automation using AI
Ensuring accuracy
and reliability of
KYC documentation
Reducing manpower
overhead cost
Enabling fully
automated central
KYC processes
Challenges faced by central bank branch Case study
Unifying data from
multiple sources
into a single data
lake
AI
Big data
optimization
Context:
A banking client was looking for solutions
to seamlessly integrate central KYC
banking operations as part of their digital
automation initiative. With over 13,000
bank branches operating globally, their
manual and multi-step KYC process
provides an intriguing opportunity for
banks to automate their KYC services.
• The AI-powered KYC engine allows the
bank to integrate the KYC processes
into a four-step process by automating
the uploading process, as well as the
classification and scoring of KYC
documents.
• Scanning all the customer’s
documents, such as proof of identity
(POI), proof of address (POA), account
opening form (AOF) and client
information sheet (CIS), collectively in
a single go ensures all documents are
correctly tagged to a specific individual
so as to ensure the overall accuracy of
the KYC documentation results.
Client impact:
• Bank can facilitate a seamless customer
onboarding process with fast and accurate
KYC processes.
• The time to process a client’s KYC
document had been reduced from an
average of 18 minutes to less than an
average of 1 minute.
• It increased the KYC processing scale to
over 0.8 million documents a day.
• Automation of processes reduced over
6,000 manual-resources across the
organization.
Cryptography
Minimizing labor
intensive processes
Maximizing banking
operations utility and
efficiency
Fully automated KYC solution powered by AI
AI engine
sorts and
tags the
different
documents.
Only a single
scanning is
required for
all
documents.
Output is
generated in
central KYC
format.
All documents
of customer
are
collectively
scanned in a
single go.
Features of fully automated KYC solution
• Visual recognition of ID
• Face biometrics
• Data extraction from
documents
• Storage of sensitive
documents
• Executed transactions
audit trail
• Secure sharing
• Fast querying across
large datasets
• Efficient mapping for
faster lookups
► In less than a minute
Final output is
completely KYC
compliant and
stored securely
Core AI engine custom-trained on the
basis of bank’s own data
Computer vision capability for object
detection, OCR, intelligence
character recognition (ICR) and so
on.
Biometrics capability for face
recognition
API capability for handling different
applications at massive scale
Contact us
28
Varun Mittal
Varun Parmar
Sahil Gupta

Prone to phishing,
smishing and
vishing
Security tokens
easily misplaced
and go out of time
sync
Arduous
questioning
process
Challenges of current authentication process Case study
Remembering too
many passwords Context: An organization was looking to
eliminate fraud in consumer transaction,
and mitigate the risk of unauthorized
access to sensitive information.
Recommended solution: It involves a
FinTech platform with a voice biometrics
technology, which assures user
authentication by using every
individual‘s unique voiceprint.
• This technology reduces the costs
and risks associated with
authentication that requires password
or sharing of sensitive data.
• This voice biometrics solution offers
an innovative alternative for remote
user authentication irrespective of
access device and language.
Voice biometrics for reduced fraud
Fully integrated voice authentication systems
Solution benefits
Average handling time
with agent reduced from
20 to 40 seconds
Up to 99.995% success
rate with automated
authentication
Improved KYC
management
Up to 10 times
reduction in fraud in
the contact center
1
3
2
4
Voice authentication features
Fraudster
enrolment
Automated
calibration
Background
model
Nasal cavity and
lung capacity
Panic
detection
Twenty-for
machine
parameters
Liveliness
detection
Passive
authentication
Pitch, tonality
and frequency
Client impact:
• Removed the need for an access device
• Reduced call time and cost
• Improved fraud protection
• Enhanced consumer experience
• Maintained brand equity
Contact us
Pass phrase
Customer
or
employee
Claimed ID
plus audio
Verification
results Secure
access to
contact
center or
helpdesk
Secured
interaction Secure
information and
automated
transaction
Interactive voice
response (IVR) or
web or voice
platform
29
Varun Mittal
Varun Parmar
Sahil Gupta
High performance server
technology
KYC unique
authentication
Seamless registrationAdvanced security

Call centre operations
performance improvement
Improving agent
productivity
Reducing
customer
waiting queues
Mining and
analyzing existing
customer data
Scaling up tools
to manage
performance
Designing tools
and systems to
suit frontline
needs
Performance
management
Feedback
governance
Intelligent
transaction
allocation
Instant survey
trigger—mobile
first
Demand
forecasting
work stream
Actionable
alerts and
notifications
Rich analytics
(sentiment
analysis and
word cloud)
Core
gamification
engine
Complete
gratification
loop
Context: A regional bank, with presence in
multiple countries, was looking to improve call
center operations agents by:
• Increasing payments processing
throughput
• Reducing turnaround time (TAT) and
error rates
• Driving overall agent engagement
Recommended configuration included a laser-
edge focus on metrics to deliver tangible
business impact:
• Impact metrics: KPIs — throughput (i.e.,
error-free applications processed per
agent)
• Activity metrics: key activity indicators
(KAIs) — error rates, TAT, attendance,
availability, complaints and so on
Empowering operations to improve client
interactions in real time
Challenges faced by call center operations Case study
Accurate demand
forecasting and
capacity planning
Gamification for
incentives
Recommendation
engine
Actionable
intelligence
Activity
management via
keypad
Cognitive agents
(voice and chat)
Knowledge
management system
Client impact:
• Reduction in daily forecasting
errors, leading to cost reduction
and capacity optimization
• Shaped a heuristic algorithm by
leveraging on-call data handled to
route calls to group with right
skills and high level of accuracy
• Double-digit Increase in
productivity
Contact us
30
Varun Mittal
Varun Parmar
Sahil Gupta

Scaling up data access and storage
without scaling up costs
Futureproofing institutions for the big data revolution
Challenges faced by institutions Case study
Inaccurate data
extraction from
legacy systems
Isolated data
sources
Resource-
intensive
reporting
Lack of data
storage
infrastructure
Advanced
analytics
processing
requirements
and complexities
Data
segregation and
security issues
Context: A top Indian bank was faced with a
large increase in its data warehouse volumes
because of a number of reasons: post-
acquisition, organic growth in customer base
and increasing data from online channel. Data
growth was set to double over the next few
years, and data compression within a ‘data
lake’ was an option for cost-effective archival.
However, the bank sought to ensure fast
access to active warehouse data, while
ensuring secure access to compressed data in
parallel.
• To demonstrate the platform’s
capabilities, data was loaded to a
Hive-staging table. Vendor solution
was deployed to join the Hive-staging
table with existing data warehouse
tables using sample queries.
• A sample interface was created to
generate account statements based
on consuming data from both data
sources.
• The solution included advanced data
capabilities such as compression,
encryption through customized
functions and in-memory parallel
processing.
Better
dashboards
In-the-
moment
offers
Faster
KYC
Cost
savings
Data
security
Advanced
analytics
Data
unification
Real time
High-speed
processing
Storage
optimization
Minimum
data
replication
Machine
learning and
AI
Client impact:
• Migration to a data lake plus data
compression enabled an 80% reduction in
data storage.
• Data queries ranged from 2 to 30 seconds
depending on the query complexity.
• It resulted in ease of deployment, fast
performance and scalability.
Contact us
Transaction
system or
CRM data
REST API
Online reviews or
social media data
With data
lake
Data lake for
structured and
unstructured
data
Comma-
separated
values
(CSV) files
Skip data lake warehouse
Vendor solution:
t
Single view Data visualization On cloud On premise
Data analytics Regulatory
reporting
Online
applications
31
Varun Mittal
Varun Parmar
Sahil Gupta

Employee engagement
and empowerment
Improving attraction
and retention
Improving
performance and
productivity
Building a
corporate culture
Challenges faced by human resource teams Case study
Maximizing
employees fulfilment
and well-being
Cloud data storage
Data analytics
visualization
Context: A banking client was looking for
solutions to seamlessly integrate central
employee management platform that is
able to provide solutions for the following
challenges:
• Nomination workflow customization
• Redemption catalog
• Reporting and analytics
• Engagement features
• Lack of recognition modules
Client’s existing system set-up:
• SAP success factors (HRMS)
• Healthify (health and wellness app)
• Easy-to-use, scalable and secure
software-as-a-service (SaaS) platform
to manage employee and business
partners rewards, and performance.
Client impact:
• Bank successfully implemented a central
employee management system that
provides real-time monitoring on key
employee indicators
• Multi-factor reporting that covers different
aspects of employee engagements (i.e.,
employee satisfaction survey report, mood
and engagement report, and so on)
• Improved engagement and productivity
• Better rest and recreation (R&R) spend and
return on investment (ROI)
API integration
Rewarding and
recognizing
employees efforts
Driving employee
ownership and
engagement
Engagement and recognition platform features
Analytics
Live
analytics
and insights
Mobile
Real-time
recognition
Perks
Flexible,
scalable and
cost-effective
Social
Organization-
wide
proliferation
• Cloud-based system
updated on real-time
basis
• Secured sharing and
collaboration
• Dashboard interface
to allow effective
monitoring
Reward
strategy
System
integration
Continuous
monitoring
Reward platform framework and solution
• Defining reward
objectives
• Recognition
analysis
• Defining
nomination
workflows
• Cost optimization
and process
efficiency
• Automation of
operational
processes
• Integrated
engagement,
rewards and
nomination
platform
• HR, CRM, sales
and marketing
integration
• Automated
engagement KPI
reporting
• Employee mood
and engagement
report
• Employee survey
reports and
analysis
21 3
Contact us
32
Varun Mittal
Varun Parmar
Sahil Gupta

Context:
A regional bank was seeking to digitalize
customer onboarding, while maintaining
compliance standards, through a series
of identification and verification
measures.
► It used biometrics and national ID for
identification, as well as for storing
immutable digital contracts.
► KYC processes, including running
background checks on customers were
also provided.
► The platform was also used to reduce
the frequency of false positives.
Overall, the solution brought down
customer dropouts by 66% and
increased productivity by three times,
while improving compliance standing.
Client impact:
• Removed need for physical contract
and manual verification
• Enabled automation of paperwork
processes
• Increased efficiency of customer
onboarding
• Reduced risk of fraud and forgery
• Increased productivity by three
times
Reducing
duplication of KYC
documents and
paperwork
Eliminating the
need for manual
verification of calls
and address visits
Accelerating
lengthy back-
office processes
Optimizing resource
allocation to reduce
operational cost
Enhancing customer
onboarding journey
by reducing identity
verification time
Challenges of KYC processes Case study
Digitally catering
to regulatory
needs in real time
Customer onboarding in a box
Proprietary digital trust solution
Digital KYC
Bank-grade
digital KYC in
real time
Digital contracts
Securing digital
contracts using
national or
corporate ID and
biometrics
ARI
Algorithmic risk
intelligence (ARI)
ensuring
enhanced online
due diligence
Distributed ledger
technology
National identification
card KYC authentication
AI and machine learning
based core regulatory engine
Advanced cryptography
Solution benefits
Enhanced user
experience
Scalable and improved
backend operations
Secure and private
verification
Fast transformation and
integration1
3
2
4
Contact us
33
Varun Mittal
Varun Parmar
Sahil Gupta

Regulatory reporting simplification
Extended adoption
period required from
manual process
migration
Requiring an agile
yet robust solution
that can adapt to
ongoing regulatory
changes
Short extraction and
aggregation period
for regulatory
submissions
Embedding of data
transformations
and business logic
to meet reporting
requirements
Challenges faced by banks
Simplifying and automating reporting processes
Automates
existing manual
processes
Simplified
data
management
Flexibility in
data sources
and
configurations
Solution
handles all data
volumes and
performance
requirements
Data
traceable
back to the
source
Data and
calculations
can be stored
and reused
Case study
Context: An India-based global life insurance
company was seeking a solution for
automating, simplifying and hastening its
regulatory reporting process. In addition, the
company was keen to leverage this reporting
architecture to support other value-added
customer services.
• Connectivity to a variety of internal
databases required to populate reporting
templates
• Implemented a rules-based workflow
engine that streamlines the processes
needed to comply with regulatory
requirements
• Automated of manual data extraction,
transformation and loading processes to
save resources and time
• Modeled multi-sourced enterprise data to
ensure alignment with reporting
requirements
• Implemented a Hive data lake to enable
360-degree view of the customer
Client impact:
• Achieved a 20% reduction in extract,
transform and load resourcing
• Cost-effective data storage capability for
high-volume structured and unstructured
data
• Regularly refreshed up-to-date single
customer view across multiple
departments
Data
aggregation
Data
transformation
across sources
Process
automation,
virtualization
and parallel
processing
User
authentication
and audit
protocols
Support for
predictive
analytics
Support for
transactional
applications by
leveraging APIs
Data ingested
from source
systems
directly
Reports
generation
aligned to
required formats
Utilizes web
browser
dashboards
Granular
permissions
for hundreds
of users
Supports
required
formats and
electronic
submissions
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34
Varun Mittal
Varun Parmar
Sahil Gupta

Varun Mittal
Varun Parmar
Sahil Gupta
Data governance solution
for ease of compliance
Long preparation
time to submit
regulatory
documentation
Saving hard and soft
costs on storage
penalties, legal
expenses and
reputation
Reducing IT, security
operations and legal
costs
Locating confidential
data easily and
ensure digital
security
Challenges faced by institutions
Simplified data management
Automated
sorting of data
into central
database
AI-enabled
data
governance
Reads
documentation
even in different
languages
Identifying and
classifying
documents
Expediting the
investigation
process, data
subject access
request, avoid
litigation and
penalties
Multiple
grouping
options such
as semantics,
topics and so
on
Case study
Context:
A global bank providing investment banking,
asset management and wealth management
services to private, corporate and
institutional clients worldwide was seeking a
solution for automating, simplifying and
hastening its data governance process.
Solution configuration:
• Recommended solution sifts through all
data to identify, classify and categorize.
It can group documents by semantic,
nature and topic.
• Passive scanning of all files in your data
repository and detect new information or
updated records.
• Prediction of information and data
ownership through embedded workflow.
• It can tag the relevant level of
confidentiality based on content and
organization policies.
• It enables collaboration with data
stewards easily to provide meaningful
insights and maintain context around the
data.
Client impact:
• Reduced manual verification
• Easier compliance with regulations
• Ability to identify, access and secure
classified information
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Deep learningMachine
learning
Natural language
processing
Complying with
laws and
regulations with
fast and
accurate data
identification
Eradicating
manual and
repetitive
work prone to
human error
Customizing
dashboard to the
organization’s
needs and report
requirements
Big data analysis
35

e-know your transaction (e-KYT)
solution for financial crime compliance
Detection of
financial crime
and insufficient
AML technology
Long
transaction
processing time
and tedious
process
Discrepancies in
documentation
because of paper-
based
documentation
Automated data sorting and analytics
Classify data and
log the results in
a distributed
ledger
Monitor and track
data to provide
meaningful
insights
AI-enabled
data
governance
Distributed
public key
infrastructure
Know your
Transaction
(KYT)
Lean
application
stack, which
minimizes the
IT cost required
to scale
Context:
A global bank facing issues with financial
crime compliance was seeking a solution for
automating, simplifying and hastening its
data governance process and data
protection.
• Append-only database, allowing the
storage of payment attributes and
related documents
• Tokenization and indexation engine
managing transaction documents and
attributes
• Auditing trail — digital stamp on events
for internal auditors and regulators
• Enabling integration with banks
channels — web portals and mobile
apps
• Validating information to be sent when
requesting restricted information
• Payment screening system connector
to automatically request and retrieve
Case study
Client impact:
• Automate and control processing of both
sent and received requests for
information of payments
• Increase transparency of the purpose of
transactions with controlled sharing of
supporting documents and KYC
information
• Enable auditability of payment processing
and compliance checks with immutability
and irrefutability supported by distributed
ledger technology
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Comply with
data protection
regulations
Eradicating
manual and
repetitive
work prone to
human error
Financial crime
compliance
Connect your
operational
databases to
Serra via
RESTful APIs.
Implement
configurable policies
for information
exchange.
Track and manage
transaction
information with
tokens — globally
unique identifiers.
Operational
database
Operational
database
Platform Platform
Information
ValueSending
bank
Sending
bank
ConsensusDistributed
ledger
Distributed
ledger
36
Varun Mittal
Varun Parmar
Sahil Gupta

Expense management
solution enabled by API
Legacy platforms
with lesser flexibility
and configurability
Proactive decision-
making by tracking
budgets in real-
time
Accelerating lengthy
back-office
processes
Paper-based practices
slowing down key
processes and
increasing labor cost
Reinvented business expense management
Real-time
expenses
tracking
Detailed
analytical
reporting
Instant fund
transactions
Automated
record of
transaction
upon card usage
Limits and
controls to
keep expenses
in check using
multi-tier
approval
Smooth data
feed to
accounting
systems
Case study
Context: A global bank providing investment
banking, asset management and wealth
management services to private, corporate
and institutional clients worldwide was
seeking a solution for automating, simplifying
and hastening its expense management
process.
• It implemented an end-to-end fully
automated expense management
platform that streamlines the processes
taken for tracking funds, expenses,
transactions and reporting while
complying with the compliance policy.
• Manual processes were automated to
save resources and time.
• Using API integration, solution
seamlessly synchronizes data with
accounting, Enterprise Resource
Planning (ERP) systems and Human
Resource Management Systems (HRMS)
that client uses to eliminate the double
data entry
Client impact:
• Seventy-five percent reduction in
processing costs
• Ninety-six percent reduction in
paperwork
• Hundred percent expense policy
compliance
• Seven times faster reimbursement
• Working capital optimized by sixty-eight
percent
• Zero percent cash leakage
Contact us
One-click
reconciliation
and reporting
Quick capture
of receipts on
mobile
Tighter control
over travel
spends with
limits and
policies
Channel-
specific limits
Real-time
expense in one
place
Smart expense
policies
Customize
approval
workflows
Cut-off date
reminders
Reconciliation
summaries
37
Varun Mittal
Varun Parmar
Sahil Gupta

EY | Assurance | Tax | Transactions | Advisory
About EY
EY is a global leader in assurance, tax, transaction and
advisory services. The insights and quality services we
deliver help build trust and confidence in the capital
markets and in economies the world over. We develop
outstanding leaders who team to deliver on our
promises to all of our stakeholders. In so doing, we
playa critical role in building a better working world for
our people, for our clients and for our communities.
EY refers to the global organization, and may refer to
one or more, of the member firms of Ernst & Young
Global Limited, each of which is a separate legal entity.
Ernst & Young Global Limited, a UK company limited
by guarantee, does not provide services to clients.
For more information about our organization,
please visit ey.com.
© 2018 EYGM Limited.
All Rights Reserved.
EYG no.
ED None
This material has been prepared for general informational
purposes only and is not intended to be relied upon as
accounting, tax or other professional advice. Please refer to
your advisors for specific advice.

Proof of Concept Kit - Operations

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