Proof of Concept Kit - Operations
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A document outlines FinTech enabled solutions that can help launch products within 100 days. It describes 14 solutions including frontline sales acceleration using gamification, speech analytics to improve customer satisfaction and sales, a virtual customer assistant using AI, digital customer onboarding, KYC automation with AI, voice biometrics for fraud reduction, call center performance improvement, scaling data access/storage without high costs, employee engagement, customer onboarding solutions, regulatory reporting simplification, data governance for compliance, an e-KYC solution for financial crime compliance, and an expense management solution using APIs. Each solution includes the challenges it addresses, its key technologies, a case study example, and its impacts on clients.
Proof of Concept Kit - Operations
- 1. EY FinTech – enabling product launch in 100 days or less Proof of Concept Kit September 2018
- 2. 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
- 4. 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
- 5. 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 6. 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 7. 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 Leading-edge tech capabilities 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 8. KYC automation using AI Ensuring accuracy and reliability of KYC documentation Reducing manpower overhead cost Enabling fully automated central KYC processes Leading-edge tech capabilities 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. Recommended configuration: • 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 9. 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com Leading-edge tech capabilities High performance server technology KYC unique authentication Seamless registrationAdvanced security
- 10. 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 Leading-edge tech capabilities 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 11. Scaling up data access and storage without scaling up costs Leading-edge tech capabilities 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. Recommended configuration: • 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 12. Employee engagement and empowerment Improving attraction and retention Improving performance and productivity Building a corporate culture Leading-edge tech capabilities 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) Recommended configuration: • 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 13. Context: A regional bank was seeking to digitalize customer onboarding, while maintaining compliance standards, through a series of identification and verification measures. Recommended configuration: ► 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 Leading-edge tech capabilities 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 14. 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. Recommended configuration: • 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 Leading interfaces and technology capabilities 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 Contact us 34 Varun Mittal varun.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 15. Varun Mittal varun.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com 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 Leading interfaces and technology capabilities Contact us 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
- 16. 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 Challenges faced by institutions 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. Solution configuration: • 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 Leading interfaces and technology capabilities Contact us 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 17. 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 Challenges faced by institutions 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. Solution configuration: • 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 Leading interfaces and technology capabilities 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.mittal@sg.ey.com Varun Parmar varun.parmar@sg.ey.com Sahil Gupta sahil.gupta@sg.ey.com
- 18. 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.