App Store | Orion
Discover hidden connections between individuals to help visually identify organised financial crime groups through link analysis.
Ensure your investigators are notified the moment suspicious organised crime activity starts to impact their business through a range of user configurable functions.
Over £24 billion is under investigation each year within Orion networks and over 50,000 auto generated networks are produced, helping to prevent financial crime.
Orion gives you the functionality and flexibility to uncover and prevent organised fraud from infiltrating your organisation:
Orion is already installed in a number of Tier 1 Banks and Insurance companies helping to prevent organised fraud from impacting their business by identifying hidden connections in their data.
The latest in data visualisation and analysis functionality capable of working with vast quantities of disparate information.
Orion is capable of being configured to your needs and is compatible with multiple data sources.
Web based software means that you do not have to worry about hosting and supporting the solution.
Orion can help your organisation to understand multifaceted interactions better to ensure you stay ahead of complex organised fraud.
Configure a range of automated network monitoring and generation capabilities to speed up the ability to make good decisions.
Our people are helping to shape the future of what’s possible across all of the markets related to your business.
Read some of our case studies here.
Creating an effective CBILS and Bounce Bank Loan Scheme (BBLS) post award fraud check and recovery strategy to reduce the hidden costs associated with loan write-offs. The speed at which the Coronavirus Business Interruption Loans Scheme (CBILS) was deployed to ensure UK business stability, at what was probably the most precarious time for British business since the end of World War II, has been a testament to the agility, commitment and professionalism of the UK banking industry. However, as the COVID19 pandemic unfolds those businesses who have taken out these government backed loans will have to consider a sensible repayment strategy as we emerge from this crisis and they begin trading again. While the UK Government has agreed to underwrite the majority of the loans, financial institutions who have awarded CBILS and Business Bounce-back Loans (BBLS) will still be expected to make efforts to recover them where appropriate. This recovery process will obviously impact these institutions as they deploy costly resources to administer and engage with customers on developing sensible repayment plans. Additionally there are instances where a proportion of the writeoff of some loans provided will directly impact banks directly, financially1. The following analysis from one of Synectics Solutions data aggregation Subject Matter Expert’s considers how access to collaborative fraud intelligence, enriched with additional business composition data, can help banks to cost effectively create a CBILS / BBLS loan recovery strategy that will help them to identify fraud - as well as avoid wasting valuable resources trying to recover loans from businesses who are still unable to trade. TIME TO PRIORITISE THE RECOVERY FOR CBILS AND BBLS Describing the current situation in the UK as an “unprecedented time” has become cliché over the last 12 weeks. The British economy has been forecast to be potentially facing the biggest recession in over 300 years2, with small to medium sized businesses across the country facing over £105 Billion of unsustainable debt3. Unsurprisingly UK industry has turned to the British Government for support, who in turn have relied upon British banks to spearhead the distribution of the economic stimulus packages - which were speedily put in place to mitigate the risk of total economic collapse in the face of the COVID 19 pandemic. What began with a £30bn stimulus package4 soon turned into £330bn5, with measures mainly focusing on paying staff wages, payment holidays, and propping up businesses that are unable to trade as usual due to the lockdown. However, fears are already growing that UK banks will be saddled with over £36 Billion in toxic debts from loans that will ultimately become unrecoverable as outlined in this recent analysis by The Guardian6. Outside of covering staff costs, stimulus packages for businesses have fallen under two schemes – the Coronavirus Business Interruption Loans Scheme (CBILS) & the Bounce Back Loans Scheme (BBLS). RISK FACTORS Fraud checks were one of the few measures included within the BBLS scheme as it was rolled out. In fact Synectics’ collaborative fraud intelligence database (National SIRA) has been at the heart of the measures in place to help with that and was a resource specifically mentioned within the UK Government’s legislation accompanying the BBLS and CBILS schemes. As a result, Synectics have already processed a large proportion of these loans and are able to easily identify incidences of fraud, where a business may have successfully applied for multiple loans with multiple lenders. For the BBLS, banks have been mandated to underwrite loans without assessing affordability. Now as the dust is beginning to settle, it is essential to begin prioritising post-award fraud checks, collections & recovery processes to effectively identify which businesses should be getting in touch with their banks to arrange a repayment strategy as they begin trading again over the next 12-18 months. However, to create a more effective collection strategy for these loans, and one that goes beyond just a simple fraud check, we would advise analysing a wider set of risk factors to create a much more intelligent recovery strategy that will help to better prioritise cases, that require investigation or recovery - and avoids a costly and ineffective ‘one size fits all’ approach to your collections processes. For the BBLS, banks have been mandated to underwrite loans without assessing affordability. Now as the dust is beginning to settle, it is essential to begin prioritising post-award fraud checks, collections and recovery processes.” Additional data that we feel would be relevant in this use case would be as follows; Trading Status was the business trading prior to lockdown and has the business begun trading again? Affordability is there financial information available about the business to assess affordability and repayment? Geographic Area is the business located in an area which was already struggling prior to the lockdown, and how is this area recovering in comparison to the national average? Key Personnel are there any characteristics about key personnel related to the business (directors, board members, etc.) that indicate poor financial health and/or potential to commit fraudulent activity? Sector Health is the business in a high risk sector (leisure, retail, hospitality, etc.?) "The British economy has been forecast to be potentially facing the biggest recession in over 300 years” HOLISTIC VIEW Following the identification of the risk factors, the aggregation and analysis of various proprietary, public and third party data sources can create a much more holistic view of risk associated with each business that has used any of the loan schemes. Ultimately this will provide lenders with actionable intelligence to enable them to finesse their collection strategies and prioritise efforts for recovery much more effectively. This will save significant time and resource in targeting collections and recovery investigations where they are most appropriate. Synectics recommend an approach that encompasses a range of intelligence sources to achieve this kind of process such as: Fraud consortium data (National SIRA & CIFAS) assessing the fraud risk associated with both the business and key personnel, whilst identifying potential businesses that may have applied for multiple loans. Public sector data (National Fraud Initiative) amalgamating publicly available information about businesses (Food Standards Agency, Charities Commission etc.) with public sector fraud data held within the National Fraud Initiative to identify material discrepancies. Real-time available commercial intelligence intelligence regarding the historical, current and future trading status of businesses, including geodemographics, vacancy rates, openings and closures activity, company structure, etc. Credit & affordability checks financial indicators for both businesses and key personnel to ensure businesses are beginning to recover, including financial information regarding payment holidays, furlough and unemployment indicators. PRIORITISATION Once this aggregated view of commercial risk is built we would recommend creating a regularly updated matrix that could then provide a much more intelligently prioritised group of customers for the bank to focus their collections strategy on. This could be achieved by applying a set of business rules to use the intelligence mentioned above to match and rank businesses based on various criteria, reflective of the likelihood of recovery, and subsequent prioritisation of collections activity. Conversely, there should also be a significant focus on identifying businesses which are not likely to resume trading and ultimately default. Further analysis could also provide geographic, business sector, or commercial risk analysis depending upon how the remaining effects of this pandemic affect certain sectors and impact their wider credit & affordability issues. RECOVERY With a strategy, such as the one outlined, a much more targeted and cost effective process can be put in place focused only those businesses that will be in a position to begin repayment (of both CBILS and BBLS loans) in the next 12-18 months. Businesses that are unlikely to survive could ultimately be written off, to avoid wasting valuable resources on loans that won’t be recovered and will have to be underwritten by HM Treasury. There should also be a focus on potential fraudulent applications from businesses taking advantage of the scheme via applying through multiple lenders, or multiple organisations from the same corporate structure applying (e.g. individual pubs in a pub chain). “Businesses that are unlikely to survive could ultimately be written off, to avoid wasting valuable resources on loans that won’t be recovered...” Banks could utilise 3rd party resource on a “pay as you recover” basis to maximise returns in this area, mitigating sunk spend on recovery in this continuing uncertain collections landscape. "Synectics have already processed a large proportion of these loans and are able to easily identify incidences of fraud.” More information, get in touch with us... For more information regarding Synectics’ initiatives for CBILS & BBLS post-award checks, collections & recoveries please get in touch with Synectics Solutions Consultant, Chris Lewis at [email protected] References 1. https://www.icaew.com/coronavirus/uk-practical-business-advice-covid-19/coronavirus-business-interruption-loan-scheme/cbils-and-the-event-of-default 2. https://www.bloomberg.com/news/articles/2020-06-01/johnson-plans-to-relaunch-with-mission-to-rescue-u-k-economy 3. https://uk.reuters.com/article/uk-health-coronavirus-britain-companies/pandemic-could-rip-105-billion-pound-hole-in-small-company-finances-idUKKBN22N2C3 4. https://www.theguardian.com/uk-news/2020/mar/11/budget-2020-rishi-sunak-spending-coronavirus 5. https://www.telegraph.co.uk/business/2020/03/17/markets-live-news-coronavirus-pound-euro-ftse-shares-flights/ 6. https://www.theguardian.com/business/2020/jun/07/36bn-of-government-backed-loans-will-be-toxic-taskforce-warns
The UK boasts a highly efficient and successful water industry, one that leads the way in research, training and accessing new water sources. Providing essential energy, water, sanitation and drainage to all households, businesses and organisations up and down the UK, the social responsibilities of utility providers are paramount. As part of their social obligations, all providers offer social tariffs to ensure domestic customers have access to a discounted service should they be struggling financially. This significant payment reduction is a lifeline for those who genuinely need it, protecting them from entering debt and ensuring continued provision of such essential services. However, these social tariffs can be abused and many customers are mistakenly or fraudulently receiving reduced charges when they are not entitled to them. A PROBLEM FOR PUBLIC SERVICE PROVIDERS To identify the scale of this problem Synectics Solutions worked with a number of the UK’s water companies in 2019 over a period of three months. The water utility providers it worked with covered rural and inner-city areas of the UK. Each of the companies in the pilot were experiencing problems such as: Customers dishonestly obtaining discounted services Failing to declare residency to avoid paying for their service entirely Declining to update their provider when their circumstances changed Without the intelligence in place to flag these potentially fraudulent claims or errors, these companies were exposed to considerable fraud and error and millions in lost revenue. The method that these organisations were deploying previously to address this problem involved using credit reference agency (CRA) data. The annual cost of these procedures for each company was several million pounds annually, and yet the problem continued to be an issue. "One of the reasons this fraud was not being identified through these measures was because a customer’s claim for a discounted service, or a zero-rated account, cannot be accurately verified through credit reference agency matching alone.” “This process in isolation doesn’t provide the data landscape needed to find the explicit qualifying criteria to confirm a genuine claim.” A POWERFUL PARTNERSHIP IN FRAUD PREVENTION To address this problem Synectics worked with the UK Government’s Cabinet Office and took the opportunity to use the National Fraud Initiative (NFI) intelligence database to help these companies understand and identify the scope of fraud or error that they were suffering. The NFI provides an invaluable database of up-to-date insights and offers 19 different data sets against which to match. This vast solution has already helped over 1200 public sector organisations to identify over £1.7 billion in savings from fraud and error. HOW THE NFI AND SYNECTICS SOLUTIONS HELPED DELIVER A TRANSFORMATIVE APPROACH TO FRAUD DETECTION Over three months, Synectics used the NFI data to help analyse those customers who were in receipt of the following tariffs: Back on Track Tariff This scheme offers six discounted bands and is for customers who are experiencing financial difficulties Pension Discount Customers over the age of 65 may be eligible to financial support from their service provider Single Person Discount Customers who live alone and are entitled to a reduced charge Unoccupied Property Properties declared as vacant can carry no usage charge The pilot showed that 45% of the discounted and void customer accounts that were flagged for investigation by using the NFI intelligence were fraudulent. For those companies in the pilot this represented £3 million worth of fraudulent or incorrectly awarded discount claims. Along with customers unlawfully obtaining discounted tariffs, undisclosed residency also posed a significant problem for the water companies. In fact the pilot discovered that over 74% of the void accounts referred for investigation from just one company were fraudulent. The NFI intelligence, and expert data analysis provided by Synectics, highlighted that significant numbers of customers had failed to notify their water provider of a change in circumstances or provided them with false information to retain or gain their discounted service. The significant amount of fraud found confirmed that standard CRA checks, without the added layer of intelligence offered by the NFI data, could not sufficiently detect this fraudulent activity – exposing providers to potentially millions in lost revenue. ADDITIONAL BENEFITS OF THE PILOT In addition to the enormous opportunity to reduce fraud and error other opportunities also became available as part of the pilot for those companies to: Improve their customer on-boarding processes Greater staff efficiency Better customer satisfaction levels This pilot was firm evidence that utility companies need to transform their ability to address these issues by harnessing better intelligence sources to compile a much more accurate data footprint of their customers’ household composition and circumstances. 45% in the amount of fraud detected when using NFI data The ability to take advantage of the wide variety of intelligence provided by the NFI data could help all utility companies to implement a much more sophisticated and cost effective method to reduce their fraud and error cases. £3million saved in fraudulent claims for discount tariffs Synectics’ ability to build analysis and investigation software, its trusted infrastructure and the strategic relationships built with multiple intelligence providers, such the NFI, can help the utilities sector to reduce its exposure to fraudulent activity – and also help support their social responsibilities by clearly identifying customers who are genuinely entitled to a discounted tariff.
Project Endeavour is a ground-breaking pilot project to develop an electronic digital identity and risk assessment on-boarding solution for the financial services sector. Established by two leading UK based technology companies – Synectics Solutions and Yoti, who specialise in delivering digital identity and financial crime risk management solutions, Project Endeavour will enable financial services organisations to significantly reduce the time it takes to digitally verify a customers’ identity and perform real-time due-diligence checks as part of a comprehensive eKYC risk assessment. This podcast is hosted by Vesna McCreery – an expert in financial crime and risk with over 20 years’ experience of working with global banks and financial service providers. Vesna talks to Chris Lewis, Solutions Consultant at Synectics Solutions and Gareth Narinesingh, Commercial Director at Yoti about Project Endeavour and their aims and ambitions for the pilot. SPEAKERS Host Vesna McCreery Ansev Solutions Following a career of over twenty years in financial crime, Vesna founded Ansev Solutions. Ansev serves financial institutions of all sizes in all aspects of financial crime with a strong leaning towards the use of automation and regulatory technology. Ansev draws on Vesna’s extensive experience of practical implementation of laws and regulation, and on the expertise of the well selected partners especially in the reg-tech space. Speaker Gareth Narinesingh Yoti Gareth is Yoti’s Commercial Director for financial services. He delivers Yoti’s digital identity solutions within electronic KYC to combine a strong customer acquisition tool, great user experience and enhanced regulatory compliance. Before Yoti, Gareth spent 11 years working in various banking roles before serving as an FCA lead supervisor and then regulatory consulting at Deloitte. Speaker Chris Lewis Synectics Solutions Chris Lewis is a Solutions Consultant at Synectics Solutions. He is responsible for helping Synectics clients’ to identify, design and deliver innovative technology solutions to successfully address their business challenges. He works primarily in Financial Services, and stresses the importance of close collaboration between Business, Regulators, Consumers and Government in the fight against financial crime, fraud, error and misrepresentation. During this podcast you will learn about: Synectics Solutions and Yoti, and how they have collectively crafted over 30 years’ experience in delivering market-leading digital identity and financial crime risk management solutions How the application of technology to perform digital ID&V and CDD is being driven by changing regulations – and how this digital transformation can ease the on-boarding journey for both providers and customers How Project Endeavour will enable financial services providers to carry out real-time, digital ID&V, fraud and AML checks at the application inception stage How Project Endeavour will allow financial services providers to significantly reduce risk by utilising aggregated, market-leading data sources as part of their on-boarding process, to give a much broader picture of their customers. To listen to the podcast simply enter your details below. If you are a financial services provider and would like more information about Project Endeavour, or would like to take part in the pilot please email: [email protected] or [email protected]
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