July 2022
In today’s increasingly digital marketplace, one of the toughest challenges organizations face is providing a seamless and consistent user experience to customers across all touchpoints, while minimizing risk and preventing fraud. Fourthline offers an AI-driven onboarding solution that automates the identity verification process and increases onboarding productivity while providing a robust scalable platform that is fully compliant and enhances fraud protection.
Fourthline digitally verifies users’ real identities using a mix of automated AI-driven checks and human experts, streamlining the onboarding of customers. Fourthline provides a fully modular and scalable end-to-end know-your-customer (KYC) solution, which includes all steps required for a locally anti-money laundering (AML)/General Data Protection Regulation (GDPR) compliant onboarding (i.e., identification and verification [ID&V] with optional near field communication [NFC], liveness checks, device data and geolocation analysis, and AML screening including investigations, risk scoring, CDD reporting, and an audit trail). The solution is backed by a propriety technology stack and a team of AML and fraud experts that provide their regulated clients industry-leading fraud prevention, compliance, and data security. This means a business can trust the identities of its customers and create a fast, seamless onboarding experience.
Fourthline commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Fourthline.1 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Fourthline on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four representatives with experience using Fourthline’s KYC solution. For the purposes of this study, Forrester aggregated the interviewees’ experiences and combined the results into a single composite organization.
Prior to using Fourthline, the interviewees noted their organizations either verified applicants’ identities manually, which usually required applicants to appear in person or via time-consuming video calls or used other digital solutions. Those that used electronic solutions found that their suppliers were unable to deliver on their service-level agreements (SLAs) and expected conversion levels, which led to delays in approval times and lost prospects who were not willing to wait long periods for onboarding.
Those using manual verification lost business to competitors that made the account-opening process easier. The need to incorporate new identity documents and local regulations into the verification process also impacted the interviewees’ organizations’ abilities to grow their businesses into new markets.
After investing in Fourthline, the interviewees’ organizations offered applicants faster and smoother online account-opening experiences while collecting the information they needed to meet local regulations and maintain their own security standards. Key results from the investment included increased revenues due to lower abandonment rates during the application process, lower risk of fraudulent account openings, and improved productivity for onboarding teams.
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
Onboarding new customers is a time- and labor-intensive process. Although there are many steps in most organizations’ onboarding routines, automating the entire KYC process speeds up the entire process. As a result, onboarding staff process more applications and bring on more customers than they could before. This provides a financial benefit for the composite organization, as it can add more customers without having to increase the size or overtime hours of its onboarding team.
Before Fourthline, potential customers abandoned the account-opening or registration process because they were frustrated due to the long wait times for verifications. Wait times were also significantly longer especially if additional checks were needed. As a result, frustrated prospects would abandon the process and go to a competitor or just give up.
After implementing Fourthline’s use of AI-driven identity verification and robust fraud detection system, the composite organization’s process of onboarding becomes faster and more seamless, providing a better user experience for customers.
This ultimately leads to higher conversion rates and significant revenue improvements.
For the composite organization, investing in Fourthline provides additional security. Its previous processes relied on a wide mix of digital and manual checks and the protection was only as strong as employees’ skills at detecting fraudulent papers or spotting differences between the photos and the presenters of the identification (ID). The Fourthline solution employs extensive screening against watchlists (e.g., PEPs, sanctions and adverse media screenings); automated, AI-driven validation of identity; and checks for device and whereabouts data. All of it is done entirely through the solution. Additionally, the Fourthline solution includes QA on 5% of all cases for all partners and a dedicated team of fraud specialists who are entirely focused on continuously optimizing fraud prevention, developing training, and performing post onboarding checks. The composite organization significantly improves its ability to screen out fraudulent applications that may otherwise have caused financial and reputational damage.
Unquantified benefits. Benefits that are not quantified in this study include:
Because Fourthline’s AI learns to recognize documents from all around the world and the software already recognizes identity cards, passports, driver’s licenses, and other forms of ID from different countries, the interviewed executives said their organizations moved into new markets (at least in terms of enrolling new members or clients) without having to buy, upload, and debug new software each time or training personnel to recognize and verify each new type of ID document. Combined with Fourthline’s expertise in the local regulations, this made entering new markets easier and faster than before.
Fourthline’s extensive knowledge of local regulations and compliance requirements enabled the interviewees’ organizations to fully comply with local regulations. From surprise compliance audits to annual filings to everyday cooperation with local authorities, Fourthline allowed the interviewees’ organizations to access and compile specific information quickly to facilitate the necessary cooperation without interfering in the organizations’ everyday work. Fourthline also has large teams working in anti-financial crime (AFC), compliance, and law to support clients in the fragmented and complex regulatory landscape on an ongoing basis.
As the volume of new customers onboarded grew, the interviewees’ organizations need to scale up their KYC operations to meet demand. As one head of KYC and operations in fintech pointed out, Fourthline have a track record of scaling up operationally in a relatively short time frame to meet spikes in their demand without missing any SLAs. Even when they went 10 times over the budgeted onboarding volume during a particular promotional event, Fourthline flexed up capacity on their end to meet the demand.
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
The composite organization pays for Fourthline’s platform based on the volume of identity checks it performs each month. Those fees are approximately $1.9 million to $2.5 million annually. The fees increase along with the growth of the business and its customer acquisition rate.
API integration only requires a minimal amount of developer time. For the composite organization, this costs $3,944 up front. Over a three-year period, the total implementation effort and training cost is around $5,650 for the composite.
The representative interviews and financial analysis found that a composite organization experiences benefits of $26.43M over three years versus costs of $5.40M, adding up to a net present value (NPV) of $21.03M and an ROI of 390%.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Fourthline can have on an organization.
Interviewed Fourthline stakeholders and Forrester analysts to gather data relative to the KYC solution.
Interviewed four representatives at organizations using Fourthline to obtain data with respect to costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewees’ organizations.
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Readers should be aware of the following:
This study is commissioned by Fourthline and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Fourthline’s KYC solution.
Fourthline reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
Fourthline provided the customer names for the interviews but did not participate in the interviews.
Role | Industry | Region | Annual Revenue |
---|---|---|---|
Director of product management and operations | Fintech | EMEA | $160 million |
COO and head of KYC and AML | Fintech | EMEA | $114 million |
Head of compliance and AML | Fintech | EMEA | $459 million |
Head of business and KYC operations | Fintech | EMEA | $143 million |
Most of the interviewees noted their organizations either started their operations with Fourthline or were using a mix of external vendors and internal solutions. They relied heavily on human expertise and in-person interactions for identity verification. In addition to the risk of human error, this approach also contributed to poor customer experience owing to significant processing times and dropped connections.
The interviewees noted how their organizations struggled with common challenges, including:
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the four interviewees, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
The composite organization is a global, digital-native financial institution with $150 million in annual revenue. It has been in business for less than five years, and it has 1.5 million customers. Due to growing interest in digital and mobile banking among millennials and other developments in the wake of the COVID-19 pandemic, it experiences double-digit growth (around 15% year-over-year [YOY] growth in new accounts) with rapid expansion into new regions and markets, and decision-makers expect this growth to continue for at least several years.
Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|
Atr | Improved operational efficiency | $4,673,077 | $5,374,038 | $6,180,144 | $16,227,260 | $13,332,840 |
Btr | Improved conversions | $3,645,000 | $4,191,750 | $4,820,513 | $12,657,263 | $10,399,615 |
Ctr | Reduced exposure to fraud | $945,000 | $1,086,750 | $1,249,763 | $3,281,513 | $2,696,196 |
Total benefits (risk-adjusted) | $9,263,077 | $10,652,538 | $12,250,419 | $32,166,035 | $26,428,651 |
Interviewed executives said that Fourthline helped significantly reduce the processing times for each case, thereby improving operational efficiency and leading to significant savings for their organizations.
With onboarding teams freed of the time-consuming task of verifying identities and ensuring applicants were who they say they were and legally entitled to do business with the organization, the onboarding staff processed significantly more applications and created more accounts each day. Thus, each employee on the team created more revenue, and the organizations could handle more growth without expanding the size of the onboarding team.
Forrester assumes the following about the composite organization:
Factors that could potentially impact the value of this benefit include:
To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total of $13.3 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
A1 | New accounts opened per year | Composite | 600,000 | 690,000 | 793,500 | ||
A2 | Reduction in processing time (minutes per account) | Interviews | 15 | 15 | 15 | ||
A3 | Reduced onboarding effort (FTE) | A1*A2/(47 weeks*5 days per week*8 hours per day) | 72 | 83 | 95 | ||
A4 | Onboarding analyst fully burdened annual salary* | Assumption | $81,000 | $81,000 | $81,000 | ||
At | Improved operational efficiency | A3*A4 | $5,841,346 | $6,717,548 | $7,725,180 | ||
Risk adjustment | ↓20% | ||||||
Atr | Improved operational efficiency (risk-adjusted) | $4,673,077 | $5,374,038 | $6,180,144 | |||
Three-year total: $16,227,260 | Three-year present value: $13,332,840 | ||||||
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*Note: Benefits modifier includes training, recruiting, idle time, capacity buffer, office and equipment, etc.
Interviewees said they improved the speed and accuracy of verification for most applicants, and this was true even for organizations that already used digital tools or in-house solutions. They also said these improvements in convenience and speed were important to their customers, leading to lower abandonment rates and improved conversions.
Forrester assumes the following about the composite organization:
Factors that could potentially impact the value of this benefit include:
To account for these risks, Forrester adjusted this benefit downward by 25%, yielding a three-year, risk-adjusted total PV of $10.4 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
B1 | Volume of new onboarding cases | Composite | 600,000 | 690,000 | 793,500 | ||
B2 | Increase in conversion rate | Interviews | 30% | 30% | 30% | ||
B3 | Additional converted customers | B1*B2 | 180,000 | 207,000 | 238,050 | ||
B4 | Value of additional conversions | Composite | $18,000,000 | $20,700,000 | $23,805,000 | ||
B5 | Attribution to Fourthline | Assumption | 90% | 90% | 90% | ||
B6 | Industry average net margin | Assumption | 30% | 30% | 30% | ||
Bt | Improved conversions | B4*B5*B6 | $4,860,000 | $5,589,000 | $6,427,350 | ||
Risk adjustment | ↓25% | ||||||
Btr | Improved conversions (risk-adjusted) | $3,645,000 | $4,191,750 | $4,820,513 | |||
Three-year total: $12,657,263 | Three-year present value: $10,399,615 | ||||||
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Interviewed executives said using the Fourthline solution lowered their organizations’ risk of exposure to fraudulent accounts.
Forrester assumes the following about the composite organization:
By nature, fraud losses are unpredictable, so the risk applied to this benefit is higher than those used for other benefits. Factors that could potentially impact the value of this benefit include:
To account for these risks, Forrester adjusted this benefit downward by 30%, yielding a three-year, risk-adjusted total PV of $2.6 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
C1 | Accounts opened per year | Composite | 600,000 | 690,000 | 793,500 | ||
C2 | Fraudulent online applications undetected before Fourthline | Assumption | 0.5% | 0.5% | 0.5% | ||
C3 | Average loss per fraudulent account | Assumption | $900 | $900 | $900 | ||
C4 | Fraud loss before Fourthline | C1*C2*C3 | $2,700,000 | $3,105,000 | $3,570,750 | ||
C5 | Incremental fraudulent accounts screened out | Interviews | 50% | 50% | 50% | ||
Ct | Reduced exposure to fraud | C4*C5 | $1,350,000 | $1,552,500 | $1,785,375 | ||
Risk adjustment | ↓30% | ||||||
Ctr | Reduced exposure to fraud (risk-adjusted) | $945,000 | $1,086,750 | $1,249,763 | |||
Three-year total: $3,281,513 | Three-year present value: $2,696,196 | ||||||
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Additional benefits that customers experienced but were not able to quantify include:
One of the key benefits all interviewed executives highlighted was how well Fourthline facilitated their organizations to enter new regions/markets much faster than they would otherwise be able to. Most of them experienced at least a 50% improvement in their time-to-market. This was attributed to Fourthline being a regulated entity in all markets where the organizations operate; Fourthline’s extensive knowledge of the local markets and regulations; and the fact that Fourthline software already recognized identity cards, passports, driver’s licenses, and other forms of ID used in countries around the world which makes it easier and faster to integrate with our onboarding process.
As all the interviewees’ organizations were in the banking industry, they are all heavily regulated and required to be fully compliant at all times. A head of compliance and AML at a fintech bank said: “Complexity of regulations is only increasing and we must be completely compliant at all times. Failure [to comply] is not an option. Being a regulated entity themselves, Fourthline realize this and they have been very good so far.”
Fourthline provided easy visibility into data about the ID verification process, and it made it easier and faster to comply with requests from regulatory authorities. One head of business and KYC operations said, “[Fourthline] are good at keeping us informed about the changes and whatever new regulations are coming in for each country, which helps us respond to these changes much faster.”
Although most of the interviewees’ organizations had a fairly stable load (i.e., volume of new onboarding customers) through the year, there would be the occasional spike in new users coming through the onboarding process. This could be due to a variety of reasons like ongoing promotions or other incentives for account opening. This would involve organizations having to supplement their onboarding teams with extra staff or paying significant amounts of money to augment existing capacity at the risk of losing additional customer revenue. The interviewees pointed out that Fourthline were great at scaling up capacity based on demand.
One director of product management and operations at a fintech said: “Our inflow [of new customers] is fairly stable, but only a couple of times through the year we have, let's say, spikes. In those cases, Fourthline has always been able to accommodate for those spikes operationally with very minimal delays that are maybe even not noticeable to the end customer and always within the agreed SLAs.”
Ref. | Costs | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|---|
Dtr | Fourthline annual subscription fees | $0 | $1,890,000 | $2,173,500 | $2,500,050 | $6,563,550 | $5,392,787 |
Etr | Implementation And Training Costs | $3,944 | $686 | $686 | $686 | $6,003 | $5,650 |
Total costs (risk-adjusted) | $3,944 | $1,890,686 | $2,174,186 | $2,500,736 | $6,569,553 | $5,398,437 |
Interviewees told Forrester that Fourthline’s fees were based on the number of identity checks the organizations perform. The price-per-verification check primarily depended on product configuration and the volume of checks processed each year.
Forrester assumes the following about the composite organization:
Factors that could potentially impact the fees paid to Fourthline include:
To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV $5.4 million
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
D1 | Cost per verification | Composite | $3 | $3 | $3 | ||
D2 | Number of verifications (annual) | Composite | 600,000 | 690,000 | 793,500 | ||
Dt | Fourthline annual subscription fees | D1*D2 | $0 | $1,800,000 | $2,070,000 | $2,381,000 | |
Risk adjustment | ↑5% | ||||||
Dtr | Fourthline annual subscription fees (risk-adjusted) | $0 | $1,890,000 | $2,173,500 | $2,500,050 | ||
Three-year total: $6,563,550 | Three-year present value: $5,392,787 | ||||||
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Each of the interviewed executives said Fourthline requires very little effort from developers, IT support staff, or system administrators. Because the product runs within each organization’s own app, the training required for the onboarding team is not significant. Internal costs were limited to a relatively straightforward API integration or installation of Fourthline’s out-of-the-box software development kits (SDKs).
Forrester assumes the following about the composite organization:
The risks of fluctuation in this cost are relatively low. Factors that could potentially impact the fees paid to Fourthline include
To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV of $5,650.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
E1 | Implementation cost | Interviews | $0 | ||||
E2 | Internal implementation effort (hours) | Interviews | 58 | ||||
E3 | Average project team fully burdened hourly salary | Assumption | $81 | ||||
E4 | Onboarding service agents trained | Composite | 5 | 2 | 2 | 2 | |
E5 | Onboarding service agents fully burdened hourly salary | Assumption | 39 | 39 | 39 | 39 | |
E6 | Training hours per agent | Composite | 8 | 8 | 8 | 8 | |
Et | Implementation And Training Costs | (E2*E3)+(E4*E5*E6) | $3,585 | $624 | $624 | $624 | |
Risk adjustment | ↑10% | ||||||
Etr | Implementation And Training Costs (risk-adjusted) | $3,944 | $686 | $686 | $686 | ||
Three-year total: $6,003 | Three-year present value: $5,650 | ||||||
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These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
---|---|---|---|---|---|---|
Total costs | ($3,944) | ($1,890,686) | ($2,174,186) | ($2,500,736) | ($6,569,553) | ($5,398,437) |
Total benefits | $0 | $9,263,077 | $10,652,538 | $12,250,419 | $32,166,035 | $26,428,651 |
Net benefits | ($3,944) | $7,372,391 | $8,478,352 | $9,749,683 | $25,596,482 | $21,030,214 |
ROI | 390% | |||||
Payback period (months) | <6 | |||||
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The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
Benefits represent the value delivered to the business by the product. The TEI methodology places equal weight on the measure of benefits and the measure of costs, allowing for a full examination of the effect of the technology on the entire organization.
Costs consider all expenses necessary to deliver the proposed value, or benefits, of the product. The cost category within TEI captures incremental costs over the existing environment for ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. Having the ability to capture that benefit has a PV that can be estimated.
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
1 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.