What is Biometric ID Verification and How Does it Work?

Let’s put it out there right from the start – your Customer Lifecycle Management (CLM) journey has become increasingly complex, expensive, and difficult to navigate.

You’re not alone. After all, we live and work in a time of never-ending change.

The challenges facing financial institutions (FIs) continue to multiply and evolve – shifting economic and geopolitical conditions, growing regulation and operational complexity, intense competition, fast-paced technological advancement, escalating financial crime and fraud risks, credit risks, a volatile talent market. And of course, a profound shift in customer expectations and a fundamental reshaping of how financial institutions must interact with their customers across every stage of the lifecycle.

In the face of all these challenges, FIs must be on the lookout for emerging opportunities to grow and retain a profitable customer base. Opportunities that go beyond traditional technology integrations and instead deliver a truly unified CLM approach that empowers them to be more adaptive, responsive, and agile to the pace of change.

The status quo is unsustainable. It's costing banks an average of $20,000-$30,000 to onboard new commercial customers, and a further $25,000 can be lost due to delays in acquiring new them.  Meanwhile FI’s are shouldering a global financial crime compliance cost of $206.1bn, plus a staggering £38.4 billion regulatory compliance price tag.

It’s time to embed intelligence everywhere and usher in a new era of Client Lifecycle Management.

Is there a better way to serve clients throughout the lifecycle?

Before we get to that, let’s first understand what we mean by CLM and why it’s so important for financial institutions.

Client Lifecycle Management, or CLM, refers to how FIs manage the end-to-end client relationship, from acquisition and initial onboarding to ongoing interactions and due diligence monitoring. At each stage, ensuring clients receive a compliant, smooth and personalised experience.  CLM is important because, when done well, it enables FIs to attract more of the right clients, improve retention, build trust and loyalty, mitigate risks and ultimately enhance both profitability and regulatory compliance.

So why is a new approach needed?

We’ve mentioned the diverse range of emerging challenges facing FIs. But then add to that the compounding impact of outdated technology, disparate processes, risks of human error, siloed data, lack of a single client view, and an inability to create more value and operationalise the huge amounts of data FIs have access to.

No wonder CLM journeys are increasingly complex, expensive and difficult to navigate.

What does the future of CLM look like?

The future is a recalibrated CLM strategy that moves financial institutions from manual and inefficient processes to a data-driven, AI-powered and automated approach. One that addresses all their key challenges, unlocks significant value, improves operational efficacy, and frees up human capital for strategic decision making.

Marc Benioff famously said, “data is the new gold”. For FIs, nowhere is that statement more relevant right now than in the transformation of their CLM strategy.

Think the leveraging of deep data resources and advanced AI for transformative insights that enable smarter, faster decision making, enhanced regulatory compliance, proactive continuous risk management, and the delivery of highly-personalised experiences. Whilst at the same time bringing down the cost to acquire and serve, eliminating duplication of effort and manual processes, and improving agility and competitiveness in an ever-changing regulatory landscape.

Navigate cost and complexity - the benefits of intelligence everywhere CLM at every stage of the customer journey

• Acquire: Identify, visualise, and target the entire customer universe through advanced market intelligence, automated customer insights, and the delivery of highly-relevant engagement signals. Augment CRM environments with real-time data orchestration to improve prospecting and enhance sales and marketing interactions.
• Onboard: Orchestrate workflows, automate customer validation activities, execute KYC, KYB, and AML screening, and verify client identity all in one place. Perfectly balance customer experience and regulatory compliance, to reduce attrition, bringing down cost and time to acquire, eliminate the risk of errors, and meet demanding expectations.
• Originate: A streamlined application process that improves both efficiency and customer experience. Automate product applications, credit decisioning and underwriting, structure deals and documentation, and manage approvals and closing – streamline processes and reduce time to service and funding.
• Monitor: Leverage automation, real-time insights, and rules-based decisioning to proactively monitor and manage risk, improve experiences, and achieve continuous compliance. Seamlessly maintain real time 360-degree record of every customer, track portfolio and UBO changes, monitor AML compliance, stay ahead of sanctions screening, assess credit continuously, and maintain a complete audit trail.
• Retain: Enhance personalised support, proactive communication, and understanding the evolving needs of customers. Pivot quickly, aligning service delivery and interactions to changing requirements and market dynamics. Move from reactive to proactive account management, unlocking new opportunities to add value while reducing risk.
• Grow: Track customer progress, deepen relationships, expand the product footprint via relevant upsell and cross-sell, predict future needs, and enable next-level personalised experiences that foster trust and lasting loyalty.

The critical importance of reinventing onboarding

Nowhere is an intelligence everywhere approach to CLM more impactful than at onboarding stage.

With traditional banks facing off against their digitally-enabled challengers, improving the customer onboarding experience is key to sustainable, profitable growth.

Recent research uncovered that 38% of all new banking customers abandon the onboarding process if it takes too long. This is backed by our own research.

In our 2025 State of IDV report, we revealed the rate of abandoned sign-ups is potentially 2.9x greater than FIs estimate. The most common reason for this appears to be a total focus on regulatory compliance at the expense of customer experience; an imbalance could that be costing them dearly.

An intelligence everywhere approach creates a “wow factor” first impression - setting the tone, building trust, and defining the experience customers can expect to receive throughout the life of their customer relationship.

Wave goodbye to manual and cumbersome onboarding by automating the entire corporate onboarding process. Intelligence everywhere means FIs can meet regulatory compliance obligations whilst maintaining complete oversight and control over the experience the customer receives.

Welcome to a unified, data and AI-powered CLM platform that significantly accelerates the customer screening and verification process. Advanced data orchestration incorporating KYC, KYB, PEPs, sanctions, adverse media, email risk checks and identity verification allows FIs to manage all onboarding checks in one place - seamlessly guiding customers through onboarding in the most frictionless way possible. This reduces manual efforts and allows FIs to onboard more customers in less time, without compromising on either compliance or customer experience.

Proof of concepts already exists

Santander has seen a 75% decrease in onboarding effort by moving to a fully-digital journey, with time to onboard reduced from 14 to 5 days thanks to pre-population of customer data.

Metro Bank have automated business account opening to achieve an average opening time of just 15 minutes. They now onboard 11,200 new customers per year with 80% of applications going straight-through. On top of this, they were able to identify 14% more critical risk issues than their previous manual process, and were able to reduce average case time from 200 minutes to 8 minutes – a 94% improvement.

After automating much of their onboarding processes, Tide achieved a 72% increase in the number of SME applications processed in a 12 month period. Powered by advanced data orchestration, Tide can easily qualify applications and assign the right products based on the specific needs of SME customers, whilst limiting lengthy applications processes and delivering a personalised experience. In fact, application forms are now populated in under 2 minutes. This has contributed to a 90% increase in revenue.

ThinCats likewise adopted an intelligence everywhere approach to transform traditionally lengthy access to funding processes. As a result, they have achieved a 60% reduction in data entry and manual input time, and 166 minutes of total time savings per lending journey.

Are you ready for a new era of intelligence everywhere CLM?

CLM is a battleground for financial institutions in 2025.

The ultimate winners will be those that grasp the opportunity to redefine the path, and in doing so create better customer experiences at scale without compromising on compliance.

As a recent McKinsey report highlighted. “You’ve got to really be thoughtful about how and where to spend to get the most bang for the buck, particularly as it relates to tech.”

FI’s are being buffeted by a broad range of challenges, many of which are moving at pace and forcing them to evolve quickly. Those that invest in intelligence everywhere will reduce the cost and complexity of customer lifecycle management, thereby simultaneously boosting profitability, customer experience, and compliance.

Discover how nCino and FullCircl are powering a new era in financial services, reimagining client lifecycle management.

In February, the Competition and Markets Authority (CMA) published its latest banking survey results.  

The survey demonstrates how customers rate the quality of services provided by their bank, with the aim of promoting competitiveness, transparency, and continuous improvement across the sector.  

The February 2025 CMA banking survey results

Chase UK topped the latest survey closely followed by Starling and Monzo. Repeating a trend witnessed over the last three years, digital banks continue to dominate thanks to their superior performance in terms of overall customer service attributed to their use of technology.  

Neobanks/digital banks in general have done well in terms of overall customer satisfaction, despite accounting for just 6% of UK primary banking relationships. However, major high street banks have not achieved top five spots in this survey with Co-operative Bank, Virgin Money and the Royal Bank of Scotland ranked the worst in the table.  

So, how can banks improve their scores?

Leveraging Technology to Improve CMA Rankings

As the industry evolves throughout 2025 and beyond, banks must position themselves as customer first, streamlined, and intelligent if they are to improve their rankings and outperform their peers.  

They must harness data to enhance customer experiences and implement advances in technology to streamline workflows and drive operational efficiency. As well as embrace modern solutions to transform, personalise, and enhance every stage of the customer lifecycle – from acquisition to onboarding, and retention.

In doing so they will stay competitive, drive continuous improvement, meet the rising demands of customers, and most importantly boost growth, both for themselves and the wider UK economy.

Boost your banks ranking ahead of the August 2025 CMA survey.

FullCircl’s latest whitepaper examines both proven opportunities as well as trending strategies banks can harness to improve their ranking and outperform in future CMA surveys.  

From digital banking platforms and Customer Relationship Management (CRM) data integrations, to AI, Machine Learning, Natural Language Processing and data analytics. Market beating approaches to Customer Due Diligence (CDD) and regulatory compliance, to the latest advances in Digital Identity Verification (IDV), explore

how to boost your ranking ahead of the August 2025 survey.

Download your free copy of this guide now and access key competition enhancing strategies including how to:

• Combine human and digital for improved customer experiences
• Improve financial literacy and access to products/services
• Integrate Customer Lifecycle Management (CLM) for improved journeys
• Implement ESG considerations into decision making
• Drive improved onboarding efficiency

Introduction to Adverse Media Screening

In the ever-evolving regulatory landscape, financial institutions and businesses must implement stringent measures to mitigate risks associated with illicit activity. One essential component of this process is adverse media screening as part of a wider AML program. This practice involves monitoring news sources, social media, and other publicly available information to identify negative information about individuals or entities that may indicate involvement in criminal activity.

Adverse media screening plays a crucial role in Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance frameworks. By proactively identifying high-risk individuals and organisations, businesses can strengthen their risk assessment capabilities and prevent potential financial or reputational damage.

Why Adverse Media Screening Is Important

Regulatory bodies such as the Financial Action Task Force (FATF), as well as localised regulators, expect companies to conduct Customer Cue Diligence (CDD) processes to mitigate financial crime risks. Adverse media screening strategies help institutions identify threats linked to Politically Exposed Persons (PEPs) and sanctions, fraudsters, and entities involved in human trafficking, money laundering, and other predicate offenses.

Without a comprehensive adverse media check, organisations risk unknowingly facilitating suspicious activity or engaging with compromised entities. Effective screening ensures compliance with AML regulations, protects brand reputation, and strengthens risk-based approaches to customer due diligence.

Challenges With Adverse Media Screening

Despite its significance, adverse media screening comes with challenges, including:

• Volume of Data: Millions of articles, blog posts, and social media updates appear daily, making it difficult to filter out relevant negative news screening information.
• False Positives: Overly broad searches can flag irrelevant results, wasting time and resources.
• Language Barriers: Global searches require multi-language coverage to detect risks across jurisdictions.
• Timeliness: Delays in identifying risk-relevant data can expose businesses to financial crime threats.
• Verification: Ensuring the credibility of adverse media searches is critical to avoiding reputational damage from unreliable sources.

Steps to Conducting an Adverse Media Screening

To ensure effective adverse media screening, businesses should follow a structured approach:

Define Screening Criteria

Develop clear criteria for screening based on industry regulations, risk profiles, and compliance requirements. This includes determining key triggers such as involvement in fraud, terrorism financing, or corruption.

Conduct Comprehensive Searches

Use multiple news sources, including mainstream media, government databases, and social media platforms, to gather information about a subject. Searching for adverse media across various platforms ensures a well-rounded risk analysis.

Verify and Analyse Results

Not all flagged negative information is relevant. Companies should validate results by cross-checking sources, assessing credibility, and confirming context before taking action.

Report and Document Findings

All findings should be documented in compliance reports, with risk ratings assigned based on severity and likelihood of involvement in illicit activity.

Best Practices for Adverse Media Screening

To enhance adverse media screening efforts, organisations should adopt these best practices:

Leveraging AI and Automation

Using automated adverse media screening software significantly improves efficiency by filtering real-time data, reducing manual effort, and minimising false positives. AI-driven solutions can also provide continuous monitoring for updated risk insights.

Applying a Risk-Based Approach

Not all negative news carries the same weight. A risk-based approach prioritises high-risk entities while ensuring low-risk individuals are not excessively scrutinised.

Ongoing Monitoring and Re-Screening

A one-time check is insufficient. Organisations should establish continuous monitoring frameworks to detect emerging risks over time.

Integrating Human Expertise

While automation is essential, human oversight remains crucial. Analysts must review flagged adverse media cases to assess nuances and prevent misinterpretations.

Ensuring Global and Multi-Language Coverage

To mitigate cross-border risks, screening should encompass global media coverage in multiple languages, considering regional differences in reporting and regulatory requirements.

Expanding Coverage to Non-Traditional Media

Beyond traditional news sources, organisations should monitor blogs, online forums, and other alternative media to detect early warnings of illicit activity that may not be covered by mainstream outlets.

Training and Awareness for Compliance Teams

Adverse media screening is most effective when compliance teams are well-trained in recognising key risk indicators. Regular training ensures teams stay updated on emerging threats and regulatory expectations.

Benefits of Adverse Media Screening Best Practices

Implementing these best practices offers numerous advantages:

• Faster Onboarding: Automating screening reduces delays in customer verification.
• Reduced Compliance Workload: AI and automation decrease manual review time, allowing compliance teams to focus on high-priority cases.
• Enhanced Risk Management: Proactive screening prevents financial crimes before they impact the organisation.
• Regulatory Compliance: Adhering to best practices ensures alignment with AML and KYC regulations.
• Better Decision-Making: A comprehensive screening process leads to more informed decisions regarding partnerships, clients, and third parties.
• Improved Fraud Prevention: Early identification of suspicious activity minimises potential financial losses due to fraud and other financial crimes.

Using Automated Adverse Media Screening Software

Manual screening methods are no longer sufficient given the vast amount of online information. Adverse media screening AML solutions powered by AI provide real-time, accurate, and scalable results. These tools integrate seamlessly into existing compliance infrastructures, offering continuous monitoring of risk profiles and reducing false positives.

When selecting a screening solution, businesses should consider:

• Data Coverage: Ensure the tool covers global media coverage and multi-language sources.
• Customisable Risk Filters: The ability to tailor searches to business-specific risks.
• Integration with Existing Systems: Seamless compatibility with KYC and AML frameworks.
• Ongoing Updates: The tool should offer regular updates to capture the latest threats and regulatory changes.

Adverse media screening with FullCircl

FullCircl provides cutting-edge adverse media screening solutions as part of wider AML screening, KYC software, identity verification, and fraud prevention, that enhance due diligence processes, streamline compliance, and safeguard businesses from emerging threats. Contact us today to learn how our technology can help you implement best practices and strengthen your risk management framework.

In January, the W2 by FullCircl team headed to ICE Barcelona 2025, the premier global event for the gaming and betting industry.

Bigger and better than ever, this year’s show was a powerful platform for FullCircl to demonstrate our commitment to providing the industry with best-in-class solutions to onboard players compliantly and efficiently. And demonstrate the transformational impact our market-leading financial vulnerability checks are already having when it comes to helping operators minimise player intrusion, whilst staying firmly in the compliance lane.

It was great to witness the increased focus on safer gambling, and positive shift in the market’s view on responsible player onboarding. It was also enlightening to have so much open dialogue with operators on the future regulatory landscape, and the role of technology in helping operators balance compliance and player experience.

The event was literally buzzing - we loved every minute.  

So to keep the excitement going, here are my top five takeaways from the event.  

1. Player safety does not have to come at the cost of player experience

ICE 2025 demonstrated a positive shift in operator outlook to responsible onboarding, and the embracing of enhanced player safety measures. A key concern amongst operators was how to increase visibility of a player’s financial situation and lifestyle vulnerabilities without being obtrusive or damaging the player experience.

Moving forward, to tackle this challenge operators increasingly recognise the need for a more strategic approach to player vulnerability.  

Leaders are already harnessing the power of data orchestration to combine a range of checks - from CCJs, IVA, bankruptcy, debt and credit data, to income, affordability checks, and vulnerability indicators – and delivering responsible onboarding at pace and scale.

The goal for 2025 is informed, cost efficient, and agile player safety decision-making impacting player experience. Our conversations at ICE certainly point towards operators seizing the opportunities such an approach brings, in terms of competitive advantage and enhanced regulatory compliance.

Bringing me nicely to point two…

2. Operators must continue to navigate a rapidly-changing regulatory global landscape

Much of the conversation was focused on global variance in regulation - and how operators can navigate this. As well as the future regulatory changes on the horizon and how they might impact player experience and operational efficiency.

Striking a balance between industry growth and protection of consumers remains the focus of regulation in the UK. The UK Gambling Commission (UKGC)’s core objectives are to prevent gambling-related crime, ensure fair and open gambling practices, and protect vulnerable individuals from harm; most recently bringing in new regulatory requirements around vulnerability checks. This is in addition to intensified efforts to ensure operators adhere to anti-money laundering and fair gaming rules.

The global regulatory pattern is, however, quite diverse. The US and Canada operate a patchwork of rules and regulations on a state or province-wide basis. EU countries operate under strict regulations to ensure consumer protection and fair play. Whilst emerging markets such as Brazil, Peru and Nigeria are still laying the foundations of their own regulatory frameworks to ensure player protection without damaging market integrity and growth.

For operators however, one thing remains constant – balancing regulatory compliance with player experience. Compliance teams are seeking new opportunities to accomplish this, and a greater spotlight is being shone on the role of technology in striking a workable balance – bringing legislative responsibilities in step with the creation of safe, enjoyable, efficient, and socially-responsible betting experiences.

3. New markets offer exciting new opportunities

Latin America is becoming a hotspot for investment. Countries like Brazil, Peru, and Mexico are seeing significant traction, particularly in sports betting - fuelled by emerging online platforms and government lotteries.  

Speaking of sports betting, the US legalisation of this market continues to grow, with 39 states now operating legal sports betting.

Africa continues to offer an expanding gaming and betting market, whilst the Middle East is an emerging iGaming hub.

These new markets present great opportunities for established and new operators alike - if they can overcome regulatory challenges and embrace the latest advances in technology to deliver differentiated, yet safe, player engagement strategies.

4. The adoption of AI remains a hot topic

Unsurprisingly, AI was a big focus of discussion, both in seminar sessions and on the exhibition floor.

AI is quickly reshaping the industry, providing operators with powerful new capabilities to streamline operations, drive cost efficiencies, enhance player experiences, and boost profitability.

However, it was rightly pointed out that successful implementation relies on strong partnerships between innovators and operators.  For me, perhaps the most exciting aspect is how partnerships with technology vendors can not only improve the player experience but also massively increase operator understanding of players’ wants and needs – vital to driving engagement, growth and of course player safety.

AI-powered data orchestration is fast becoming a game changer for operators – offering opportunities to drive revenue growth, optimise experiences, and enhance compliance at every stage of the player lifecycle – player attraction, onboarding, and retention in a competitive market.

Operators who fail to embrace AI and the vast opportunities of data-driven decision-making risk falling behind in 2025.

5. Digital Identity Verification is reshaping approaches to player onboarding

Fraudsters continue to target the gaming and betting industry, using stolen player identities or creating fake ID documents to create new player accounts. Operators must also contend with KYC, AML and player safety regulations.

Combine these challenges with rising player expectations for instant access to gaming and betting services and it’s no wonder digital identity verification (IDV) is become a game changer in terms of player onboarding.

By leveraging and matching data from a wide range of sources, operator scan verify player age and identity without compromising on experience or over burdening compliance teams.  

The opportunity to access thousands of globally-accepted identity documents and authenticate with biometric-powered verification techniques such as facial recognition, optical character recognition, and liveness technology not only serves to deter fraudsters, but also provides your players with frictionless, faster onboarding journeys that create a positive and engaging first impression.

This is an area of huge investment - one to watch in 2025.

Remain compliant and keep players engaged with FullCircl

W2 by FullCircl is used by some of the biggest gambling operators including Entain, Novibet, and Fitzdares , helping balance revenue generation and regulatory compliance with player protection and the delivery of superior experiences. Get in touch with a member of our team to:

• Explore our cutting-edge tools for seamless customer onboarding and enhanced regulatory compliance
• Stay ahead of regulations and remove player friction with our new financial vulnerability checks
• Understand how you can harness data orchestration to reduce risk and improve efficiency

Recent sentiment shows that SMEs are feeling more optimistic about their prospects in 2025.  

More than eight in ten (81%) UK small businesses are focusing on new initiatives to boost growth in 2025, and 48% are looking to lenders to help fund that expansion.

Other SME’s have alternative motivations for utilising finance this year - whether it be for new equipment, invoice finance, or to help them manage overheads as a result of the rise in employer National Insurance contributions.

Whatever the reason, more SMEs choosing to utilise finance in 2025 presents a huge opportunity for the UK’s financial institutions (FIs). To give you an idea of just how big – it’s predicted that by 2030 SMEs will require finance to the tune of £70 billion+.  

But there’s a caveat. To take advantage of this opportunity with SMEs, and capture a slice of this forecast growth, FIs need to adopt more innovative lending strategies, powered by technology.

The current state of SME lending

SMEs represent over 99% of all businesses in the UK – from trades to tech startups they are the hot bed of innovation and talent fuelling the economy. And yet, despite their vital importance, they have consistently faced challenges when it comes to accessing suitable funding options from big banks and lenders.

Traditionally SMEs have not been viewed as the ideal lending customers. This has led to a SME finance gap estimated to be over £22 billion in the UK alone. 

Several factors impact the ability of banks, neo banks, fintechs and other financial service providers to offer business loans and alternative financing solutions to their SME clients:

• Lack of reliable information – FI’s can struggle to gain accurate data in terms of financial records, statements and accounts
• High risk – SMEs have traditionally been perceived to be higher risk borrowing customers, given their vulnerability to economic and market fluctuations
• Unattractive costs – SMEs borrow smaller amounts but onboarding them takes about the same time and costs the same amount of money as their big loan enterprise peers.‍
• Regulatory constraints – Capital adequacy requirements, KYC/KYB, AML and other financial regulations makes compliance and risk management processes burdensome, and therefore lending to SMEs less attractive‍
• Lack of credit history – SMEs can lack robust credit history making them harder to evaluate
• SMEs themselves can be a roadblock – They may not be fully aware of the finance options available to them and find the process of applying for funding difficult, putting even more pressure on FIs to fill the gaps in terms of risk and compliance

How FI’s must respond to SME lending needs

As we look ahead to 2025 and beyond, SMEs continue to be a driving force in the UK economy.

Gone are the days of one-size fits all approach. SME’s increasingly demand tailored financial products – industry-specific loans, revenue-based financing, solutions designed to drive growth.

They also demand greater levels of personalisation - deeper understanding, contextualised advice and the right support at the right time for the range of challenges and opportunities they face.

The key with responding to the needs of SMEs is balancing advances in tech and data science with a strong desire to retain personal engagements and a trusted advisor-style approach – thereby satisfying both customer and regulatory needs, whilst reducing risk and cost, and driving the efficiency gains necessary to make lending to SMEs a more profitable business.

Data is king here. In fact, 78% of SME’s believe that lenders need better quality and depth of data.

How data can help solve each SME lending challenge

Access to rich company data via a single orchestration platform can help FI’s overcome each of the SME lending challenges mentioned:

• Challenge 1 - Lack of reliable information: Credit scores, Delphi scores, payment data, CCJ history, shareholder data – surfaced, matched and verified to deliver a 360-degree view of the SME business
• Challenge 2 - High-risk: Easily identify individual SME risks with advanced KYC/KYB and AML data - credit risks, FCA authorisations, directorship and shareholder information, CCJs, cash at bank decreases, and more
• Challenge 3 - Unattractive costs: Save time, lower costs, and free your resources for high-value activities by surfacing actionable insights from multiple data sources through a single platform, to pre-populate forms and accelerate onboarding processes. Allows FI’s to onboard more SME customers in less time, without compromising thoroughness or compliance.
• Challenge 4 - Regulatory constraints: Overcome challenges when onboarding SME customers in relation to strict KYC and KYB regulations, extensive documentation requirements, and the need to assess creditworthiness while meeting evolving customer expectations. Automate the entire end-to-end SME onboarding process including KYC/KYB checks, UBO and director identification, AML and fraud screening, credit worthiness and document verification checks.‍
• Challenge 5 - Lack of credit history:  Access credit history data from a range of sources via one plug-in, including credit reports, credit scores, and other financial information to perform best practices for creditworthiness evaluation and financial health.

• Challenge 6 - SMEs themselves can be a roadblock: With more detailed and comprehensive customer information, FI’s can deliver better advice to SMEs, matching products with need.

The benefits:

• Optimise time to funding - cut onboarding times from weeks to minutes
• Reduce risk - spot issues and act on opportunities faster
• Minimise cost - Remove friction and enhance the operational efficiency of credit practices
• Accelerate revenue growth – serve SMEs successfully and cost-effectively at scale
• Win and retain more SME customers - Deliver more commercially-beneficial outcomes

‍Grasp the SME lending opportunity in 2025 with FullCircl

FullCircl offers a single data orchestration platform to help you overcome all SME lending challenges and provide businesses with the funding they need to grow.

• Acquire more SMEs - actionable insights, enabling personalised SME lending strategies that boost acquisition, customer loyalty
• Onboard SMEs faster - end-to-end SME onboarding incorporating robust KYB and KYC procedures, thorough people checks, and effortless compliance.
• Retain SME business – Gain daily insights into customer behaviour and industry trends to continuously tailor your approach, meet unique  and evolving needs, provide a personalised touch that fosters strong connections.

To learn more about how FullCircl can transform your approach to SME lending and help you capture a share of this £70 billion funding opportunity, contact us today.

ID verification software has emerged in the last decade to provide a seamless and secure way to authenticate individuals online, helping businesses prevent fraud, comply with regulations, and improve user experience. But what exactly is digital identity verification, and how does it work? In this article, we’ll explore the fundamentals of digital identity verification software, its benefits, and how businesses can integrate it into their operations.

Types of Digital IDs Available

Digital identity (or digital ID) refers to the electronic representation of an individual’s personal information. Various forms of digital IDs exist, including:

• Government-issued digital IDs: These are official identity documents such as driving licenses, passports, and national ID cards stored digitally. One of the most recent developments on this front is the UK Government announcing the launch of their digital identity wallet which will store government issued documents on a mobile phone.
• Biometric-based IDs: These rely on facial recognition, fingerprints, and iris scans to verify a person’s identity.
• Blockchain-based digital IDs: Secure, decentralised identities that enhance data privacy and security. Whilst this is still untested at scale, blockchain is quickly emerging as a secure method of digital ID.
• Social and enterprise IDs: Profiles linked to social media or workplace authentication systems.

As online services expand, the need for reliable digital identity verification software becomes essential in ensuring security and trust.

Why Is Identity Verification Important?

Businesses and organisations must verify identities for several key reasons:

Compliance With Regulations

Many industries, including financial services, banking, crypto, and e-commerce, must comply with stringent regulations such as Know Your Customer (KYC) and Anti-Money Laundering (AML) requirements. Identity verification solutions help businesses meet these standards by ensuring that customers are who they claim to be. Global regulatory bodies including Financial Action Task Force (FaTF) and the Financial Conduct Authority (FCA) exist to implement and guide on new regulations to better protect businesses and their customers.

Fraud Prevention

With the rise of cybercrime, robust fraud prevention measures are crucial. ID verification software detects fraudulent activities by cross-referencing data sources, checking identity documents, and using AI-powered analysis to identify potential risks.

Enhancing User Experience

A seamless onboarding process improves customer satisfaction. Digital identity verification streamlines account creation, reducing the need for manual checks and paperwork while ensuring security. Customers are increasingly expecting access to products and services quicker than ever before, digital ID verification can be completed in real-time to remove friction from account opening and point of purchase.

Faster and More Secure Transactions

Businesses handling sensitive personal data need a secure, efficient method to verify users quickly. Identification verification software allows businesses to process transactions safely without compromising speed or accuracy.

What Is ID Verification Software Compared to Traditional ID Verification?

Traditional identity verification relied on manual document checks, in-person verification, and physical records. In contrast, digital identity verification software offers a more efficient, automated approach:

Data Verification

ID verification software cross-checks personal information such as date of birth, address, and financial history against trusted data sources to confirm identity authenticity. This is otherwise known Know Your Customer (KYC), which has become popular due to the lack of customer interaction required to complete the checks.

Document Verification

AI-powered systems scan and authenticate identity documents, such as passports and driving licenses, ensuring they are valid and untampered. Document verification validates that an identity document is legitimate and not fraudulent, and is often coupled with facial recognition to provide a further layer of security.

Benefits of Using Digital ID Verification Software

Increased Efficiency

Automating the identity verification process reduces manual workload and accelerates verification, allowing businesses to onboard customers faster.

Regulatory Compliance

With built-in compliance features, identity verification solutions help businesses adhere to global regulations, avoiding hefty fines and legal issues.

Enhanced Customer Acquisition

A seamless verification experience reduces drop-off rates during the onboarding process, leading to higher customer conversion rates.

Improved Risk Management

AI-powered fraud detection capabilities help businesses identify suspicious activities and mitigate security risks effectively.

How Digital Identity Verification Works

Digital ID verification follows a structured process to authenticate a user's identity. More advanced ID verification suppliers will be able to customise this journey to ensure that it is suitable for a variety of use cases and preferences. However, the typical process is as follows:

1. User Submission: The individual provides their identity documents (e.g., passport, driving license) and personal information (name, date of birth, address).
2. Document Verification: Software scans and verifies the authenticity of the submitted ID by checking security features and cross-referencing databases.
3. Biometric Authentication: The user may be required to take a live selfie or undergo facial recognition to match their face with their ID photo.
4. Database Checking: The system validates the provided details against data sources such as government databases and financial records.
5. Fraud Detection & Risk Assessment: Advanced algorithms assess the risk of fraud by identifying inconsistencies or suspicious behaviour.
6. Verification Decision: If the information is valid, the identity is confirmed, granting the user access to the requested online services; otherwise, further checks, such as Enhanced Due Diligence (EDD) may be required.

What ID Verification Software Can Help With

Automated document verification: Scans and authenticates government-issued ID documents.

Facial recognition technology: Matches a user’s face with their official ID.

Database cross-referencing: Confirms identities by checking against global data sources.

Real-time fraud detection: Identifies anomalies and potential fraudulent behaviour.

Regulatory compliance checks: Ensures businesses adhere to legal requirements.

Getting Started with Digital ID Verification

Implementing ID verification software is crucial for businesses looking to enhance security, improve compliance, and streamline customer onboarding. By leveraging real-time verification tools, companies can mitigate fraud risks and provide seamless user experiences, ultimately leading to a more efficient customer journey and quicker revenue recognition.

To explore a trusted identity verification service, book a demo with the FullCircl team to discover how your business can benefit from our global digital ID solutions.

Frequently Asked Questions

How Long Does Digital ID Verification Take?

Depending on the identity verification service, digital ID verification typically takes seconds to a few minutes. Real-time solutions expedite the process by instantly analysing personal data and verifying identity authenticity.

What Types of Data Are Used in Identity Verification?

Common data sources used in ID verification include:

• Government records (passports, driving licenses, national IDs)
• Financial records (bank details, credit history)
• Biometric data (facial features, fingerprints)
• Personal information (name, date of birth, address)

Why Do Businesses Need Digital ID Verification?

Businesses across various industries require ID verification software for:

• Fraud prevention
• Regulatory compliance
• Faster customer onboarding
• Enhanced security in online transactions

Is Digital ID Verification Compliant with Global Regulations?

Yes. Leading identity verification solutions comply with regulations such as GDPR, KYC, AML, and CCPA, ensuring businesses operate legally while protecting customer personal information.

Some regulators including BaFin require additional security measures such as video verification within the identity verification journey. Regulated businesses should seek consultation directly with the regulators within their chosen jurisdictions or partner with trusted suppliers who understand the nuances of cross-border regulation.

How Can Businesses Integrate Digital ID Verification?

Businesses can integrate identity verification software through:

• API integrations: Seamlessly embed verification tools into existing platforms.
• SDKs (Software Development Kits): Pre-built solutions for mobile and web applications.
• Cloud-based services: Scalable, AI-powered platforms for real-time verification.