Tech

Faster KYC checks among licensed operators

A general industry trend: automated identity verification cutting waiting times.

Written by Carlos Mendes, Fact-Checking EditorPublished 10 June 2026

Automation in identity verification

Automated document verification and facial-recognition tools have reduced the time between signup and account approval at many licensed operators, without compromising legal KYC requirements.

This piece looks at the industry trend and the technology behind it: the mechanics of the identity-verification process itself, covered from a bettor's practical perspective, are addressed in the dedicated KYC guide.

How optical document recognition works

Optical character recognition (OCR) technology, adapted specifically for identity documents, automatically reads and extracts the relevant fields from a photographed document (name, date of birth, ID number), comparing the format and layout of those fields against known templates for that specific document type (ID card, passport, driving licence), to flag inconsistencies that might indicate tampering or forgery.

More advanced systems combine this OCR with additional checks on the document's own physical integrity (security features visible under certain lighting, microtext, or holographic patterns), captured through specific instructions given to the user during the photo-capture process, such as tilting the document at a particular angle to catch a security feature only visible that way.

Facial recognition and liveness detection

Once the document is captured, many KYC systems ask the user for a selfie or a short video clip, automatically compared against the document photo using facial-recognition algorithms, technology that assesses similarity between the two faces based on facial reference points, rather than a simple direct visual comparison between two images.

The 'liveness detection' component complements this step, asking the user for specific actions during video capture (blinking, slightly turning the head, smiling) precisely to confirm there's a real, present person on the other side of the camera, not a static photo or pre-recorded video attempting to bypass the facial-verification process.

Why automation hasn't eliminated human review

Despite advances in automation, most licensed operators still keep a human team responsible for reviewing cases the automated system flags as uncertain or higher-risk: damaged documents, borderline-quality photos, or discrepancies the algorithm can't resolve with enough confidence to automatically approve or reject.

This hybrid model, combining automation for the clear majority of cases with human review for edge cases, reflects a deliberate balance between speed and rigour: fully automating with no human safety review would raise the risk of incorrect approvals; requiring human review on every case would eliminate much of the speed gain automation provides in the first place.

Specialist identity-verification vendors

Much of the KYC technology betting operators use isn't developed in-house by each individual company: it's licensed from specialist digital identity-verification vendors, technology companies (often described as 'RegTech,' regulatory technology) that simultaneously serve betting operators, banks, fintechs, and other sectors subject to similar compliance demands.

This market structure, where specialist vendors serve multiple regulated sectors at once, allows technological improvements developed for one sector (more sophisticated forged-document detection, for example) to quickly benefit other sectors using the same vendor, including betting, without each operator needing to develop that technology in isolation from scratch.

The impact on sign-up abandonment rates

A slow or frustrating identity-verification process is one of the most commonly cited causes, in user-experience analysis across the digital sector generally, for sign-up abandonment before completion: a prospective customer who already showed enough interest to start registering, but gives up before finishing because of friction in the verification process itself.

The reduction in time between starting registration and account approval, made possible by automation, has a direct effect on this abandonment rate: the faster and simpler the process, the lower the chance of losing a prospective customer already converted into intent, but not yet into an active account, during the final and usually most sensitive stage of the entire sign-up process.

The risks of automation: false positives and negatives

No automated identity-verification system is perfect: there's always some level of false positives (genuine documents incorrectly rejected by the system, forcing the user to repeat the process or go through manual review) and false negatives (fraudulent documents that pass through the automated system unflagged), and reducing one type of error tends to increase the other, with no single configuration that eliminates both entirely.

Operators and KYC technology vendors continuously invest in fine-tuning this balance, aware that an overly permissive system raises fraud and regulatory non-compliance risk, while an overly restrictive one raises friction and genuine-customer abandonment; neither direction is free of real cost to the operator, which makes this tuning an area of ongoing technical investment, not a problem solved definitively in a single development phase.

What's next for KYC automation

The broader trend toward increasing automation in identity verification isn't exclusive to the betting sector: it reflects a wider shift across financial and digital services generally, as document-recognition and fraud-detection technology keeps improving and becoming more accessible to companies of every size, not just the largest operators with the most generous technology budgets.

For the average bettor, it's reasonable to expect the verification process to keep getting faster and less intrusive, on average, over time, without that meaning any reduction in the rigour regulators demand. Automation solves the speed problem; it doesn't, and shouldn't, solve away the underlying regulatory requirement to confirm identity, age, and source of funds before any betting account is fully operational.

Age verification: the most sensitive requirement to speed up

Among the various goals of KYC verification, age confirmation is probably the requirement where automation faces the strictest scrutiny: any failure at this specific point has direct, serious consequences, unlike, say, a minor error confirming an address. Automated age-verification systems cross-check the date of birth shown on the document against official databases wherever possible, rather than relying solely on optically reading the printed date on the document itself.

Precisely because of this heightened sensitivity, many operators keep higher confidence thresholds specifically for age confirmation than for other fields checked during the KYC process: a document might be automatically approved on name confirmation, but flagged for human review specifically on age confirmation, if any ambiguity exists in reading the date of birth.

Cross-checking against official databases and sanctions lists

Beyond reading the document itself, many automated KYC systems cross-check the extracted data against official identification databases, wherever technical integration is available for the country in question, and against international sanctions lists and politically exposed persons (PEP) lists, an anti-money-laundering requirement common to regulated financial institutions more broadly, not just the betting sector specifically.

This automatic cross-checking against external databases typically happens in seconds, a process that would be impractical to replicate manually at the same scale and speed; it's one of the areas where automation brought a genuinely new capability, not just more speed on a process that was already technically possible to do by hand before.

A comparison with the process from a few years ago

A decade ago, the KYC process at a typical betting operator often meant emailing photos of documents or submitting them through a simple form, followed by a wait of several days until a human team manually reviewed each submission, a functional but slow process, subject to further delays during periods of higher sign-up volume, such as around major sporting events.

The contrast with today's typical process is significant: submission directly through the operator's app or site, guided document and selfie capture, and a response (approval, rejection, or flagging for further review) in many cases within minutes rather than days. This shift in timescale, from days to minutes, is probably the single most visible, most widely felt transformation for any bettor who has registered accounts with licensed operators both a decade ago and today.

The cost of compliance, and who ends up bearing it

Licensing identity-verification technology from specialist vendors, maintaining human review teams for flagged cases, and meeting regulatory reporting obligations all carry a real, ongoing cost for any licensed operator: a cost that, much like the other regulatory obligations covered in the articles on licensing in Brazil and Portugal, ends up folded, directly or indirectly, into the operator's overall cost structure.

Unlicensed operators, by avoiding these compliance obligations entirely, can in theory run this specific area more cheaply; but they do so precisely by giving up the protections rigorous identity verification provides, both for preventing fraud and for protecting the bettor themselves, which reinforces, once again, why the gap between a licensed and an unlicensed operator runs far deeper than a simple regulatory label.

A trend that reaches well beyond betting

It's worth situating KYC automation in the betting sector within a much broader trend running across practically every digital financial service. Digital banks, investment brokerages, cryptocurrency platforms, and payments fintechs all face exactly the same set of pressures: meeting strict regulatory identity-verification demands without introducing enough friction to drive away legitimate customers right at the sign-up stage.

This shared pressure, felt by so many different sectors at once, is part of what has fuelled continuous investment in identity-verification technology over recent years: the more sectors that depend on the same underlying technology, the greater the commercial incentive for specialist vendors to keep improving it, indirectly benefiting every individual sector that uses it, betting included, whether or not each one gets much individual public credit for the underlying improvement it quietly ends up receiving behind the scenes. Next time a sign-up at a licensed operator finishes in minutes instead of taking several days, this shared cross-industry investment is a large, mostly invisible part of the real explanation quietly sitting behind it all, whether anyone notices or not.

Related guides

KYC: Identity Verification Explained