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KYC · KYB · Sanctions & PEP screening

Onboard good customers in minutes and send only real risk to your analysts.

AI KYC verification that orchestrates your existing ID, liveness and screening vendors, resolves name-match noise with evidence, and builds KYB ownership files. Analysts get a decision-ready case; your MLRO keeps the risk appetite and final call.

Vendor neutral: works with Onfido, Sumsub, Jumio, ComplyAdvantage, LSEG World-CheckEvidence attached to every cleared or escalated matchMLRO owns thresholds; humans decide every escalation

What is AI KYC verification?

AI KYC verification is the use of machine learning and language models to check customer identity documents and liveness, screen names against sanctions, PEP and adverse media lists, and assemble business ownership for KYB. It outputs a risk score, a reasoned disposition for each screening hit with supporting evidence, and a case file routed to an analyst when the risk policy requires human review.

Financial crime complianceDelivered in the US, UK and UAEUpdated
The cost of onboarding by hand

Slow KYC loses good customers and still lets bad ones through.

Compliance teams are asked to clear more applicants, faster, while enforcement grows. Most analyst hours go on screening hits that turn out to be namesakes.

of firms lost clients to inefficient onboarding, in Fenergo's 2025 survey of 600 senior leaders in the UK, US and Singapore.[1]

UK corporate banks reported the slowest onboarding, at more than six weeks, in the same survey.[1]

Cost of a single KYC review for a medium-risk corporate client, per Fenergo's 2024 survey of 450+ C-level bank executives.[2]

Low-risk applicants cleared with evidence attached, so analysts spend their time on genuine matches and complex ownership.

What we deploy

An orchestration layer over the vendors you already pay for.

Retail · KYC

Identity, liveness and fraud signals

We orchestrate document, NFC chip and liveness checks from your providers and add signals they miss in isolation.

  • Cross-application device, email and address reuse detection
  • Document tampering and template checks for UK, US and GCC IDs
  • Step-up to video or manual review only when risk rules say so
Screening · sanctions, PEP, media

False-positive resolution with evidence

Every name hit is compared on date of birth, nationality, identifiers and context. The system writes why it cleared or escalated.

  • Screens against OFAC, UK OFSI, UN and UAE local terrorist lists via your data provider
  • Adverse media summarised with source links and entity matching
  • Clearance thresholds set and signed off by your MLRO
Business · KYB

Ownership and registry file building

For business customers, we pull registry data, parse constitutional documents and map ultimate beneficial owners.

  • Companies House, US state registries, UAE trade licences and free zone registers where accessible
  • Ownership charts from shareholder registers and MOAs
  • Missing-document requests drafted and sent through your CRM
The 21-day production pilot

Measured on your applicants, under your risk policy.

Days 1–4

Map policy and baseline

We review your customer risk assessment, screening thresholds and current alert outcomes with compliance, then agree one metric: manual review rate, time to decision or false-positive rate.

Days 5–10

Replay closed cases

Using a sample of historical applications and dispositions in your cloud, we measure how the system would have ruled and where it disagrees with analysts.

Days 11–17

Shadow mode on live flow

The AI runs alongside analysts without affecting decisions. Every disagreement is reviewed with the MLRO or delegate.

Days 18–21

Controlled go-live

Auto-clear enabled for the lowest-risk segment only, with QA sampling. We report the metric, the audit trail design and the Run plan.

Options compared

AI KYC verification approaches compared

CriterionManual analyst reviewSingle-vendor KYC platformStratgik build + run
Document and livenessVisual checks, inconsistentStrong within that vendor's coverageUses your vendors, adds cross-application fraud signals
Screening false positivesEvery hit reviewed by handFuzzy-match tuning, limited contextHit-by-hit reasoning with evidence and MLRO-set thresholds
KYB and UBO mappingDays of registry searchingVaries widely by countryRegistry, document parsing and ownership chart per jurisdiction
Audit trailNotes in case systemVendor logsDecision, evidence, model version and approver stored in your systems
Vendor lock-inNoneHighLow; providers can be swapped behind the orchestration layer
Best fitVery low volumeSingle-market retail onboardingMulti-market, mixed retail and business customers
Why it matters now

Enforcement is rising while onboarding tolerance is falling.

Regulators in the US, UK and UAE expect firms to show how decisions are made. Customers expect an answer the same day. AI helps only when it produces an evidence trail an examiner can follow.

  • Humans decide every escalated case and every exit
  • MLRO approves thresholds and model changes
  • Explanations stored with each decision for audit
  • Data stays in your cloud region (UK, UAE or US)
$1.23bnin regulatory fines tracked by Fenergo in H1 2025, up 417% on H1 2024[1]
£1.28bnUK payment fraud losses in 2025, with over 4 million cases (UK Finance Annual Fraud Report 2026)[3]
AED 200mfinancial sanction imposed by the Central Bank of the UAE on one exchange house for AML failures in May 2025[4]
4%of banks had automated the majority of their KYC workflows (Fenergo, 2024)[2]
Work out the numbers first

What fewer manual reviews are worth

Estimate analyst time recovered from applications that no longer need manual review. The reduction in manual reviews is an assumption; the pilot measures it on your own applicant flow under your policy.

Analyst cost recovered per year

Test this in a pilot

Illustrative estimate using your inputs and stated assumptions, not a quote or guarantee. The pilot measures the real figure against your baseline.

Pricing

Priced by customer types and markets

Pilot

$22,000 one-time

One product line (retail or business), one market, your existing vendors

  • Policy mapping with compliance and MLRO
  • Historical replay on closed cases in your cloud
  • Shadow mode on live applications with QA review
  • Results against one agreed metric plus audit trail design
Scope my pilot
Most teams continue here

Run

$5,500 / month

Production operation, monitoring and model governance

  • Drift and disagreement monitoring with monthly MLRO pack
  • List, threshold and rule changes on request
  • Quarterly QA sampling report
  • Incident response for vendor outages or model issues
Talk to us

Scale

$14,000+ / month

Additional markets, KYB and ongoing monitoring

  • Extra jurisdictions: UK, US, UAE mainland and free zones
  • KYB with UBO mapping and registry integration
  • Periodic review and perpetual KYC refresh
  • Transaction monitoring alert triage
Plan a rollout

Third-party KYC, screening and data provider fees, model usage and cloud hosting billed at cost. Stratgik designs and runs the system; your firm remains responsible for its AML programme and regulatory obligations. Taxes excluded. GBP and AED prices are indicative conversions from USD.

Questions buyers ask

AI KYC verification: frequently asked questions

How does AI KYC verification reduce false positives in sanctions and PEP screening?

AI KYC verification reduces false positives by comparing each hit on more than the name: date of birth, nationality, identifiers, address history and the context of adverse media. It then writes a short rationale for clearing or escalating. Thresholds for auto-clearing are set by your MLRO, applied to the lowest-risk matches first, and sampled by QA so any drift is caught.

Is AI KYC verification acceptable to regulators like the FCA, CBUAE or FinCEN?

Regulators generally judge outcomes and controls, not whether a tool uses AI. We design for that: documented risk policy, human decisions on escalations, explainable rationale per case, model change control and a full audit trail in your systems. We do not guarantee regulatory approval or compliance; your compliance function validates the design and remains accountable for the AML programme.

Do we have to replace our current KYC vendor?

No. Most clients keep their document, liveness and screening providers, such as Onfido, Sumsub, Jumio, ComplyAdvantage or World-Check. We build an orchestration layer that calls them, combines their results with your own data, and applies your risk rules. That also lets you add a second provider for a new market, or switch, without rebuilding onboarding.

How much does AI KYC verification cost?

A Stratgik pilot is a fixed $22,000 for one product line in one market over 21 days. Run is $5,500 a month, and Scale for more markets, KYB and ongoing monitoring starts from $14,000 a month. Your existing KYC vendor fees, model usage and cloud costs are passed through at cost. The calculator above estimates analyst time recovered.

Can it handle KYB for UAE free zone and mainland companies?

Yes, with some manual steps. Registry access differs between UAE mainland authorities and free zones, so the system combines available registry data with parsing of trade licences, memoranda of association and shareholder registers. It builds an ownership chart and flags missing UBO evidence for the analyst. Coverage is confirmed per free zone during the pilot.

How long does it take to implement AI KYC?

A controlled production launch takes about 21 days for one product line and market when your vendors already have APIs. That covers policy mapping, replay on historical cases, shadow mode and a limited go-live for the lowest-risk segment. Adding KYB, more jurisdictions or ongoing monitoring usually takes a further four to eight weeks each.

Next step

Bring last month's screening hits.

In a 45-minute session we review an anonymised sample of your alerts and show how many could be resolved with evidence, and which would still go to an analyst.