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CLIENT
SCREENING
Built for volume.
Greater precision.
Multi-configuration screening lets your team tune thresholds and rules per customer risk profile first, cutting out the noise a single global setting creates. AI then reduces what's left further, scoring and explaining the remaining alerts so analysts spend their time on genuine risk, not manual triage.
Responsible agents add the third layer, automatically clearing known patterns before they ever reach a queue, so your team only sees what genuinely needs a human decision.
Three layers. One clear signal.
Napier AI Client Screening screens customer records at scale, with AI fuzzy name matching across more than 20 languages, including transliteration, variant spellings and aliases that exact-match tools miss.
Multi-configuration screening lets your team run independent setups per customer type, risk level or list, tuned tighter or broader depending on risk rather than one global setting. Configurations are tested and tuned in a no-code sandbox on real data before anything goes live.
AI then reviews what's left. It presents its match recommendation as a plain language narrative, giving analysts and regulators an auditable rationale for every decision. Repeat hit and materiality logic suppresses hits that have already been cleared and haven't materially changed, cutting analyst rework without losing coverage.
Responsible agents build on this further. Your team can create and tailor agents in the sandbox, choosing exactly how much autonomy to hand over, from flagging patterns for review to clearing them automatically. The human decision maker stays in charge throughout, with every agent action captured in the audit trail.
The result is a single, highly configurable platform that reduces client risk, reputational risk and regulatory risk together, with a full audit trail on every user and system action to meet your compliance obligations.
Features
Multi-configuration screening
Integrated sandbox
AI match recommendations
Responsible agentic AI
Flexible deployment
Real-time decisioning
Benefits
Deployment flexibility, wherever you need it
Deploy in real time via our fully managed SaaS solution, in any privatecloud, or on-premise.
Integrate into your existing case management system, oruse Napier AI's own.
Capacity now and in the future
Scales to ingest and screen billions of customer records, so capacitygrows with you rather than becoming a constraint.
No-code configuration
Test, tune and optimise multi-configuration screening on production data in the integrated sandbox before going live, and keep refining it afterward asyour risk appetite evolves, with zero impact on day-to-day operations.
AI fuzzy matching across 20+ languages
Transliteration, phonetics, nicknames, spelling errors and more, across more than 20 languages.
Fewer false positives, smarter allocation
Secondary data matches, such as date of birth or address, automatically discount false name matches, reducingunnecessary alert volumes. Remaining alerts are then allocated automaticallyand accurately.
Responsible agents clear the routine work
Build and tailor agents in the sandbox to triage or clear known patterns automatically, with the human decision maker always in control and every actioncaptured in the audit trail.
AI match recommendations speed up decision-making
AI helps analysts review alerts faster by presenting a plain languagerecommendation, identifying likely false positives and explaining why an alertwas raised.
Multi-organisation capability
Meet the requirements of regulators across multiple regions whilekeeping a single operational point of triage.
High-quality data coverage
We partner with leading providers of real-time data to bring you strongout-of-the-box coverage.
Lower total cost of ownership
Fast training and implementation, self-serve configuration and testing, and automation that reduces false positives all combine to lower your total cost of ownership.
Results with real impact
See what our clients have to say
“The system… enabled us to deal with the introduction of sanctions against Russia very effectively. We prioritise offering the most secure and compliant financial services solutions, and part of that commitment is investing in the best and most robust technologies available, to always stay one step ahead of financial criminals. The fact that we are now able to undertake daily screening means that management of the operational workflow is far more efficient. The system offers greater flexibility… and there are lots of opportunities for further automation of the review and decisioning process.”
Chris Thomas
Group Money Laundering Reporting Officer, St James’s Place
Detail
Compliance at your fingertips
Dashboards give compliance team leaders a top-down view of key screening activity, showing current screening configurations and history and highlighting the customers scoring the most hits. They also provide an overview of team activity and workflows, highlighting backlogs and performance issues.
All customer and intelligence data can be explored from a single dashboard, with a modern, intuitive interface for reviewing cases and data across multiple views. Bulk operations and keyboard shortcuts reduce the time required to conduct a review.
Worry-free list management
With sanctions lists evolving daily, often involving hundreds of changes, Napier AI Client Screening manages list updates in full, including quality checks.
List selection is configurable, so private lists can be maintained alongside public sanctions lists. A whitelist can also be set up to reduce the volume of false alerts.
AI matching capabilities
AI-powered matching algorithms reduce volumes of false positives significantly, enabling analyststo focus on alerts that need investigation.
The matching engine in Napier AI Client Screening supports more than 20 languages, including simplified Chinese and Arabic, with AI-driven cross-language and linguistic knowledge matching capability.
The systemautomatically suggests matches on entities that would have previously been missed due to localisation, nicknames and synonyms, improving detection.
Integrated sandbox
We at Napier AI pioneered the use of the sandbox in the AML space. Our sandbox allows analysts to fine-tune screening configurations based on results from actual data before committing changes to the live environment.
So you can test before you deploy, and measure the impact of introducing changes as you go along.
AI where it adds value
AI is built into NapierAI Client Screening where it genuinely helps the analyst, not as a blanket layer over everything.
In the matching engine, AI works alongside fuzzy matching to recommend whether to review or discount an alert, based on match quality and available attributes such as date of birth, ID or nationality.
Every recommendation comes with a plain language narrative, giving analysts and regulators a clear, human-readable rationale for why an alert was raised and what it was based on.
Responsible agents build on this further, triaging or clearing known patterns automatically, withthe human decision maker always in control and every action captured in the audit trail.
Reduction of false positives
In live environments, Napier AI Client Screening has reduced false positive volumes significantly, in one case cutting alert volume from 12% to 2% of screened records.
Your team spends less time sieving noise, and more time on the cases where human judgement makes a real difference.
One point of control, every jurisdiction
As your organisation grows across regions, Napier AI Client Screening keeps compliance centralized rather thanfragmented. A single deployment meets the requirements of regulators across multiple jurisdictions, while giving your team one operational point of triageinstead of separate systems per region.
In one deployment, this approach helped a global insurance brokerage increase screening capacity sevenfold, from 3,000 to 25,000 names per minute, while centralizing control across two jurisdictions and automatically compiling 80% of its regulatory reporting.
From onboarding to every payment
Screening your customers at onboarding is one part of the picture. Every payment they make also needs to clear sanctions and watchlist checks in real time, withoutslowing down the transaction.
Napier AI Transaction Screening extends the same AI fuzzy matching and multi-configuration approach to payment screening, checking every payment type and message format against sanctions, PEP and other watchlists before it settles. Entity extraction classifies and validates payment data before it reaches the screener, cutting falsepositives without slowing the transaction down.
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