<2s
Screening response
AI Products - Sanctions & Compliance AI
Screening at
machine speed.
Compliance by design.
Sanctions data arrives as web pages, PDFs, scans, and spreadsheets - never screening-ready. This platform automates the whole journey: extraction, normalization, versioning, screening, and audit, in your own environment.
Part of Benchmark's AI Accelerators, a suite of enterprise-grade automation products
Abdul Rahman K.
ABDULRAHMAN, Khalid
⚑ REVIEW
MATCH SCORE
94%
HIT SCORE
HIGH
RAHMAN, A. Traders LLC
✓ NO MATCH
MATCH SCORE
31%
● response 1.4ssearch logged · audit ID #A-88213
The Business Case
Compliance risk you can measure
Sanctions regimes are expanding faster than manual processes can track - and the cost of a missed match keeps rising.
2,500+
Persons added to the US SDN list in 2023 alone - sanctions lists change constantly, often without warning.
SOURCE · CNAS$3.8B
Global penalties for AML, KYC, sanctions, and CDD compliance failures in 2025.
SOURCE · FENERGO~90%
Of screening alerts are false positives - teams drown in noise while real risk hides in the queue.
SOURCE · LEXISNEXIS RISK100K
Records per batch
99.9%
Uptime target
0
Manual list downloads
100%
Searches logged
3
Matching methods
Platform design specifications - Sanctions & Compliance AI
How It Works
One platform for the entire sanctions data lifecycle
Most screening tools start after you've solved the data problem. Sanctions & Compliance AI starts at the source - and stays with every record all the way to the audit log.
Stage 01Ingest
Configure any source - OFAC, EU, UN, or others. The scheduler extracts on your defined frequency, in whatever format the authority publishes.
HTMLPDFScanned PDF · OCRExcelCSVZIP · recursive
Stage 02Normalize
Every record standardized into one canonical schema, duplicates merged - never at the cost of source evidence.
Entity nameAliasesCountryAddressDOBAuthorityCategorySource doc
Stage 03Version
Each refresh is snapshotted, so you can answer the question regulators ask: what did the list say when you screened?
Stage 04Screen
Three modes, one engine: single search under 2 seconds, batch files up to 100,000 records, and a REST API for the transaction flow.
Single · <2sBatch · 100KAPI · real-time
Stage 05Match
Exact matching flags direct hits; fuzzy catches transliteration variants. Every result scored against configurable thresholds.
Stage 06Reduce Noise
AI suggests ignore-list entries from recurring false hits - each one human-reviewed and validated before it takes effect.
Stage 07Audit
Every search and data access event is logged with user, time, input, and outcome - compliance evidence as a by-product of daily work.
Platform Capabilities
Twelve capabilities, one platform
From raw source document to audit-ready evidence.
Configurable Sources
Add any watchlist in minutes.
Multi-Format Extraction
Scheduled, automatic, any format.
OCR for Scans
Scanned PDFs made searchable.
Normalization
One canonical schema, every source.
Duplicate Detection
Merged, with source lineage kept.
List Versioning
Prove what the list said, when.
Single-Search Screening
Name in, verdict out.
Batch Screening
Whole files at once.
Screening API
Screen inside the payment flow.
Multi-Method Matching
Catches transliteration variants.
AI Ignore Lists
Less noise, with a safety gate.
Audit Logging
Every search, on the record.
Matching Engine
Three methods. One score. Zero guesswork.
Immediate flags for direct hits
When a payee name matches a sanctioned entity exactly, the system flags it instantly with the highest relevance. Exact matches contribute the strongest weight to hit scoring - no ambiguity, no delay.
Spelling variants can't hide
"Mohammed" vs "Muhammad". "Abdul Rahman" vs "Abdulrahman". Fuzzy matching detects spelling, spacing, and transliteration differences that exact matching misses - supplementing coverage without inflating exact-match confidence.
A number your risk policy can act on
Every result carries a calculated match percentage reflecting text similarity and matching logic. Exact matches score higher than fuzzy ones, and thresholds are configurable by authorized users - so the score maps to your risk appetite.
Screened payeeHASSAN, Ali M.
Sanctions recordHASSAN, Ali M.
MATCH SCORE
100%
RESULT
⚑ EXACT · REVIEW
AI False-Alert Reduction
Less noise - with a safety gate AI can't bypass
Recurring false positives waste analyst hours. The Ignore List service cuts them down, without ever letting a real match slip through.
Recurring false hits
The same benign payee keeps triggering alerts, screen after screen.
AI suggests
The system analyzes the pattern and proposes an ignore-list entry, traceably marked as AI-generated.
Human approves
Nothing activates automatically. An authorized compliance officer reviews and approves every suggestion.
Validation gate
Every entry is validated against sanctions data - a sanctioned entity can never be ignored.
Scoped filtering
Approved entries apply globally, locally, or per customer - auditable at every step.
Human-in-the-loop by design. AI suggestions never take effect without review, approval, and validation - so noise reduction never becomes a compliance gap.
Why Sanctions & Compliance AI
Built where other tools stop
The full data lifecycle, one platform
We own the data problem others assume you've solved.
Versioned data, full traceability
Every decision stays defensible years later.
Three screening modes, one engine
Dashboard, batch, and API - same engine, same audit trail.
AI noise reduction with a validation gate
AI proposes, humans approve, validation protects.
Built for every role
Purpose-built views, enforced by role-based access.
Purpose-Built Views
One platform, two mission controls
Compliance teams review matches. Operations teams keep the data fresh. Each gets a dashboard designed for the job.
Compliance Analyst
Search Dashboard
Manual screening with full match detail - matched entity, scores, source document, and risk flag on one screen.
AL-SAYED, Omar97% · OFAC SDN · HIGH
ABDULRAHMAN, K.84% · EU List · REVIEW
PETROVA, Elena28% · below threshold
Operations Manager
Operations Dashboard
Source freshness, last successful extraction, and failure alerts - data reliability at a glance.
OFAC · SDN Listextracted 22 min ago
EU Consolidated Listextracted 1 hr ago
UN Security Councilretry scheduled · alert sent
In Practice
How teams put it to work
ILLUSTRATIVE SCENARIO
Bulk onboarding without the backlog
A regional bank onboards thousands of new customers and vendors each quarter. Compliance uploads batch files of up to 100,000 records; each payee is screened independently, invalid rows are flagged without failing the batch, and results come back per record.
Every batch is then segregated by confidence: high match-score hits escalate for analyst review, while benign coincidences - the common regional names that trigger repeat alerts - are cleared through validated ignore lists. Genuine matches surface; false positives fall away, so the queue stays focused on real risk.
Capabilities in play
Key USP
Positive-hit & false-positive segregation
High-confidence sanctions matches escalate for review; benign regional-name collisions are suppressed via validated ignore lists - on every batch.
- Batch screening up to 100,000 records
- Per-payee results with trackable batch status
- AI-suggested, human-approved ignore lists
- Full search audit logging for examiners
ILLUSTRATIVE SCENARIO
Screening inside the transaction flow
A payments fintech needs every payee checked before money moves. The screening API returns match scores, matched entities, and risk flags in under two seconds - fast enough to sit inline in the payment journey without hurting conversion.
Match-score thresholds do the segregation inline: a genuine hit halts the payment for review, while a coincidental name clears in under two seconds - real risk and benign payees sorted before money moves, and every call logged for audit.
Capabilities in play
Key USP
Positive-hit & false-positive segregation
Match-score thresholds separate real hits from benign payees inline - clearing false positives in under 2 seconds without stalling the transaction.
- Secure REST screening API over HTTPS
- <2-second response for inline checks
- Configurable match-score thresholds
- Automatic audit logging of every call
ILLUSTRATIVE SCENARIO
One platform, many clients
A compliance services firm screens on behalf of multiple clients. Customer-specific ignore-list scopes keep each client's tuning separate, role-based access keeps users inside their own boundary, and usage tracking feeds a per-client billing dashboard.
Segregation is tuned per client: each account's ignore scope decides which coincidental matches clear, while every genuine hit still surfaces - so one client's false-positive tuning never weakens another's screening, and each carries its own audit lineage.
Capabilities in play
Key USP
Positive-hit & false-positive segregation
Per-client ignore scopes tune segregation for each account - genuine hits always surface, with separate audit lineage per client.
- Global, local, and customer-specific ignore scopes
- Role-based access across all modules
- Usage tracking attributable per customer
- Customer billing and subscription dashboards
For Engineering Teams
Screening as an API call
Drop sanctions screening into onboarding, payouts, or transaction flows with one secure endpoint.
- Structured input: payee name, plus optional country and date of birth
- Response includes match score, matched entity, source, and risk flag
- HTTPS-only, authenticated, with standard error handling
- Every request and response auditable by design
// request { "payee_name": "Abdul Rahman K.", "country": "AE", "dob": "1979-03-14" } // response · 1.4s { "match_score": 94, "hit_score": "HIGH", "matched_entity": "ABDULRAHMAN, Khalid", "source_document": "OFAC_SDN_2026_07", "risk_flag": "REVIEW", "audit_id": "A-88213" }
Security & Trust
Engineered for regulated environments
HTTPS Everywhere
All API communication encrypted in transit.
Encryption of Sensitive Data
Protected in transit and at rest by design.
Role-Based Access
Four defined roles, enforced across every module.
Tamper-Resistant Audit Logs
Every search and access event recorded and retrievable.
99.9% Uptime Target
24/7 screening availability with automated retries.
OFAC, EU, and UN sources out of the box, plus any other list your team configures — the source management module accepts any URL publishing HTML, PDF (including scanned), Excel, CSV, or ZIP formats, on your defined update frequency.
Single searches return in under 2 seconds under normal load. Batch jobs handle up to 100,000 records per file, and the API is designed for real-time checks inside transaction flows, with a 99.9% uptime target.
The matching engine detects spelling, spacing, and transliteration variations — like “Mohammed” vs “Muhammad” or “Abdul Rahman” vs “Abdulrahman” — and reflects them in a calculated match score. Fuzzy results supplement exact matching without overriding its confidence, and score thresholds are configurable.
Yes — that’s the Ignore List service’s core design. AI suggests entries from recurring false-hit patterns, an authorized user must review and approve each one, and a validation layer ensures a sanctioned entity can never be added to an ignore list. Every step is auditable.
Every search — manual, batch, or API — is logged with timestamp, user or system source, input reference, and outcome. Data access events are logged separately. Sanctions list versioning means you can also show exactly what the data said when you screened.
Yes. Customer-specific ignore-list scopes, role-based access, per-customer usage tracking, and subscription plan management support serving multiple clients from a single deployment — each with its own billing dashboard.
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