Financial-crime compliance for banks
Efficiency without giving up control.
Rules where rules are enough. AI only where it earns its place.
Solutions
Live Entity Investigations · five free searches · results in minutes
System
Customer information gathered
Frontier AI
Public records searched · name only
Rules
Scorecard created
HIGHPrivate AI
Recommendation provided
Analyst
Reviews the evidence · decides the rating
System
Rating written back to the bank’s systems
Period
Re-runs quarterly · period set by your team
Customer risk kept current between reviews
Your team’s judgement, applied at scale. Each EyesClear solution uses proven rules-based technology, private AI and frontier AI only where each is safest and most efficient. The AI does the time-consuming work; your team sets the rules, reviews what it delivers and signs it off — alongside your existing providers, with no platform replacement.
- Rules-based collection and scoring — deterministic and auditable.
- Private AI on your data, on-premise or private cloud — nothing leaves.
- Frontier AI on the public records only — sent a name, never a customer file.
Proven in live banking environments
- 9
- years in continuous production
- 7
- banking clients live
- 5+
- markets in production
- 10,000
- transactions per second
Solutions
Four solutions for the work compliance already does
Each one is a piece of work your team does today, done with the evidence assembled and the draft written before an analyst opens it. Each runs on its own, alongside the systems you already have.
On-premise or private cloud · public-record search
Perpetual KYC
Customer risk kept current between reviews, not only at them.
- Data collection
- AI analysis
- Rules-based customer scoring
- Periodic re-analysis of customer groups
On-premise or private cloud
FI Management
Your SWIFT traffic, captured once and put to work.
- SWIFT and ISO 20022 XML capture from Alliance Gateway
- Debtor and beneficiary alerting, with periodic reporting
- CESOP reporting
- Back-up
- Rebate reports on correspondent banks
On-premise or private cloud
SAR Narrative Drafting & Regulatory Reporting
From the alert your AML system raised to the filing, in one queue.
- Alert capture from AML systems
- Data collection
- SAR drafting
- Regulatory reporting
Cloud-based, in your browser
Live Entity Investigations
The half of the case you do not hold, quoted and sourced.
- Entity resolution
- Network analysis
- Sanctions, PEP and negative-news analysis
- Risky-country exposure and analysis
- Local-language analysis
- Financial-crime narrative
Underneath them sit two technologies. TheEyesClear Platform runs on-premise or in your private cloud, for your own data. EyesClear Investigations works the public records from the cloud, and goes out with a name only.
Start with the solution your backlog calls for. None of them asks you to replace what works.
Decisions compliance can sign
How it works
One queue. Three clear steps. A signature at the end.
Everything that needs a decision — a monitoring alert, a screening hit, a KYC review, an onboarding breach, an audit finding — lands in one queue. EyesClear prepares the case. Your analyst signs it. The decision then flows back into your systems without re-keying.
- 1
Rules-based collection
Transactions, customer records and internal data — and, through EyesClear Investigations, the public records on the counterparty you hold nothing about. Gathered by rules you set, so every step is repeatable and auditable.
- 2
AI analysis
The AI summarises and triages that evidence, maps the entity network and drafts the narrative. The risk is visible at a glance.
- 3
Human decision
Your analyst reviews, decides and signs. Approved actions — account holds, information requests, customer outreach — go back to your systems, every one logged.
Value created
Lower cost per case
The evidence is assembled and the narrative drafted before an analyst opens the case.
Faster regulatory response
A new typology runs across the full history overnight, and every AI output traces back to source.
Less undetected financial crime
Analyst time moves from assembling evidence to judging it, across more of the book.
Effort required for each case is substantially reduced — whether EyesClear runs the operation or works alongside what you already have.
Why EyesClear is different
Two AI architectures, each used where it belongs
Every vendor has AI now. A key question is where and how. Single architectures result in a compromise of having no access to external data or releasing the bank’s data to third parties. EyesClear architectures overcome this.
Frontier models on the public records
Best-in-class reasoning on the half of the case you do not hold.
EyesClear Investigations works the open records with frontier commercial models, and reports every finding with the quote and the source it came from. What leaves is the name being screened and the search terms derived from it — never a customer file. Those queries run under commercial terms that exclude training on what is sent.
Private AI on the bank’s own data
AI value without data-export risk.
The Platform and every inference it makes run on the bank’s own infrastructure — on-premise or private cloud, behind a private LLM gateway. No customer data and no model inference goes to an external cloud or a third-party vendor.
Two architectures, one case file
The analyst never has to think about which AI did the work.
Internal evidence and public evidence arrive in the same case, assessed together and traceable to source on both sides. Whichever side the work came from, one analyst reviews it and one signature closes it. The split is an engineering decision about where evidence lives, not something the compliance team has to operate.
Nine years in production, at the current frontier
Current AI, on a system banks already run.
Seven banking clients across five or more markets, nine years in continuous production — the AI integrated within it is the current generation, not a narrative feature added to a legacy engine. When a better model arrives it is swapped in and re-run against a fixed set of test cases with known-correct outcomes, so a change in behaviour is detected rather than assumed. The maker-checker control around it does not change.
Risk mitigated, control retained, effort removed — because the AI is chosen for where the evidence sits, not for where it is easiest to run.
Why EyesClear is different
Problems and answers
Four problems. Four answers.
Financial-crime compliance is one of the largest cost centres in any bank, and the pressure lands on the same team every time. Four problems drive it, and EyesClear answers each.
The problem
Never enough people for the volume
Alert volumes grow with the book and with every new typology. Headcount does not. The team absorbs it by spending longer on each case or by looking at fewer of them — and the research that sits in no system at all gets done by hand, one search at a time.
The answer
More of the book, by the same team
The evidence is assembled and the narrative drafted before an analyst opens the case — inside the bank and outside it alike. The counterparty research someone would otherwise do by hand comes back as a sourced report. Those hours return as coverage: more of the book reviewed, by the same people.
The problem
Incomplete evidence
Raising an alert is the easy part. The cost sits downstream: investigators wait on slow queries, then hand-write each SAR narrative in two to four hours. And on an incoming payment you hold everything on your own customer and nothing on the party who sent the money.
The answer
Both sides, in one case file
The AI assembles, analyses and drafts — working with the data you hold and through EyesClear Investigations, the public records you do not have. The analyst decides and signs off.
The problem
Audit readiness is a scramble
An examiner asks how a case was decided eighteen months ago. The answer is spread across a case system, an email thread and somebody’s memory. The web research behind it leaves no trace at all — nobody recorded what was searched, and the page the analyst read may not say the same thing today.
The answer
A file that is already examiner-ready
Evidence, case history and decisions are held centrally, with full audit trails and instant retrieval for any period. Every AI output traces back to source, and every public-record finding carries the quote and the date it came from — so the outside evidence is as defensible as the inside evidence. Maker-checker records who requested each change and who approved it.
The problem
Managers have no line of sight
Headline numbers arrive monthly, in a spreadsheet, detached from the cases behind them. By the time a backlog or a drift in quality is visible, it has been true for weeks. And nobody can see whether two analysts researched the same counterparty to the same depth.
The answer
A control plane over the operation
Headline numbers drill down to the cases behind them, live. External research runs as a repeatable step rather than as one analyst’s search habits, so what gets checked is the same across the team. A remediation run across the affected history is one action away, through the same maker-checker queue.
That work spans multiple workstreams, usually spread across multiple systems, each with its own data, queues and reports. See how EyesClear consolidates them →
One queue owns the outcome, and one signature closes it.
Four problems, four answers
In practice
What the analyst and the manager actually do
Seven steps, from the moment alert is created up to the case conclusion — same platform, same data, same maker-checker control.
- 01
The consolidated queue
Alerts from every source system land in one place. One queue instead of five logins.
- 02
The case, fully assembled
Everything the analyst needs is on one screen — including, through EyesClear Investigations, what the public records say about the counterparty you hold nothing on. The case starts from evidence, not from a search.
- 03
Capture, designed by your team
Compliance designs what a case captures, and the form goes live without a vendor change request.
- 04
The maker-checker process
The AI drafts. The analyst reviews, edits and signs. Nothing closes without that signature.
- 05
Straight to the filing
The resolved case flows into the regulatory report, fields already populated.
- 06
Remediation
New supervisory input arrives, and the relevant historical cases are re-reviewed through the same queue.
- 07
The manager’s control plane
Headline numbers drill down to the cases behind them. A remediation run is one action away.
A lookback in days, not months — through the same maker-checker queue.
The Platform in practice
Start with the solution your backlog needs
Book a demo and we will run it on your own scenarios. Live Entity Investigations is free to try for financial institutions and their regulators — five searches, nothing to integrate.