Skip to content
EyesClear

AI-native Compliance Platform

Bring efficiency to financial-crime case resolution and reporting.

EyesClear works alongside your existing providers to reduce effort and cost without forcing a platform replacement.

Turn every alert into a decision-ready case.

Resolving one takes evidence from two places: the data you hold, and the data you do not. EyesClear works both, connects the parties, assesses the risk and drafts the narrative. Your analysts review, decide and sign.

Your data and the AI never leave your perimeter — on-prem or private cloud.

Public-record enquiries go out with a name only — never a customer file.

A focused demo using your scenarios · Investigations is free

One queue · every source5 open
  • MONITORING

    EC-4471

    HIGH
  • SCREENING

    EC-4470

    MED
  • KYC REVIEW

    EC-4469

    LOW
  • ONBOARDING

    EC-4468

    HIGH
  • AUDIT

    EC-4467

    MED

Evidence assembled · entities resolved · narrative drafted


Awaiting the analyst’s signature

One queue · complete evidence · human sign-off

Proven in live banking environments

9
years in continuous production
7
banking clients live
5+
markets in production
10,000
transactions per second

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. 1

    Rules-based collection

    Transactions, customer records and internal data — and, through EyesClear Investigations, the public record on the counterparty you hold nothing about. Gathered by rules you set, so every step is repeatable and auditable.

  2. 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. 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.

What that is worth

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 comes out of every case — whether EyesClear runs the operation or works alongside what you already have.


The platform in full →Where the efficiency comes from →

Why EyesClear is different

Key distinguishing characteristics

Every vendor has AI narratives now. The real question is where the AI runs, and who makes the decision.

Your data never leaves the building

AI value without data-export risk.

Security & LLM governance →

Apply new typologies to history — overnight

Regulatory response measured in days and weeks, not quarters.

AML remediation →

Zero-assembly deployment

Faster time-to-value and no integration issues.

Platform overview →

Analyst empowerment, with human approval on every close

Operational efficiency with control, and a clear audit trail.

The services →

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 one platform 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

Half the evidence was never yours

Raising an alert is the easy part. The cost sits downstream: investigators wait on slow queries, then hand-write each SAR/ŞİB 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 the data you hold and, through EyesClear Investigations, the public record you do not. The analyst decides and signs.

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 ten workstreams, usually spread across five to ten systems, each with its own data, queues and reports. See how EyesClear consolidates them →

One platform 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.

  1. 01

    The consolidated queue

    Alerts from every source system land in one place. One queue instead of five logins.

  2. 02

    The case, fully assembled

    Everything the analyst needs is on one screen — including, through EyesClear Investigations, what the public record says about the counterparty you hold nothing on. The case starts from evidence, not from a search.

  3. 03

    Capture, designed by your team

    Compliance designs what a case captures, and the form goes live without a vendor change request.

  4. 04

    The maker-checker process

    The AI drafts. The analyst reviews, edits and signs. Nothing closes without that signature.

  5. 05

    Straight to the filing

    The resolved case flows into the regulatory report, fields already populated.

  6. 06

    Remediation

    New supervisory input arrives, and the relevant historical cases are re-reviewed through the same queue.

  7. 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

See a case resolved end to end

A short demo on your own scenarios — the alerts, typologies and reports you actually work with.