AI-native Compliance Platform
Turn every alert into a decision-ready case.
EyesClear gathers the evidence, connects the related parties, scores 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.
A focused demo using your scenarios
MONITORING
EC-4471
HIGHDraftedSCREENING
EC-4470
MEDDraftedKYC REVIEW
EC-4469
LOWAuto-closedONBOARDING
EC-4468
HIGHDraftedAUDIT
EC-4467
MEDIn review
Evidence assembled · entities resolved · narrative drafted
Awaiting the analyst’s signature
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
Rules-based collection
Transactions, customer records, internal data and open-source intelligence, 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.
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.
A full-platform deployment targets a 30% efficiency gain; alongside existing systems, 10–15%.
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.
Apply new typologies to history — overnight
Regulatory response measured in days and weeks, not quarters.
Analyst empowerment, with human approval on every close
30%+ operational efficiency with control and a clear audit trail.
The problem
Most compliance spend buys process, not outcomes
Financial-crime compliance is one of the largest cost centres in any bank. Three problems drive the bill.
Compliance is trapped as overhead
Compliance holds the richest behavioural data in the bank — customer activity, networks, transaction patterns. It stays locked in detection dashboards and never reaches Treasury, Operations or Audit.
Multi-vendor sprawl drains value
A typical bank runs five to ten point solutions, each owning a slice of the work. They are expensive to integrate, slow to change, and no single vendor owns the outcome.
The resolution gap
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. Changing a rule takes a vendor project.
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 team, ten workstreams, and no single system that owns the outcome.
Why now
Key Change Drivers
- Regulators now expect immediacy
- Detection as activity happens, and complete evidence retrievable on demand.
- ISO 20022 and the data transition
- The migration rewards banks that can act on complete context, and penalises those still stitching fragments together.
- Typology churn
- Fraud patterns change faster than annual change-request cycles absorb. Re-rating history in hours is becoming a control expectation.
- AI is ready — governance is the gate
- AI can remove compliance effort, but only if every output is explainable, traceable, analyst-controlled and never exported.
AI is ready. Governance is the gate — and that is what EyesClear was built for.
The answer
Three problems. Three answers.
One answer to each problem below using a single platform.
Compliance trapped as overhead
A compliance data fabric
The behavioural data you already assemble becomes an institutional asset, connected to the systems you run rather than locked in a dashboard.
Multi-vendor sprawl
One platform in place of five to ten
Detection, case management and reporting arrive together on that fabric. One vendor owns the outcome.
The resolution gap
AI that closes cases, under human control
The AI assembles, analyses and drafts. The analyst decides. That is where the hours go today, and where they come back.
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. 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
See a case resolved end to end
A short demo on your own scenarios — the alerts, typologies and reports you actually work with.