Platform overview
AI powered AML compliance platform for case resolution
EyesClear is where a bank consolidates its alerts and analysis needs and resolves them. Rules collect the evidence — from the bank’s own systems, and from the public records outside them through EyesClear Investigations. AI analyses it and drafts the narrative, and an analyst decides and signs. The confirmed outcome flows back into the bank’s systems without re-keying.
01 The consolidation
Anything that needs a decision arrives in one queue
Compliance work spans ten workstreams, usually spread across five to ten separate systems, each with its own data, queues and reports. EyesClear takes everything that needs investigating and puts it in one place.
Customer onboarding
CDD and risk scorecards
Sanctions screening
Names, PEP lists, payments
Transaction monitoring
Real-time and fraud signals
AML monitoring
Typologies, alerts, tuning
Periodic KYC reviews
Ongoing and event-driven
Alert investigation
Case work, SAR drafting
Regulatory reporting
SAR/STR, CTR, CRS/FATCA
Compliance controls
QA, testing, four-eyes
Risk assessment
Enterprise-wide, at least annual
Training and audits
Staff awareness, examinations
Any of these can raise a case
- A transaction-monitoring alert
- A sanctions or name-screening hit
- A KYC review falling due
- An onboarding scorecard breach
- A control or audit finding
One queue instead of five logins.
02 The five stages
Every case moves through the same five stages
- Input
A case is raised
An alert or analysis request arrives from any bank system.
- Collect
Evidence is gathered
Rules collect the approved internal and external data.
- Analyse
AI prepares the case
AI summarises, triages, resolves entities and drafts the narrative.
- Decide
An analyst decides
The analyst reviews, edits and signs. Nothing closes automatically.
Human approval
- Output
Action flows back
The authorised outcome returns to bank systems without re-keying.
AI is the maker. Your analyst is the checker. Every final action requires a human decision.
Three of those stages are where the Platform does the work.
Rules-based collection
The Platform gathers the evidence by rules, so every step is repeatable and auditable. Two sources, because an alert needs both: the bank’s own transactions, customer records and internal data, and — through EyesClear Investigations — the public records on the counterparty the bank holds nothing about.
AI analysis
The AI summarises and triages that evidence, maps the entity network and drafts the narrative. The risk is visible at a glance.
Human decision
The analyst reviews, decides and signs. AI is the maker; the analyst is the checker.
03 The outcome
Then the decision flows onward, without re-keying
- Back to the raising system
- The system that raised the alert gets the disposition. No re-keying, no second queue.
- Straight into regulatory reporting
- A confirmed case flows into the filing, fields already populated from the case record.
- Protective action in the bank
- Account holds, information requests and customer outreach — each on a human’s sign-off, every action logged to the case file.
Each executed only on a human’s sign-off, with every action logged.
04 Oversight
Maker-checker governs the case. This governs the operation.
Every case is signed by an analyst. The compliance manager gets a control plane over the whole operation — and can act on what it shows without raising a project.
- A view across the whole population
- Volumes and ageing, risk concentrations, analyst throughput, outcomes by source system, with AI-supported views that surface risk and efficiency opportunities. Every headline number drills down to the cases and the evidence behind them.
- Remediation, straight from the dashboard
- When the digging surfaces a gap — a missing typology, an under-alerted segment or period — the manager triggers a remediation run there and then. The cases flow into the same maker-checker queue. No project, no vendor statement of work.
- Scheduled reports to the inbox
- Case ageing, SLA positions, alert volumes, remediation progress — delivered automatically at the cadence you choose. Oversight does not depend on logging in, and the pack is always exam-ready.
Oversight that turns into action, and a pack that is always exam-ready.
Management oversight and control
05 What sets it apart
Key distinguishing characteristics of the Platform
Four properties that follow from running the Platform inside the bank rather than beside it.
Your data never leaves the building
AI value without data-export risk.
The Platform, and all AI inference with it, runs on the bank’s own infrastructure — on-premise or private cloud. Nothing is exported to a cloud service or a third-party vendor.
Apply new typologies to history — overnight
Regulatory response measured in days and weeks, not quarters.
New guidance lands, or a new pattern emerges. You update the typology, re-run it across the entire transaction history that night, and review the new alerts the next morning. No vendor statement of work, no scoping documents, no multi-month project.
Zero-assembly deployment
Faster time-to-value and no integration issues.
Detection, case management and reporting arrive as one platform on a single data fabric — not a detection engine with a case system bolted on afterwards. The fabric connects to the warehouses and lakes you already run, so there is no new data-lake programme.
Analyst empowerment, with human approval on every close
Operational efficiency with control, and a clear audit trail.
The AI drafts narratives and assembles evidence. Compliance officers edit rules and typologies directly. Every AI output still traces back to source and needs an analyst’s approval before it counts.
AI value without data-export risk, and a regulatory answer in days rather than quarters.
What sets the Platform apart
Try it on a name you already know
Investigations is free for financial institutions and their regulators — five screenings to start, nothing to integrate. Or book a demo and we will run the Platform on your own scenarios.