EyesClear doesn't create more alerts. It clears them.
The AI does the work. Your analysts make the decisions. Cases close faster — with a human signature on every one.
The Alert Is the Easy Part. Resolution Is Where It's Won.
Every monitoring system can generate an alert. The cost — the analyst hours, the backlog, the audit exposure — lives in everything that happens <em>after</em> it fires. That's the part most platforms hand back to your team. EyesClear's real-time, on-premise architecture is built to carry an alert all the way to a defensible close.
Most AML Systems
EyesClear
Most AML Systems
✗Stop at the alert — investigation, narrative, and closure stay manual
EyesClear
✓AI drafts the case narrative and assembles the evidence; analysts review and approve
Most AML Systems
✗Investigators wait on queries and stale, scattered data
EyesClear
✓Live, enriched data in a built-in data lake — context is there the moment the alert fires
Most AML Systems
✗AI requires cloud export or a separate vendor
EyesClear
✓AI runs private infrastructure — no data ever leaves your environment
Most AML Systems
✗Black-box scoring you can't defend to an examiner
EyesClear
✓Every AI output traceable to source, analyst-approved — a human signature on every close
Most AML Systems
✗Rule and typology changes need vendor engineers and multi-month projects
EyesClear
✓Compliance officers change rules directly and apply new typologies to history overnight
Most AML Systems
✗Buy detection, then bolt on a data lake, case management, and reporting
EyesClear
✓One platform — detection, investigation, case management, and reporting in a single data fabric
Most AML Systems
✗Alerts arrive hours or days later, after the money's gone
EyesClear
✓Alerts trigger as transactions flow
In Compliance, Timing is Everything
●
Fraud moves in seconds.
Batch systems report in hours. By then, funds are gone.
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Regulators expect immediate detection.
"We'll know tomorrow" is not an acceptable answer.
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Investigators need context now.
Not a query that takes 20 minutes to run.
EyesClear's real-time architecture means:
✓
Alerts fire as suspicious patterns emerge—not after the fact
✓
Network analysis happens during data ingestion, not as a separate workflow
✓
Your compliance team defines risk thresholds—cases only created when they decide
✓
10,000 TPS processing capacity—enough for any institution
✓
AI-generated SAR narratives from case data—analyst-reviewed before submission
Built for Compliance. Used Across the Bank.
Compliance teams came first. But once the real-time data lake was live, Treasury wanted in. Then Operations. Then Client Management. That's what happens when you finally have a single source of truth that updates in real-time.
🛡️
Compliance & AML
"Detect in seconds. Investigate in minutes. Let AI draft the narrative. Report with confidence."
✓ Real-time transaction monitoring across all channels
✓ User-defined alerting rules—no vendor dependency
✓ Case management with SAR workflow automation
✓ Apply new typologies to historical data overnight
⚙️
Operations
"Stop managing exceptions from yesterday's report."
✓ Real-time payment and settlement visibility
✓ Instant exception identification and routing
✓ SLA monitoring with proactive alerts
✓ Cross-system reconciliation in real-time
💰
Treasury
"Liquidity visibility that's actually current."
✓ Real-time cash position across all accounts
✓ Time-sensitive activity monitoring and alerts
✓ Intraday liquidity tracking and forecasting
✓ FX exposure monitoring as positions change
👥
Client Management
"Every client interaction, informed by everything you know."
✓ Client 360: unified view across all products
✓ Behavioral patterns and relationship insights
✓ Cross-sell opportunity identification
✓ Proactive service alerts before clients call
📋
Audit & Control
"Continuous monitoring, not point-in-time testing."
✓ Real-time control testing and monitoring
✓ Complete audit trails with instant retrieval
✓ Automated exception flagging and escalation
✓ Historical data access for any audit period
🌐
FI & Network Management
"Know your correspondent network in real-time."
✓ Fee reconciliation and income tracking
✓ Correspondent bank activity monitoring
✓ Network analysis for relationship optimization
✓ Volume and value trends by counterparty
Integrated AI — Safe, Effective, Defensible
EyesClear uses Large Language Models where they add real value to compliance workflows—not as a gimmick. Every AI output is traceable, validatable, and under your analyst's control.
L1 Support Chatbot
LLM-powered chatbot answers analyst questions about the platform, procedures, and compliance guidelines. Available 24/7 for your team.
Defensible
ECAgent Reporting
Chat-based agentic interface that creates user-directed reports on demand. Ask a question, get a report—no SQL, no templates, no waiting.
Validatable
SAR Narrative Generation
AI drafts Suspicious Activity Report narratives from case details. Analyst reviews, edits, and approves before submission. Every output traceable to source data.
Analyst-Controlled
✓ AI runs on-premise — no data leaves your environment
✓ AI assists, analysts decide
✓ Live in production across 8 banks
What Real-Time Architecture Enables
It's not just faster alerts. It's capabilities that would require months of project work anywhere else.
New Typology? Apply It Yesterday.
When regulations change or new suspicious patterns emerge, traditional systems face a dilemma: apply new rules going forward and hope nothing slipped through—or launch a multi-month project to reprocess historical data.
EyesClear eliminates this trade-off.
Update your detection typology today. Apply it across your entire transaction history tonight. Review new alerts tomorrow morning.
📋
No Project Plans
No scoping documents. No resource allocation meetings. No 6-week timelines just to start.
💼
No Vendor SOWs
No waiting for vendor availability. No change request fees. No contract negotiations.
⏱️
No Six-Month Timelines
Respond to regulatory changes in days, not quarters. Stay ahead of emerging threats.
Why is this possible?
Because EyesClear's architecture treats real-time and historical processing as two modes of the same engine—not separate systems bolted together. Your data lake, your rules, your enrichment logic all work identically whether processing today's transactions or last year's. Same system. Same results. Any timeframe.
Real-World Scenarios
📢
New Regulatory Guidance
Regulator issues new guidance on Tuesday. By Wednesday morning, you've scanned 3 years of history and identified 47 transactions requiring review.
🔍
Emerging Fraud Pattern
Industry alert describes new fraud scheme. Same day, you've built detection logic and confirmed whether your institution has been targeted.
📊
Audit Preparation
Examiner questions your coverage of a specific risk. Overnight, you demonstrate comprehensive detection across the entire audit period.
🎯
Rule Optimization
Compliance team refines detection thresholds. Before deployment, they validate against 12 months of data to confirm false positive reduction.
With batch systems, historical reprocessing is a project.
With EyesClear, it's a checkbox.
Sounds Familiar?
If you're working with legacy transaction monitoring, you've probably experienced some of these frustrations.
✗
Your AML alerts arrive the next morning—after the transaction cleared
✗
Every rule change requires a change request and vendor involvement
✗
You bought a "platform" but needed to add a separate data lake, case management, and reporting modules
✗
Your investigators spend more time waiting for queries than investigating
✗
Operations is making decisions on 4-hour-old data
✗
Treasury's "real-time" dashboard refreshes every 15 minutes
✗
Client Management has no single view—they check 4 systems per call
✗
Implementation was supposed to take 6 months—you're in month 14
There's a better architecture.
1000s
Transactions per second
Days
Not months to deploy
1
Platform for everything
9
Years in production
a modest fraction of
The cost of enterprise alternatives
"Best system we ever had."
— First Client, 9 years of continuous operation