Prioritize real risk. Investigate with full context.
Unde combines your AML rules with behavioral analytics, anomaly detection, machine learning and graph analysis, so analysts spend their time on alerts that matter, with the evidence already assembled.
- HighRapid movement of funds84% of inbound funds sent out within 6h
- HighMultiple new beneficiaries5 added in 72h · 4 never paid before
- MedNew deviceDEV77 first seen 3 days ago
- MedUnusual transaction volume6.2× the 90 day daily average
- MedCross border behavior deviationFirst transfers to 2 new corridors
Activity is consistent with a pass through account pattern. Inbound transfers from two accounts sharing device DEV77 E1 were forwarded to five new beneficiaries within 6 hours E2. Volume is 6.2× the customer's baseline E3 and includes first time cross border corridors E4. KYC is current; no prior cases.
Escalate to L2 review. Request source of funds from the customer.
AI recommends. Analyst approval required.
Rules find what you defined. Intelligence finds what you didn't.
Unde does not replace your AML system. It adds behavioral, statistical and network context to the alerts it produces, and surfaces risk that single rule scenarios miss.
Rules
Your existing scenarios and thresholds, kept intact and enriched with context from every connected system.
Behavioral analytics
Each customer measured against their own history and their peer group, not a single global threshold.
Anomaly detection
Deviations in volume, velocity, counterparties, channels and geography surfaced as they occur.
Machine learning
Risk scoring trained on your outcomes to rank alerts by the likelihood that they matter.
Graph analysis
Linked accounts, shared devices and beneficiary networks discovered across the Financial Operations Graph.
Prioritized alert queue
Analysts start with the alerts that carry real risk, with fewer low value alerts to clear.
Focused on meaningful risk.
Customer behavior
- Customer behavior profiling
- Transaction anomaly detection
- Risk scoring
Network
- Network analysis
- Linked account discovery
- Device relationship analysis
- Beneficiary pattern analysis
Typologies and triage
- Money mule pattern detection
- AML alert prioritization
- False positive reduction
The investigation is drafted before the analyst opens the alert.
When an alert is opened, the AI Investigator gathers context from every connected system and prepares an investigation backed by evidence. The analyst reviews, challenges and decides.
AI gathers
- Customer profile
- Transaction history
- KYC status
- Device information
- Connected accounts
- Beneficiaries
- Historical behavior
- Relevant risk indicators
- Existing cases
AI produces
- Investigation summary
- A concise narrative of what happened, written for the analyst and the file.
- Risk factors
- Each factor with its weight and the records that support it.
- Behavior deviation analysis
- Current activity compared with the customer's own baseline.
- Connected entity analysis
- Accounts, devices and beneficiaries linked to the customer.
- Evidence
- Every source record referenced, versioned and retrievable.
- Suggested next action
- Escalate, request information or close, for the analyst to approve.
AI recommends. Humans approve.
No silent decisions
AI does not close, escalate or file on its own. Every outcome has a named approver.
Challenge built in
Analysts can reject a recommendation or request more evidence, with rationale recorded.
Filings stay human
Suspicious activity reports are drafted for review and submitted only by your team.
Patterns that only appear when entities are connected.
Examples of behavior Unde is designed to surface across the Financial Operations Graph.
Pass through accounts
Inbound funds forwarded within hours to new or unrelated counterparties.
Money mule networks
Clusters of accounts sharing devices, beneficiaries or onboarding attributes.
Beneficiary fan out
A sudden increase in new beneficiaries, often across new corridors.
Shared device clusters
One device accessing multiple customer accounts with no declared relationship.
Structuring
Amounts split to stay below reporting or monitoring thresholds.
Give your analysts the full picture.
See how Unde connects to your existing systems, investigates alerts and incidents with full context, and keeps every decision auditable.