Cases built from scratch
Every investigation starts on a blank screen. The investigator pulls the signal trail, the linked accounts, and the history by hand before the real work begins.
Every court order is a deadline. Every case is a risk
EscalationX clears the queue for you — it works the cases, answers the legal mail, and logs every step for audit. Every request left waiting is a missed deadline or an unmanaged exposure; now none of them wait.
Detecting fraud is half the job. Acting on it is where compliance teams drown
A risk engine raises the flag in milliseconds. The response still moves at human speed, through inboxes and spreadsheets. Alerts fire at API speed; cases close at human speed.
LEA requests by email, in volume
Freeze orders, lien notices, and information requests arrive unstructured in the nodal officer's inbox, each one read and actioned by hand, against the clock.
Detection and action don't talk
The system that raises the alert and the system that works the case are separate. Context gets re-gathered at every step of the handoff.
Audit trail assembled after the fact
When the regulator asks how a decision was made, the answer has to be reconstructed from scattered records long after the event.
The detection got faster. The response didn't. EscalationX closes that gap.
ScreenX reads every one of themAn AI agent builds the case. Your team reviews it
EscalationX sits between detection and action. When an account is flagged, by internal policy, an adverse-media hit, or an external record such as an I4C reference, an AI agent does the assembly work automatically, then routes the case to the right hands. It works in three steps.
Assemble
The agent gathers the signal trail, the linked accounts, the external records, and the risk rationale into a single case file, built, not blank, the moment an account is flagged.
Triage
Each case is classified by type and severity, so high-priority financial-crime cases reach an investigator first and routine ones follow the right workflow automatically.
Act
For law-enforcement requests, the agent reads the email, extracts the entities, identifies the action demanded, and executes or routes it, every step logged to a full audit trail.
Two capabilities, one operations layer
Every case carries the intelligence that raised it. Escalation isn't a separate case-management tool bolted onto your stack — it works from the same unified customer graph that ScreenX and Cortex score against.
So when a flag becomes a case, the device, behavioural, network and location evidence behind it is already attached. Linked accounts are mapped, fraud-ring connections are visible, and nothing is re-gathered in the handoff from detection to investigation.
Enhanced Due Diligence
LEA Automation
Built on Shared Evidence
Everything Escalation returns on every flag
One worked case, and the full context behind it — structured for your team to act on and your regulator to read.
A pre-built case file
Signal trail, linked accounts, external records and risk rationale — assembled and ready before an investigator opens it.
A classified LEA action
The request read, entities extracted, action identified — freeze, lien, debit-freeze or information request — and routed.
Triage & severity
Each case typed and ranked by severity on your thresholds, so the highest-priority cases reach an investigator first.
Linked-account mapping
The network around a flagged account — the accounts, devices and numbers connected to it — so a single case can surface a whole ring.
A full audit trail
Every step, every decision and every action logged and attached, so any outcome is defensible to a regulator later.
Watched continuously. Proven in production
Findings from a live fraud-ring analysis across a personal-loan onboarding journey, and from monitoring deployments across BFSI.
6.01%in organised fraud rings
Of users found to belong to organised fraud rings in a single week of live traffic (NBFC analysis).
40%of rings on a single device
A clear, high-ROI rule for device-based monitoring.
70%+of fraud in the top 4% of devices
The highest-value targets to watch.
503distinct fraud rings surfaced
From 69,646 numbers in one analysis window, patterns invisible account by account.
60+rules in the scoring engine
Driving low / step-up / block decisions automatically.
<200msp95 decisioning latency
So monitoring never adds friction for genuine customers.
Four workflows, one operations layer
Everything that happens after an alert is raised, from building the case to acting on it, handled in one place — so nothing falls through on a deadline.
Enhanced due diligence
Auto-assembled cases for internally flagged, adverse-media and I4C-referenced accounts — the investigator starts from a built file, not a blank one.
Law-enforcement requests
Email freeze, lien, debit-freeze and information requests read, classified and routed automatically — with an audit trail on every action.
Fraud-ring investigation
Linked-account mapping turns a single flagged account into the full network behind it, ready to work as one case.
Regulator & audit readiness
Every case and action logged end to end, so the question “how was this decided” always has a documented answer.
Detecting fraud is half the job. Acting on it is where compliance teams drown
A risk engine raises the flag in milliseconds. The response still moves at human speed, through inboxes and spreadsheets. Alerts fire at API speed; cases close at human speed.
Cases built from scratch
Every investigation starts on a blank screen. The investigator pulls the signal trail, the linked accounts, and the history by hand before the real work begins.
LEA requests by email, in volume
Freeze orders, lien notices, and information requests arrive unstructured in the nodal officer's inbox, each one read and actioned by hand, against the clock.
Detection and action don't talk
The system that raises the alert and the system that works the case are separate. Context gets re-gathered at every step of the handoff.
Audit trail assembled after the fact
When the regulator asks how a decision was made, the answer has to be reconstructed from scattered records long after the event.
The detection got faster. The response didn't. EscalationX closes that gap.
ScreenX reads every one of themAn AI agent builds the case. Your team reviews it
EscalationX sits between detection and action. When an account is flagged, by internal policy, an adverse-media hit, or an external record such as an I4C reference, an AI agent does the assembly work automatically, then routes the case to the right hands. It works in three steps.
Book a demoAssemble
The agent gathers the signal trail, the linked accounts, the external records, and the risk rationale into a single case file, built, not blank, the moment an account is flagged.
Triage
Each case is classified by type and severity, so high-priority financial-crime cases reach an investigator first and routine ones follow the right workflow automatically.
Act
For law-enforcement requests, the agent reads the email, extracts the entities, identifies the action demanded, and executes or routes it, every step logged to a full audit trail.
Two capabilities, one operations layer
Every case carries the intelligence that raised it. Escalation isn't a separate case-management tool bolted onto your stack — it works from the same unified customer graph that ScreenX and Cortex score against.
So when a flag becomes a case, the device, behavioural, network and location evidence behind it is already attached. Linked accounts are mapped, fraud-ring connections are visible, and nothing is re-gathered in the handoff from detection to investigation.
Enhanced Due Diligence
LEA Automation
Built on Shared Evidence
Everything Escalation returns on every flag
One worked case, and the full context behind it — structured for your team to act on and your regulator to read.
A pre-built case file
Signal trail, linked accounts, external records and risk rationale — assembled and ready before an investigator opens it.
A classified LEA action
The request read, entities extracted, action identified — freeze, lien, debit-freeze or information request — and routed.
Triage & severity
Each case typed and ranked by severity on your thresholds, so the highest-priority cases reach an investigator first.
Linked-account mapping
The network around a flagged account — the accounts, devices and numbers connected to it — so a single case can surface a whole ring.
A full audit trail
Every step, every decision and every action logged and attached, so any outcome is defensible to a regulator later.
Watched continuously. Proven in production
Findings from a live fraud-ring analysis across a personal-loan onboarding journey, and from monitoring deployments across BFSI.
6.01%in organised fraud rings
Of users found to belong to organised fraud rings in a single week of live traffic (NBFC analysis).
40%of rings on a single device
A clear, high-ROI rule for device-based monitoring.
70%+of fraud in the top 4% of devices
The highest-value targets to watch.
503distinct fraud rings surfaced
From 69,646 numbers in one analysis window, patterns invisible account by account.
60+rules in the scoring engine
Driving low / step-up / block decisions automatically.
<200msp95 decisioning latency
So monitoring never adds friction for genuine customers.
Four workflows, one operations layer
Everything that happens after an alert is raised, from building the case to acting on it, handled in one place — so nothing falls through on a deadline.
Enhanced due diligence
Auto-assembled cases for internally flagged, adverse-media and I4C-referenced accounts — the investigator starts from a built file, not a blank one.
Law-enforcement requests
Email freeze, lien, debit-freeze and information requests read, classified and routed automatically — with an audit trail on every action.
Fraud-ring investigation
Linked-account mapping turns a single flagged account into the full network behind it, ready to work as one case.
Regulator & audit readiness
Every case and action logged end to end, so the question “how was this decided” always has a documented answer.