Surveillance brings customer data, screening and adverse media, documents, transaction behaviour, workflow and AI-assisted investigation into one regulator-ready platform — so your analysts spend less time gathering evidence and more time making risk decisions.
Context pre-assembled and AI-assisted. Analysts make the call.
Your policy runs the workflow, with QA gates and a full audit trail.
Millions of entities, one consistent standard across every team.
Modern EDD requires investigators to bring together broader risk context, stronger evidence, consistent review standards and greater management oversight — often across fragmented systems and jurisdictions.
In alert-centric review, KYC / CRM, screening, transaction monitoring, documents, external intelligence and case history are reviewed in isolation across systems. With Surveillance, the same signals — customer context, screening, transaction activity, documents, external intelligence and case history — are linked to one entity-centric investigation record.
Six stages, one structured case file. Customer data, alerts, documents and intelligence go in; a risk assessment, evidence and narrative come out — ready for review, escalation or submission.
Audit-ready case file
Trigger & sourceWhy and how the case opened
Entity profileOne resolved view of the entity
Risk signalsBehaviour and exposure
Evidence baseFindings structured and tagged
Review & QA logEvery approval and override
Case outcomeReport and escalation packA proprietary risk-intelligence stack, configured by geography, source, category and risk appetite. Any other data feed you rely on plugs into the same stack, and every source stays attached to the investigation it informed.
Third-party, internal or client sources
Intelligence sources
Adverse Media
Sanctions Lists
PEP Intelligence
Government, NGO & Regulatory
Corporate Registries
Offshore Leaks
Bring any other feed. Third-party, internal or client data integrates seamlessly into the same stack, with the same source traceability.
Within Surveillance, Context Engine reads each adverse-media result against the entity’s profile and geography — separating genuine adverse media from coincidental name matches and irrelevant mentions before an analyst reviews the alert.
Analysts retain judgement. Context Engine removes noise before review; every disposition and its rationale remain available for analyst review, override and QA.
Most AI investigation tools stop at generating the case write-up. Surveillance combines investigation, workflow, quality control and audit in one system — from intake to escalation.
Set what is searched, how matches are prioritised and which review and QA steps follow — by jurisdiction and business line.
AI summarises, translates and drafts narratives, while workflows, QA gates and a full audit trail keep every decision regulator-ready.
Start as a standalone investigator workbench, then connect your screening, data and intelligence providers — or run it headless inside your own systems.
Millions of entities and high investigation volumes, without compromising performance or control. Case studies are drawn from anonymised client deployments across banking, insurance and centralised investigation teams.
A single screening and monitoring environment standardised investigation processes across business units and jurisdictions while improving access to relevant local-news coverage.
Global search, reusable evidence and structured workflows reduced duplicated research and supported more consistent investigation execution across teams.
Secure bulk ingestion, APIs, configurable thresholds, RBAC, SSO and evidence capture supported the transition from the legacy screening environment.
Production screening capability supporting large-scale onboarding and ongoing monitoring.
Deployment, decision control, oversight and evidence — answered briefly. For detail specific to your estate, speak with the team.
Talk to an FCC SpecialistNo. Surveillance can operate as a standalone investigation environment or integrate with your existing screening, data and intelligence providers and your CDD, transaction-monitoring and case-management architecture — through APIs, batch integration, events and data exports. There is no rip-and-replace requirement.
No. AI can assist with contextualisation, deduplication, classification, summarisation, translation, decision support and narrative generation. The investigator retains review and override capability, and the final compliance decision remains under human control.
Yes. Sources, taxonomies, PEP definitions, matching thresholds, lookback periods, monitoring frequency, review gates, escalation rules and SLAs can be configured around institutional policy.
Investigations can be initiated through onboarding, periodic review, event-driven alerts, new adverse media, PEP-status changes, connected-system events or investigator-led review.
The risk-intelligence layer covers 98 languages with translation support. Original source material and provenance remain linked to the investigation for review and traceability.
Source material, findings, rationale, disposition history, reviewer actions, workflow events and supporting evidence remain linked to the case, with structured evidence outputs available for review and downstream use.
Surveillance can be deployed in days using the data you already have. Integration across your screening, data, intelligence and case-management systems can then be extended over time, at the pace your programme sets.
Centralised case ownership, tasking and lifecycle tracking, together with embedded review steps and QA gates, give managers visibility of investigation quality, workload and SLAs across teams and regions.
.svg)
