Guide · By Jess Harris
SupTech use cases
Twelve ways financial supervisors use technology today, across the supervisory data lifecycle: collect, check, read and act. Where Line4 runs it in production, we say so.
Collect
Validated digital data collection
Returns arrive through a secure portal or API in XBRL, Excel or CSV and are validated as they land.
Line4 in productionGranular, API-based collection
Supervisors pull underlying transaction or instrument data and derive the views they need, rather than waiting for templates.
Industry pattern
Check
Automated validation and plausibility checks
Deterministic rules test completeness, internal consistency and plausibility against history and peers, the same way every time.
Line4 in productionStructuring legacy data with AI
AI infers structure from years of inconsistent spreadsheets so historical returns can be analysed alongside new ones.
Line4 in production
Read
AI review of documents and narrative filings
AI reads reports, attachments and narrative disclosures at volume and surfaces what needs a supervisor, with evidence linked.
Industry patternPlain-language querying of supervisory data
Supervisors ask questions of their own data in plain language, with answers that link back to the source.
Line4 in productionAML/CFT risk assessment of supervised populations
Risk views across banks and non-financial sectors that direct supervisory attention and support FATF mutual evaluations.
Line4 in productionEarly-warning risk indicators
Dashboards that combine returns, market data and peer comparisons to flag firms whose risk is moving.
Industry patternNetwork and connected-party analysis
Mapping ownership, directors and transactions to spot connected parties and patterns a single return cannot show.
Industry pattern
Act
Enforcement case management
Cases, evidence, decisions and sign-off together, with a full audit trail and Microsoft 365 integration.
Line4 in productionAgentic triage of submissions
AI agents triage what firms submit, test evidence against expectations and draft information requests for supervisors to approve.
Industry patternMonitoring for unauthorised activity
Scanning websites and promotions to spot firms operating without authorisation or making misleading claims.
Industry pattern