SupTech for central banks
Central banks have moved AI from pilots to production fast. The harder part now is governance: showing how AI-assisted supervision behaves. Line4 puts AI inside the supervisory workflow with deterministic rules and an evidence trail, so speed and accountability arrive together.
What central banks need from SupTech
- 01
Prudential and statistical data, validated at source
Returns in XBRL, Excel or CSV checked as they land, with a structured model ready for granular, API-based collection.
- 02
AI with governance built in
AI reads; deterministic rules decide; every finding traces to its data and rule, so model risk and AI governance can be evidenced.
- 03
Cost that scales down
Start with one workflow on your own infrastructure, prove it in weeks, then extend, instead of a multi-year platform programme.
Proven in production
Four systems in six months at an international regulator
AML supervision intelligence, enforcement case management, a prudential submissions portal with real-time validation, and an incumbent vendor platform replaced. Competitors quoted eighteen months.
Who it is for: Banking supervision departments, Statistics and data functions, AML/CFT supervision units, Enforcement and legal teams.
Read the case study →Questions
Can Line4 run inside our own environment?
Yes. Our engineers work inside your environment and security perimeter, under your governance.
How does Line4 help with AI governance?
AI does the reading, deterministic rules make the calls that must be repeatable, and every finding is traceable to its data point and rule, which gives your model risk and audit functions something concrete to review.
Do you support statistical as well as supervisory data?
The platform collects structured returns in XBRL, Excel and CSV and stores them in a structured model. We shape statistical collections to your framework with you.