Case study · An international financial regulator
Four supervisory systems in six months. Others quoted eighteen.
How Line4 engineers bridged a regulator's existing Power Platform estate with AI-native engineering, inside its governance framework.
The challenge
Core supervisory functions, from AML oversight and enforcement to prudential submissions, ran on disconnected legacy systems, manual Excel workflows and an expensive vendor platform with slow change cycles.
The regulator had invested in Microsoft Power Platform but needed the engineering capability to extend it with modern, AI-native approaches, without stepping outside its governance framework. Traditional consultancies quoted eighteen months.
Four workstreams, in parallel
AML supervision intelligence
Before: Years of AML supervision data locked in unstructured Excel templates.
- An AI pipeline inferred structure from messy templates and unlocked the history.
- Regulator-ready analytics and a supervisor chatbot, used for the FATF mutual evaluation.
- Now live, with self-serve insight for analysts.
Legacy vendor replacement
Before: An expensive vendor platform with slow change cycles.
- Rebuilt end to end on the regulator’s existing Power Platform estate, with AI-native extensions.
- Business analysis to production, led entirely by Line4 engineers.
- Full code ownership for the regulator, with no vendor lock-in.
Enforcement case management
Before: Enforcement cases run on email and spreadsheets.
- Secure case management designed specifically for regulatory enforcement.
- Integrated with Outlook, Teams and DocuSign.
- Kickoff to MVP in production in under three months.
Prudential submissions portal
Before: Insecure, macro-driven Excel submissions and a key-person dependency.
- A secure web portal for regulatory submissions.
- Real-time validation removed the key-person dependency.
- Now moving to an API-first platform for Excel-free submissions.
How we deployed
Embedded from day one
Each team worked inside the regulator’s own environment and governance, alongside supervisory staff, before writing a line of code.
Extend, do not rip out
The regulator had invested in Microsoft Power Platform. We extended and modernised that estate with AI-native capabilities rather than replacing it.
AI in how we work
Agentic AI accelerated every workstream, from parsing unstructured supervision data to generating validation logic.
Four streams in parallel
Four dedicated teams ran four workstreams concurrently, each with its own backlog, release cycle and path to production.