Nadine Thompson, Founder & CEO
Enterprise AI, data science and ERM leadership spanning Treasury, liquidity, capital, stress testing and governed decision systems.
ERMAIGE is the vendor-neutral enterprise risk interoperability, capacity and decision-assurance layer for organizations with fragmented risk ecosystems.
ERMAIGE is building an operating layer intended to connect fragmented risk truth, determine decision-effective enterprise capacity and preserve the evidence behind consequential action.
The founders combine enterprise AI and data science, enterprise risk management, Treasury and liquidity, prudential supervision, stress testing, risk modelling and implementation experience. That practitioner perspective informs ERMAIGE's independently developed technology, methods and operating discipline.
Enterprise AI, data science and ERM leadership spanning Treasury, liquidity, capital, stress testing and governed decision systems.
Enterprise and financial risk leadership spanning prudential supervision, stress testing, credit and market risk modelling, regulatory capital and ERM platform implementation.
Centralize understanding, not necessarily all data. Preserve field-level authority. Establish deterministic baselines before advanced models. Match cadence to source reality. Keep accountable humans responsible for material decisions. Publish claims only when evidence supports them.
Put ERMAIGE to work
Reconstruct the exposure. Test the capacity to act. Build a defensible decision record that preserves the whole picture.
One decision · traced end to end
Collect and verify authoritative inputs.
Rebuild the decision context and dependencies.
Outcome validated against tested capacity.
Source authority preserved
Approved custody boundaries respected
Human accountability retained