CORE App is designed for executives and risk teams who need a practical, modern framework to make better decisions in fast-moving, uncertain environments.
Signal over noise
Move beyond static heat maps and watch risk trajectories in real time.
Causal clarity
CCORD reveals the decision window and causal boundary for each material risk.
Integrated governance
Designed to augment existing frameworks, not to replace them.
The platform is anchored in a practical decision process: identify the top risks, quantify their momentum, map them on the causal frame, and use the results to direct resources where they will make the most difference.
Built for executives
Makes risk decisions auditable, directional, and board-ready.
Designed for teams
Supports risk, finance, operations and sustainability with a single shared view.
Three-tier reporting delivery based on one data model: executive dashboard, management analysis, and specialist analytics. This section mirrors the prototype reporting logic and presentation style you provided.
| Component | Value |
|---|---|
| Likelihood L | 1.00 |
| Impact I | 9.33 |
| Velocity V | 0.90 |
| Amplification A, alpha | 2.5, 0.15/wk |
| Propagation ratio v/v_max | 0.85 |
| Inherent TTS | 89.5 |
Inside the action horizon, prevention actions remain optional and low-cost. In predictability space, reversible hedges dominate. Beyond recovery horizon, governance shifts from prevention to restoration speed and capital efficiency.
| Horizon | Range |
|---|---|
| Action | 0-2 months |
| Predictability | 2-7 months |
| Recovery | 7-16 months |
TTS(t) = { [L~(t) x I~(t) x V~(t) x (1 + A~ x exp(alpha~ x t))]
/ sqrt(1 - (v~(t)/v_max)^2) } x [1 + beta x (psi~/psi_c)^gamma]
L~(t) ~ Beta(5,15)
I~(t) ~ Normal(8.5, 0.8^2)
TTI~ ~ LogNormal(2.7, 0.3^2), V~ = 1/TTI~
A~ ~ Triangular(1.0, 1.5, 3.0)
alpha~ ~ Normal(0.08, 0.02^2)
v~(t) ~ Beta(2,8) x 1.0
psi~(t) = sum(w_i x R~_i(t))