Structured matrix logic
Likelihood and consequence anchor a consistent heatmap that supports comparison and prioritisation across teams.
Positioning
Power BI is the core. Python agents are an optional enhancement.
The primary product is a Power BI-native risk visualisation layer for reporting, governance, and prioritisation.
An optional Python agents layer can support summary, prioritisation, and recommendation drafting once visibility is established.
What guides the product
Structure, clarity, and credible reporting.
Governance-ready output
Designed for executives, committees, and audit forums — not raw register dumps.
Microsoft ecosystem fit
Sits inside Power BI workspaces and Microsoft 365 access models institutions already trust.
How it helps
From fragmented registers to a decision-ready view.
VantiRisk shifts spreadsheet-heavy reporting into a visual model that surfaces concentration, severity, and priority at a glance — useful when cyber, compliance, and operational risk must be discussed across technical and non-technical audiences.
The objective is decision efficiency: fewer slides, clearer conclusions, defensible structure.
Practical value
Built for reporting moments where clarity affects action.
Steering meetings, cyber reviews, audit committees, and executive briefings — the moments where exposure and priority must be communicated with confidence.
Where extra analysis support helps, the optional Python agents layer can accelerate summary and recommendation drafting after the visual reporting foundation is in place.
Next step
Strengthen reporting credibility before adding complexity.
Start with clearer Power BI risk visibility, then extend into optional AI-assisted support where it adds practical value.