How Riskonami works
Riskonami runs a structured IRAM 2.0 assessment of a named system. You
supply context and judgement. The server owns the method. Optional AI
accelerates drafting — it does not replace scores, UNKNOWN, or sign-off.
What you walk away with
One assessment produces six named downloads from a single snapshot:
executive, engineering, a control register that names vendor-held controls,
overall risk and overall compliance (these include accepted vendor answers),
and a vendor control assessment per named supplier. That is
the artefact you commission — not a chat transcript.
Nine phases, one engine
Context and impact → architecture and scope → control points → threats →
control strength → risk scores → your decisions → treatment → issued
report. The same engine will later support unattended and voice input.
Today the live product is the guided (phased) walk.
AI accelerates. Humans remain accountable.
You can run the whole assessment with AI off. When AI is on, Riskonami
uses a handful of named calls (context from your files, diagram reading,
control proposals, optional narrative). The model cannot invent phases,
set residual scores, or formally accept risk.
Free process, paid enrichment
Working the phases by hand is free. Each named AI call that actually runs
costs one token (typically two or three for a full assisted walk).
Download your reports — we do not keep server copies forever.
Ready to try it, or still deciding?
How-to lives in the docs. This page is the decision brief.