ImpactOS Personal
Career, wealth and the decisions that connect them.
Change Intelligence for complex software products
Decide before you build.
ImpactOS turns an intention, a change or a career move into impacts, evidence, risks and next actions.
One change. Every impact. Before you build.
- No account needed for the personal diagnostic.
- The demo scenario opens without an account and uses synthetic data only.
- No payment
Two ways to use ImpactOS
Same engine, two audiences. Pick the universe that matches your situation and land on the family that fits.
ImpactOS Enterprise
Understand a change before the organisation commits to it.
How it works
- 1
Add the context
A change request, a document or an ambition. On the personal side nothing is sent by default.
- 2
Get the impacts and the points to clarify
What moves, what carries risk, what the evidence supports and what nobody has answered yet.
- 3
Act with a short plan
One priority action, the proof still missing and a sequence for the next seven days.
What happens if we change this?
Synthetic example, Northstar Labs and Project Atlas- Change
- Billing API invoice payload update
- Decision Readiness Score
- 82 of 100, needs review
- Impacted objects
- 12
- Critical risks
- 3
- Unknowns
- 2
- Approvals required
- 4
- Decision Pack
- Ready to share
What a decision maker sees. ImpactOS is not a repository of artefacts. It is decision intelligence for enterprise change, and it stays decision support, not a guarantee.
View demo scenarioWhere ImpactOS fits
Work tracking
tells you what is being built.
Documentation
tells you what is known.
Software catalogs
tell you what exists.
ImpactOS
tells you what happens if it changes.
What makes this different?
Not just tickets
It tells you what the proposed change may impact, across services, data, tests and releases.
Not just documentation
It connects evidence to the decision that depends on it, with the excerpt and the source kept in view.
Not just a graph
It exposes unknowns, confidence and the approvals still outstanding, instead of drawing a tidy picture.
Not magic automation
Analysis proposes and a person decides. Human validation stays explicit and recorded.
What you get
Evidence backed blast radius
Every impacted object states the relationship path that reaches it, the source evidence behind that path, and the reasoning that produced its severity.
Uncertainty and knowledge health
Unknowns, missing sources, stale evidence, conflicts and duplicate objects are shown as first class results, not hidden behind a single number.
Governed human approval
Analysis proposes. Reviewers accept, modify, reject or ask for evidence, and the required gates must clear before a change is treated as ready.
Decision memory and auditability
Context, rationale, assumptions and revisit triggers stay attached to the decision, and every analysis version remains queryable after recompute.
Ready to see it on your own situation?
Run the personal diagnostic in a few minutes, or walk through the enterprise demo on synthetic data.
Give feedback or request private beta access
Two minutes. It shapes what gets built next, and nothing you send here is used as demo content.