Not just tickets
It tells you what the proposed change may impact, across services, data, tests and releases.
Change Intelligence for complex software products
What happens if we change this?
One change. Every impact. Before you build.
From change request to decision ready impact analysis. ImpactOS maps the dependencies, evidence, uncertainty and required approvals behind a proposed software change before implementation.
Understand what a change can impact, how confident the evidence is, and whether the organisation is ready to decide. It is decision support for faster, safer enterprise change, so critical impacts still need human validation.
The demo scenario opens without an account and uses synthetic data only.
What a decision maker sees
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
ImpactOS is not a repository of artefacts. It is a decision intelligence platform for enterprise change, built for teams under innovation and time to market pressure.
Work trackingtells you what is being built.
Documentationtells you what is known.
Software catalogstell you what exists.
ImpactOStells you what happens if it changes.
What makes this different?
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.
ImpactOS moves change management from scattered artefacts to decision intelligence.
The goal is to reduce blind spots, unblock decision making and protect time to market, while keeping the human determination explicit in an era of AI assisted delivery.
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.
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.