Six stages. The last three are the ones nobody else runs.
IO is deliberately unremarkable in the first three stages, connecting, correlating and recommending is table stakes. What changes the conversation is that the prescribed action becomes accepted, owned work, the measure is captured before it starts, and the measure gets checked afterwards.
Signal in, executed work out, verified either way.
Connect
Connectors into the systems you already run. No agents on endpoints, no rip-and-replace, no new source of truth to maintain. IO holds read-only credentials and never writes to your systems. Where IO's output triggers action, that action is performed by your automation, under your credentials, subject to your existing approvals.
A live picture assembled from systems that were never designed to talk to each other.
Correlate
Signals from separate systems are resolved against each other, the same person, the same asset, the same supplier, matched across sources rather than inferred.
One picture of where the organisation is actually exposed, not a list of everything that fired.
Interpret
The correlated picture is read against organisational context, maturity, headcount shape, regulatory obligation, what you tried last quarter. The right intervention at the wrong maturity fails.
A ranked view of what matters in this environment, with the reason it ranks where it does.
Prescribe
IO matches the exposure to a playbook and gates it. If the prerequisites are not in place, the playbook is withheld and the prerequisite is prescribed instead.
A short queue of next actions the organisation can genuinely execute this week.
Execute
Knowing what to do and doing it are two different problems, and most programmes fail in the gap between them. Nothing proceeds until a named person accepts the action. On acceptance it becomes tracked work with an owner and a due date, the playbook steps guide how it is done in order with their prerequisites, and work whose prerequisites are not met is blocked with the reason shown rather than quietly dropped. The work arrives where the owner already works instead of requiring another console. The verification measure is captured at that moment, before any of the work starts.
Tracked, owned work with a baseline recorded against it, the object the next step measures.
Verify
The measure captured when the action was accepted is taken again from the same source, over the same population. Improvement, no change, or regression, reported either way. Because it re-measures the signal that started the sequence, the loop closes rather than ending at an outcome.
Evidence, including the uncomfortable kind.
What the first ninety days actually look like.
No transformation programme. Connect a handful of systems, pick one domain, and get one verified result.
Connect identity, email and one work-tracking system. IO establishes the baseline picture.
Pick one domain. Approve two or three playbooks with their verification measures attached.
Execute, re-measure, and take the first verified result, good or bad, to the leadership team.
See it before you talk to anyone.
Two quarters of recorded activity across sixteen seats. One click, no install.