What are we spending, and on what?
Technology spend tracked by contract purpose, with total cost of ownership by vendor and forecast against actual.
Most of what a CIO gets asked lands between systems. What an application costs sits in one place, what depends on it in another, who owns it in a third, and the contract behind it in a fourth. Answering takes a fortnight and somebody's best recollection, and by the time the answer arrives the question has moved on.
state3 holds those connections in one governed model. The companion part — asking in plain language and getting an answer you can take into a meeting — works because of what sits underneath it, not because a language model is filling in the gaps.
None of these are exotic. They are hard today because the answer is assembled from four systems and three people, not because the information is missing.
Technology spend tracked by contract purpose, with total cost of ownership by vendor and forecast against actual.
Contracts carried with status, owner and renewal window, so a renewal is a decision you make rather than a date you miss.
Application-to-capability mapping surfaces gaps and redundancies — the two systems that look different until you see they serve the same capability.
Application and technology lifecycles tracked end to end, with critical and at-risk systems captured rather than inferred.
The risk dashboard flags the gaps directly: risks with no owner, no review date and no recorded impact, alongside scored-versus-treated analysis.
Pre-decommission analysis across 14+ entity types, so the consequences are modelled before the call rather than discovered after it.
Total cost of ownership by vendor, with the contracts and the technology in use behind each one, and any risks already attached to them.
Ownership recorded against each application across technology, process and business — and visibly absent where it has never been assigned.
Change in flight across the estate, with the workflow, approvers and impact assessment attached to each one.
Any assistant can be asked a question about your estate. Whether the answer is worth acting on depends entirely on what it is reading from.
Applications, infrastructure, services, capabilities, people, ownership, vendors, contracts, cost, risk and change in one graph.
The model is the authority. The assistant is a way of asking it.
A connected model that has gone stale is worse than no model, because people trust it.
A dashboard answers the questions someone anticipated when they built it. An assistant with no governed model behind it answers anything you ask, which is a different problem. The point of the companion is that the questions are yours and the answers come from your own model — including the ones nobody thought to put on a report.
What a system costs, and which renewals land next quarter.
IT financial managementWhat an application costs, who owns it, and what depends on it.
application portfolio managementRisk attached to the thing at risk, with owner and treatment.
technology risk managementWhat a change touches, before you approve it.
change impact assessmentThe same model, read from the other end: what an alert actually affects.
organisational context for IT operationsWhy the answers hold up, and what happens when a feed disagrees with the graph.
how state3 stays currentA tailored demo runs on data shaped like yours. Bring the question you have been unable to get a straight answer to.