AI spend rises quarter on quarter while delivery stays flat, and the two numbers live in different systems: finance sees the invoice, and nobody sees the why.
Begin the conversation
The problem
AI spend rises quarter on quarter while delivery stays flat, and the two numbers live in different systems: finance sees the invoice, and nobody sees the why.
The goal
Keep, cut or govern tools, models and seats on evidence — what the money buys, where it is misallocated, and whether spend and delivery justify rolling a program to the next team.
What the memory watches
The top-down lane: invoices, licences and token use by category. And, by consent and only in aggregate, the bottom-up lane: which models are used for which kind of work, where a premium default sits on trivial work, what caching saves. The two lanes reconciled — never a cost sheet per person.
What comes back
The cost drivers, ranked, each with what could be recovered; the finance view reconciled with what actually happens in the work; a queue of reallocations, each with the alternative considered — every line opening onto its evidence.
Every claim opens onto the evidence behind it, with its confidence and its recency.
What you can ask
Where does the AI money actually go, and what did it change in delivery?
Which spend is premium by default rather than by need?
Does this program's spend justify rolling it to the next team?
The mission behind it
Watches how work runs against your goal and returns a diagnosis and recommendations — where the constraint sits, what moved since last time, which next step the evidence supports. The win is the actions they lead to and the improvement you can observe.
Where judgment stays
Which tool, model or seat to keep is a budget decision, and yours. The memory says what it costs and what it did.
Also for transformation leaders
See where the gain from each accelerated step went, and which step to work on next.
Learn more →A sequence of interventions you can defend, with a reading of what each one did.
Learn more →Grounded in real work
Corporate data first, read-only and purpose-bound. Where a claim would concern a person, it is consented or it is not shown.
