Executive summary

Engineering's own position across June 2026.

Spend trend estimate

Metered consumption month by month across June 2026, each month carrying its own basis.

June 2026 is the only completed month inside June 2026 — $246,780, labeled estimate — so there is a figure but nothing yet to compare it against.

This section ignores the department filter. Metered consumption is billed to the tenant, not to a team — there is no per-department series to draw, and apportioning the estate's dollars by headcount would produce a chart that moves when you change the filter and means nothing. The estate series is shown unchanged.

Cost per user assumption

Counted Copilot license per head, by team, across Engineering.

Engineering carries $13 of Copilot license per head — 680 seats across 1,550 people — and it is the only row here because the department filter is narrowing this page to it, so there is no distribution to compare it against.

This is a TEAM total divided by a TEAM headcount, at five people or more. It is not a per-person figure — this page holds none and no filter combination on it produces one; the only named surface is Department AI visibility, under your organization’s policy and each person’s own choice.

The apportioned consumption estimate is deliberately not divided by headcount here. That apportionment multiplies a flat per-user rate by a department size, so dividing it back out returns the same rate for every team — a column that looks like a finding and can never contain one.

Department efficiency counted

Every team ranked on the share of its counted seats that are working, across Engineering.

Engineering is the only ranked team because the department filter is narrowing this page to it: 76% of its 680 seats are active, leaving $4,800 a month on 160 seats not yet opened.

The two money columns are on different bases. License cost is counted seats at your seat price; the apportioned consumption estimate distributes metered funding, labeled an estimate everywhere it appears. Adding them together would state a total this organization does not owe.

Ranked on the share of a team's counted assigned seats that are in use — the one column here with no estimate and no price inside it. The two money columns are on different bases and are never added: license cost is counted seats at your seat price, the allocation is the consumption budget your organization set.

Aristo began keeping a per-team monthly seat record in April 2026. The “change since last month” column and the trend line need a second month and appear then; nothing is drawn as a flat line meanwhile.

Usage vs cost assumption

Seat use against license cost, one mark per team, sized by counted seats.

Engineering uses 76% of its 680 counted seats against $20,400 a month of license — the only mark here because the department filter is narrowing this page to it, so there is no estate around it to be an outlier of.

Every mark is a team of five people or more. The bubble is drawn as an AREA in counted seats, so a team with four times the seats gets four times the ink — scaling the radius instead would quadruple the visual weight of a doubled quantity.

The usage axis runs the full nought to a hundred whatever the data does. Auto-scaling a percentage axis to its own spread makes a five-point difference between teams read as a chasm.

The quadrant guides are not drawn. A median across fewer than three teams is the midpoint of a pair, and splitting two teams into a higher-use one and a lower-use one on that basis is not evidence.

Product utilization counted

Every paid Microsoft product, in counted seats — bought, assigned, and never handed to anyone.

Microsoft 365 Copilot carries the largest unassigned block: 160 of its 4,200 paid seats have never been handed to anyone, which is $4,800 a month at your seat price.

Seats are counted for every paid product. Money appears only where this product holds a real price for the product — Copilot today — because an invented price makes a total look precise and be wrong.

5 of the 6 products shown are reported in counted seats and deliberately never dollarized. Their headroom is real; its value is not yet knowable.

Variance analysis projection

What moved across June 2026, against the prior month, the prior run, your cap and the labeled projection.

The largest movement across June 2026 is that seats ready to activate fell from 1,283 at the previous run on 25 August 2026 to 1,280 at this one, down 3 seats — $90 a month of license. Seats ready to activate fell by 3 while active seats rose by 3. That is the shape of activation rather than of reclamation — though the previous run did not record the paid-seat total, so the two cannot be reconciled to the seat from here.

A movement between two months on DIFFERENT bases is not purely a movement in spending — one endpoint counts Aristo-mediated consumption and the other counts everything your billing export sees. Every row states the basis of its weaker endpoint, and says so in words where they differ.

Seat and cohort movements are measured between RUNS, not between calendar months, and are labeled that way. A run is when Aristo counted; the calendar is not what moved.

Estimated months are included in the comparison and marked, rather than dropped. Dropping them would leave a tidy series with a hole in it and no sign that the hole was ever there.

This section ignores the department filter for the money rows: metered consumption is billed to the tenant, not to a team. The seat rows are estate-wide counts on both sides for the same reason — the previous run stored an estate total, not a per-team one.

Recommendations

Selected from the positions ranked above. Every figure in them is one of the figures already in this document.