Nothing to analyze yet. The first counted seat bill opens every cut on this page.
1 filter active Showing: every month Aristo holds (6) Other teams All productsChange
1 filter active Showing: every month Aristo holds (6) Other teams All products
How the floor holds when the data is cut
There is no per-person view, screen or export for any leader to pull. Filtering is how a k-anonymous surface usually leaks: each cut is safe and the intersection of three of them is one person. So the department list offers only the already-merged rows — a small team is not an option here or anywhere else, and selecting the merged bucket shows the aggregate, never a split of it. Where a department and a product are combined, a cell below five reports “fewer than 5”: the count is withheld, the fact is not.
Why this workspace keeps none
This is the illustrative organization — it is never written to, so there is nothing here to save. In your own tenant, naming a filter set keeps it for everyone who can open this workspace, and answers it with the numbers as they stand each time somebody opens it.
Where the money goes
Consumption month by month, split across the products it was spent on.
Estate-wide: the Other teams filter does not apply — consumption is billed to the tenant, not a team.
Evidence & data — Cost trend by product
Comparison
Microsoft 365 Copilot is the largest band in September 2026 at $98,700, down 8.6% across the period. Every column adds to the same month on the consumption trend above.
Source & method
Aristo consumption envelope split across your license records.
Basis: Labeled estimate
Accessible data
Scroll sideways for the remaining columns.
| Month | Microsoft 365 Copilot | Microsoft 365 E5 | Power BI Pro | Dynamics 365 | Other paid products | Total |
|---|---|---|---|---|---|---|
| April 2026 | $108,000 | $72,000 | $26,000 | $18,000 | $5,400 | $229,400 |
| May 2026 | $112,500 | $74,000 | $27,000 | $19,000 | $6,150 | $238,650 |
| June 2026 | $117,600 | $76,000 | $28,000 | $19,800 | $5,380 | $246,780 |
| July 2026 | $121,800 | $79,000 | $29,200 | $21,000 | $7,420 | $258,420 |
| August 2026 | $124,500 | $82,000 | $30,000 | $22,200 | $11,060 | $269,760 |
| September 2026 (so far) | $98,700 | $65,800 | $24,283 | $18,017 | $11,390 | $218,190 |
Every figure is a labeled envelope: this product holds a real per-seat price for Copilot alone, so a per-product dollar split is an estimate over the estate and is drawn hatched.
Product breakdown
Every paid product, sized by the seats it holds.
Estate-wide seats: the Other teams filter applies in the product table below, not to this chart.
Evidence & data — Paid seats by product
Comparison
Every paid Microsoft product in this estate, sized by the seats bought rather than by what they cost. Money appears in the legend only beside a product this estate holds a real seat price for, which is Copilot. The ring itself is drawn in seats so that every product is in it.
Source & method
Microsoft license records (Organization.Read.All).
Basis: Counted
Accessible data
Scroll sideways for the remaining columns.
| Product | Paid seats | Share | Spend / mo |
|---|---|---|---|
| Microsoft 365 Copilot | 4,200 | 48.0% | $126,000 |
| Microsoft 365 E5 | 2,500 | 28.6% | no seat price held |
| Power BI Pro | 1,050 | 12.0% | no seat price held |
| Dyn365 | 600 | 6.9% | no seat price held |
| Visio Plan 2 | 242 | 2.8% | no seat price held |
| Project Plan 3 | 150 | 1.7% | no seat price held |
The shares are of 8,742 counted paid seats across 6 products, which is the figure in the middle of the ring. A product with no seat price is counted in seats and deliberately never dollarized.
Department details
Every team this page can name, with the step it took since last month.
Scroll sideways for the remaining columns.
| Department | Users | Total cost | Cost / user | Change |
|---|---|---|---|---|
| Other teams | 243 | — | — | — |
Explore detailed analysisTrends, cost per user, usage alignment, efficiency, products and variance
Spend trend
Metered consumption month by month across April 2026 – September 2026, each month carrying its own basis.
Metered consumption rose 18% across 5 completed months, from $229,400 in April 2026 to $269,760 in August 2026, and 0 of the 6 months shown are measured rather than estimated.
Estate-wide: the Other teams filter does not apply — consumption is billed to the tenant, not a team.
Evidence & data — Metered consumption by month
Comparison
0 of 6 months in this period are measured. A month is solid only once an export covering it has landed — the hatched bars are the honest picture of when measurement began, not a gap in the data.
Source & method
Azure Cost Management export where connected; Aristo consumption envelope otherwise.
Basis: Labeled estimate
Accessible data
Scroll sideways for the remaining columns.
| Month | Metered | Basis |
|---|---|---|
| April 2026 | $229,400 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
| May 2026 | $238,650 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
| June 2026 | $246,780 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
| July 2026 | $258,420 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
| August 2026 | $269,760 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
| September 2026 (so far) | $218,190 | estimate An estimate worked from real inputs, deliberately on the low side — never a measurement. |
How this is counted — 2 notes on scope, denominators and what this section cannot answer
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.
The current month is drawn open because it is a month-to-date figure standing beside completed months. It is excluded from the movement asserted above — comparing a part-month to a whole one is the single easiest way to read a fall in spending that has not happened.
Cost per user
Counted Copilot license per head, by team, across Other teams.
Other teams has no counted seat-and-headcount pair, so no cost per head can be asserted for it.
No counted cost per head yet
This figure needs two counted reads joined: the seats a team holds, and how many people are in it. Directory access is what supplies the second. Until it runs the estate totals are still counted and correct — only the per-team split is missing.
Connect a data sourceHow this is counted — 3 notes on scope, denominators and what this section cannot answer
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.
1 row is not ranked here: a row is ranked only when its seat bill and its headcount are both counted and both shown. It is named in the department table below with an em dash or in words rather than a guess.
Usage vs cost
Seat use against license cost, one mark per team, sized by counted seats.
Other teams carries no counted utilization join, so its use cannot be set against its cost.
No counted use-against-cost position yet
This chart needs seats counted per team and usage counted per team. Directory read access is what joins the two. Nothing is plotted from one of them alone, because a chart with an invented axis is worse than no chart.
Connect a data sourceHow this is counted — 3 notes on scope, denominators and what this section cannot answer
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.
1 row is not plotted: a row is plotted only when its seat use and its seat bill are both counted and both shown, and a point is not invented for the others.
Department efficiency
Every team ranked on the share of its counted seats that are working, across Other teams.
Other teams has no counted seat utilization, so it cannot be ranked.
No counted per-team utilization yet
Per-team seat utilization needs directory read access. Without it the allocation still runs and the estate totals are still counted — only the "how much of it is being used" column stays blank rather than guessing.
Connect a data sourceHow this is counted — 3 notes on scope, denominators and what this section cannot answer
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.
1 row carries no rank: a privacy-merged bucket or a team below the utilization join's five-person floor has no counted use to rank. They are shown with an em dash rather than dropped, so the table still adds up to the estate.
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.
Product utilization
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.
Scroll sideways for the remaining columns.
| Product | Licensed | Assigned | Unassigned | Assigned share | Active | In grace | Spend / mo | Seats never given to anyone / mo |
|---|---|---|---|---|---|---|---|---|
| Microsoft 365 Copilot | 4,200 | 4,040 | 160 | 96% | 2,760 | — | $126,000 | $4,800 |
| Microsoft 365 E5 No seat price held — counted in seats only |
2,500 | 2,440 | 60 | 98% | — | — | — | — |
| Power BI Pro No seat price held — counted in seats only |
1,050 | 900 | 150 | 86% | — | — | — | — |
| Dyn365 No seat price held — counted in seats only |
600 | 520 | 80 | 87% | — | — | — | — |
| Visio Plan 2 No seat price held — counted in seats only |
242 | 120 | 122 | 50% | — | — | — | — |
| Project Plan 3 No seat price held — counted in seats only |
150 | 90 | 60 | 60% | — | — | — | — |
How this is counted — 3 notes on scope, denominators and what this section cannot answer
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.
Aristo holds no department × product seat grid for this tenant, so the Other teams column is not drawn rather than drawn empty. It fills from the same directory read the per-team utilization uses.
Variance analysis
What moved across April 2026 – September 2026, against the prior month, the prior run, your cap and the labeled projection.
The largest movement across April 2026 – September 2026 is that metered consumption went from $246,780 in June 2026 to $258,420 in July 2026, up $11,640 (4.7%). Alongside it, 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.
Scroll sideways for the remaining columns.
| What moved | From | To | Change | Basis | Why, where the data says so |
|---|---|---|---|---|---|
| Metered consumption | April 2026 $229,400 |
May 2026 $238,650 |
+$9,250 ↑ 4.0% |
estimate Both months are labeled estimate. An estimate worked from real inputs, deliberately on the low side — never a measurement. | — |
| Metered consumption | May 2026 $238,650 |
June 2026 $246,780 |
+$8,130 ↑ 3.4% |
estimate Both months are labeled estimate. An estimate worked from real inputs, deliberately on the low side — never a measurement. | — |
| Metered consumption | June 2026 $246,780 |
July 2026 $258,420 |
+$11,640 ↑ 4.7% |
estimate Both months are labeled estimate. An estimate worked from real inputs, deliberately on the low side — never a measurement. | — |
| Metered consumption | July 2026 $258,420 |
August 2026 $269,760 |
+$11,340 ↑ 4.4% |
estimate Both months are labeled estimate. An estimate worked from real inputs, deliberately on the low side — never a measurement. | — |
| Seats ready to activate | previous run, 25 August 2026 1,283 seats |
this run 1,280 seats |
−3 seats ↓ 0.2% |
counted Seats ready to activate counted on both sides — the same field, read the same way, at two different runs. This is the one seat comparison whose definitions provably match. | 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. |
| Active seats | previous run, 25 August 2026 2,757 seats |
this run 2,760 seats |
+3 seats ↑ 0.1% |
counted Active seats counted on both sides — the same field at two different runs. | — |
| Chargeback-ready cohort | previous run, 25 August 2026 1,118 people |
this run 1,120 people |
+2 people ↑ 0.2% |
estimate The people are counted; which of them are "ready" is an assessment over counted activation, win frequency and outcome signals — so the movement is labeled an estimate on both sides. | — |
| Next month, projected | August 2026 $269,760 |
projection $208,560 |
−$61,200 ↓ 23% |
projection | A projection is what the trailing months imply if nothing changes. Fitted over Aristo's newest 3 completed metered months (June 2026 $246,780, July 2026 $258,420, August 2026 $269,760), projecting September 2026; figures are shown rounded to the dollar. It is not a forecast anybody has committed to and it is never counted as spend. |
How this is counted — 4 notes on scope, denominators and what this section cannot answer
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.
How every number on this page was arrived at, which filters are not offered, and what is not measured yet
Every department figure on this page is the one the Overview states. This page filters, ranks and compares them; it re-derives nothing. That is deliberate: a leader who reads one number on the summary and a different number one click deeper has stopped trusting the product, and no explanation about denominators gets that back.
Counted means read directly from your Microsoft license records or usage signals. Measured means taken from your own billing export for the month shown. Estimate means an envelope Aristo computed and labeled as one. Assumption means a default this product supplied because you have not set the real value. Projection means a labeled forward figure and is never counted as spend. Every figure carries the weakest of the words that apply to it.
Filters this page does not offer, and why.
- Region and country. Aristo counts seats by region under the same five-person floor, but no money is attributable to a region — the department split is the only k-safe join this product has to dollars. A region filter would change the page and change nothing in it.
- Cost center, manager and business unit. Aristo reads department from your directory. It does not read cost centers or manager chains, and a manager filter is a per-person view with a different name on it.
- Active / inactive people. That is a per-person cut. This page shows teams at five people or more and offers no per-person view; named department visibility, where your organization turns it on, lives on Department AI visibility under its own policy.
- License type. This is the product filter above. Aristo names the SKU as your license records name it rather than inventing a second taxonomy on top.
What is not measured yet.
- Anomaly alerts stay withheld until enough measured history exists to establish a defensible baseline and threshold; ordinary variation is never promoted into a false incident.
- There is no benchmark to compare this organization against on this page. Cross-organization outcome evidence exists in this product only where enough tenants have run the same move, and a spend benchmark is not one of the things it evidences.
- Not every month in this period is measured. Connect a read-only Azure Cost Management export and each estimated month becomes measured, to the cent, from the month it lands onward.
- Every license dollar on this page — seat bills, cost per head, department charges and positions waiting for a user — is priced at this product's default seat assumption rather than your negotiated price; metered consumption months from your billing export are measured and do not move with it. One number in Settings re-prices the license figures and turns their labeled assumptions into counted figures.
- Every chart opens its exact numbers under "View the data behind this chart". Open License Report opens the report as a page. Export the department table from Where the money goes.
- Per-team history begins April 2026. The month-over-month change per team appears once a second month is recorded.