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Illustrative · read-only
Where the money goes · analytics

$12,600 a month of the $126,000 seat bill sits with Operations, at $12 a head.

assumption · your Microsoft 365 Copilot seat price, until you save your own · $30 per seat per month · 160 seats sit outside any department
Engineering$13 a head$20,400
Sales$13 a head$18,000
Operations$12 a head$12,600
Customer Success$13 a head$11,700
Finance$16 a head$10,200
Product$17 a head$7,800
Marketing$14 a head$7,800
IT$15 a head$7,500

These four close: cost ÷ users = cost per user, over the same 1 department. The cards above cover Operations alone; the estate's whole bill is $126,000 — $108,600 across the other 11 departments, and 160 seats sit outside any department — see the Overview.

1 filter active Showing: every month Aristo holds (6) Operations All productsChange

1 filter active Showing: every month Aristo holds (6) Operations All products

The privacy floor survives every filter on this page. This page never names a person — named recognition exists only on Department AI visibility, where your organization's policy and each person's own choice decide it. Other teams — 2 teams shown together, so that no group of fewer than five people is shown on its own.
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.

Saved views none yet on Chargeback analytics
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.

Cost trend by product
6 months US$ per month Labeled estimate
$0 $150k $300kApr 2026 · Microsoft 365 Copilot: $108,000 — labeled estimate Apr 2026 · Microsoft 365 E5: $72,000 — labeled estimate Apr 2026 · Power BI Pro: $26,000 — labeled estimate Apr 2026 · Dynamics 365: $18,000 — labeled estimate Apr 2026 · Other paid products: $5,400 — labeled estimate Apr 2026 May 2026 · Microsoft 365 Copilot: $112,500 — labeled estimate May 2026 · Microsoft 365 E5: $74,000 — labeled estimate May 2026 · Power BI Pro: $27,000 — labeled estimate May 2026 · Dynamics 365: $19,000 — labeled estimate May 2026 · Other paid products: $6,150 — labeled estimate May 2026 Jun 2026 · Microsoft 365 Copilot: $117,600 — labeled estimate Jun 2026 · Microsoft 365 E5: $76,000 — labeled estimate Jun 2026 · Power BI Pro: $28,000 — labeled estimate Jun 2026 · Dynamics 365: $19,800 — labeled estimate Jun 2026 · Other paid products: $5,380 — labeled estimate Jun 2026 Jul 2026 · Microsoft 365 Copilot: $121,800 — labeled estimate Jul 2026 · Microsoft 365 E5: $79,000 — labeled estimate Jul 2026 · Power BI Pro: $29,200 — labeled estimate Jul 2026 · Dynamics 365: $21,000 — labeled estimate Jul 2026 · Other paid products: $7,420 — labeled estimate Jul 2026 Aug 2026 · Microsoft 365 Copilot: $124,500 — labeled estimate Aug 2026 · Microsoft 365 E5: $82,000 — labeled estimate Aug 2026 · Power BI Pro: $30,000 — labeled estimate Aug 2026 · Dynamics 365: $22,200 — labeled estimate Aug 2026 · Other paid products: $11,060 — labeled estimate Aug 2026 Sep 2026 · Microsoft 365 Copilot: $98,700 — labeled estimate, month to date Sep 2026 · Microsoft 365 E5: $65,800 — labeled estimate, month to date Sep 2026 · Power BI Pro: $24,283 — labeled estimate, month to date Sep 2026 · Dynamics 365: $18,017 — labeled estimate, month to date Sep 2026 · Other paid products: $11,390 — labeled estimate, month to date Sep 2026 so far
Microsoft 365 CopilotMicrosoft 365 E5Power BI ProDynamics 365Other paid productsThis month so far — not a complete month

Estate-wide: the Operations 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

Spend by product, month by month
MonthMicrosoft 365 CopilotMicrosoft 365 E5Power BI ProDynamics 365Other paid productsTotal
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.

Paid seats by product
current license position paid seats Counted
8,742paid seats
Microsoft 365 Copilot4,200 seats (48.0%)Microsoft 365 E52,500 seats (28.6%)Power BI Pro1,050 seats (12.0%)Dyn365600 seats (6.9%)Visio Plan 2242 seats (2.8%)Project Plan 3150 seats (1.7%)
One arc per product, sized by counted paid seats

Estate-wide seats: the Operations 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

Paid seats by product, with each product’s share of the counted total
ProductPaid seatsShareSpend / mo
Microsoft 365 Copilot4,20048.0%$126,000
Microsoft 365 E52,50028.6%no seat price held
Power BI Pro1,05012.0%no seat price held
Dyn3656006.9%no seat price held
Visio Plan 22422.8%no seat price held
Project Plan 31501.7%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.

Every department this page can name, with its counted license bill, its cost per head, the last month's step and the shape of its seat position.
DepartmentUsersTotal cost Cost / userChange Trend
Operations 1,020 $12,600 $12 ↑ 2.4%
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.

estimate

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.

Metered consumption by month
6 months US$ per month Labeled estimate
$0 $150k $300kApr 2026: $229,400 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. Apr 2026 May 2026: $238,650 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. May 2026 Jun 2026: $246,780 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. Jun 2026 Jul 2026: $258,420 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. Jul 2026 Aug 2026: $269,760 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. Aug 2026 Sep 2026: $218,190 — labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement. This month so far, not a complete month. Sep 2026 so far
Labeled estimate — An estimate worked from real inputs, deliberately on the low side — never a measurement.This month so far — not a complete month

Estate-wide: the Operations 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.

Metered consumption by month, each month carrying its own basis.
MonthMeteredBasis
April 2026$229,400estimate
May 2026$238,650estimate
June 2026$246,780estimate
July 2026$258,420estimate
August 2026$269,760estimate
September 2026 (so far)$218,190estimate
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.

Source: Azure Cost Management export where connected; Aristo consumption envelope otherwise As of: 24 September 2026

Cost per user

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

assumptionView insight →

Operations carries $12 of Copilot license per head — 420 seats across 1,020 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.

Counted Copilot license per head, by team
current license position US$ per person per month Counted
Operations
420 seats across 1,020 people · 41% hold one
$12/head
Counted license cost ÷ counted headcount
Evidence & data — Counted Copilot license per head, by team

Comparison

A team is expensive per head when more of its people hold a seat, not because its seats cost more — the seat price is the same everywhere in this estate. This ranking is therefore a map of seat coverage in money, and it is a different question from whether those seats are being used.

Source & method

Microsoft license records joined to your directory.

Basis: Counted

Accessible data

Counted Copilot license per head and per active seat, by team
DepartmentPeopleSeatsCoverageLicense / moPer headPer active seat
Operations1,02042041%$12,600$12$47

Every row is a team of five people or more. Coverage is seats divided by headcount; per head divides the same bill by the same headcount.

How this is counted — 2 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.

Source: Microsoft license records joined to your directory (Organization.Read.All + User.Read.All) As of: 24 September 2026

Usage vs cost

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

assumptionView insight →

Operations uses 64% of its 420 counted seats against $12,600 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.

Seat use against license cost, by team
current license position x — % of seats active · y — US$ per month Counted
$0 $7.5k $15k0%25%50%75%100%Operations: $12,600 a month of counted license across 420 seats, 64% of them active. Share of counted seats active License cost per month
Team, sized by counted seatsLow use, high cost — the corner worth acting on
Evidence & data — Seat use against license cost, by team

Comparison

The medians are not drawn: with fewer than three teams a median is the midpoint of a pair, and dividing the estate on it would be a shape, not a finding.

Source & method

Microsoft license records + Copilot usage signals, joined per team.

Basis: Counted

Accessible data

Scroll sideways for the remaining columns.

Seat use against counted license cost, one row per team of five people or more.
DepartmentSeatsSeat useLicense / moPosition
Operations 42064%$12,600 Aligned
How 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.

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.

Source: Microsoft license records + Copilot usage signals, joined per team As of: 24 September 2026

Department efficiency

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

countedAttentionView insight →

Operations is the only ranked team because the department filter is narrowing this page to it: 64% of its 420 seats are active, leaving $4,500 a month on 150 seats not yet opened.

Scroll sideways for the remaining columns.

Departments ranked on the share of their counted seats that are active. Seats, people and utilization are counted; the allocation column is the consumption budget your organization set and is never added to the license column.
# Department People Seats Active Seat use License / mo
counted seats · default price
Per active seat
counted seats · default price
Allocation
consumption · set by your organization
Assigned seats ready to activate / mo
1 Operations 1,020 420 270 64% $12,600 $47 — $4,500
How this is counted — 2 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.

The change column and the trend line are counted from Aristo's own monthly seat record, kept per team since April 2026. A team with fewer than two recorded months shows an em dash there rather than a flat line.

Source: Microsoft Graph — license records + adoption signals, joined per team As of: 24 September 2026

Product utilization

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

countedAttention

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.

Every paid Microsoft product: seats bought, assigned and never handed to anyone. Seats are counted for every product; money appears only where a real seat price backs it.
Product Licensed Assigned Unassigned Assigned share Active In grace Operations seats Spend / mo Seats never given to anyone / mo
Microsoft 365 Copilot 4,200 4,040 160 96% 2,760 — 420 $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.

The "Operations" column is the counted department × product seat grid, folded at the same five-person floor as everything else: a cell below five reports "fewer than 5" — the count is withheld, the fact is not.

Source: Microsoft license records (Organization.Read.All) As of: 24 September 2026

Variance analysis

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

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.

Movements against the prior month, the prior run, the cap you set and the labeled projection. Each row carries the basis of its weaker endpoint, and a reason only where the data evidences one.
What moved FromTo Change Basis Why, where the data says so
Metered consumption April 2026
$229,400
May 2026
$238,650
+$9,250
↑ 4.0%
estimate —
Metered consumption May 2026
$238,650
June 2026
$246,780
+$8,130
↑ 3.4%
estimate —
Metered consumption June 2026
$246,780
July 2026
$258,420
+$11,640
↑ 4.7%
estimate —
Metered consumption July 2026
$258,420
August 2026
$269,760
+$11,340
↑ 4.4%
estimate —
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 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 —
Chargeback-ready cohort previous run, 25 August 2026
1,118 people
this run
1,120 people
+2 people
↑ 0.2%
estimate —
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.

Source: Azure Cost Management export, Microsoft license records, and the persisted prior run As of: 24 September 2026
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.