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Aristo's read Grounded in page evidence

The estate position, movement and open findings are composed here before the supporting detail.

Why it matters
Leadership gets one decision queue without losing the evidence trail.
Recommended action
Open the highest-impact finding and verify its evidence before assigning the move.

Welcome back, Contoso

Here is what is happening across your Microsoft 365 and AI investments.

How these numbers are counted As of 2026-08-29
Sources: Aristo Frontier Scale over counted Microsoft signals · Microsoft Graph — adoption signals · Aristo agent register and skill shelf · Microsoft licence records (Organization.Read.All) · Microsoft licence records + Copilot usage signals. Every card carries its own basis and opens the workspace that proves it.

Platform health

self-reported
The pillars behind the score
this counted run share of each pillar, 0 to 100 Self-reported
AdoptionActivation %Securityreadiness
This organisationNo industry benchmark held
Evidence & data — The pillars behind the score

Comparison

Every pillar behind the score has a counted reading this run, so the outline is closed all the way round.

Source & method

Aristo Frontier Scale over counted Microsoft signals.

Basis: Self-reported

Accessible data

The pillars behind the score
PillarScoreBasis
Adoption78/100Self-reported
Activation %68/100Self-reported
Security readiness88/100Self-reported

Every pillar behind the score has a reading this run.

Trends over time

2 counted measures, one point per run.

The estate, run by run
5 counted runs each measure on its own 0–100 scale Self-reported
50607080902026-052026-052026-062026-072026-08
Frontier scoreActivation — share of assigned seats active
Evidence & data — The estate, run by run

Comparison

Each point is a run that was counted, not a sampled month, so the gaps between points are the gaps between counts. The axis is banded 50–90, so a five-point move on a hundred-point scale reads as one.

Source & method

Aristo Frontier Scale over counted Microsoft signals.

Basis: Self-reported

Accessible data

Every counted measure at each run
RunFrontier scoreActivation — share of assigned seats active
2026-05-0162/10068%
2026-05-3166/10068%
2026-06-3070/10068%
2026-07-3074/10068%
2026-08-2978/10068%

The axis is banded 50–90; the figures here are the readings themselves, unbanded. Activation is the share of assigned seats with qualifying activity; bought-but-unassigned seats are outside that denominator. Idle spend is persisted per run as well and is deliberately not on this axis — it is dollars, and money drawn on a percentage scale is how a chart starts lying. The basis stated above is this run's; per-run provenance is not persisted, so an earlier point cannot be re-attributed. A run reading “not recorded” did not store that measure, and the line breaks across it rather than being drawn through it.

Top insights

4 raised from counted positions this run.

Consumption over time

Metered spend per month, with each month carrying its own basis.

Metered consumption by month
last 6 months US$ per month Labelled estimate
$0 $150k $300kMar 26: $229,400 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. Mar 26 Apr 26: $238,650 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. Apr 26 May 26: $246,780 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. May 26 Jun 26: $258,420 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. Jun 26 Jul 26: $269,760 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. Jul 26 Aug 26: $278,540 — labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter. This month so far, not a complete month. Aug 26 so far
Labelled estimate — A labelled envelope over real inputs, built to under-count rather than to flatter.This month so far — not a complete month
Evidence & data — Metered consumption by month

Comparison

A bar is solid when the month’s figure was read or counted, and hatched when it is a model. The hatched bars are the honest picture of when measurement began, and the open bar is this month so far — it is a shorter month, not a smaller one, and should never be read as a fall.

Source & method

Azure Cost Management export where connected; Aristo consumption envelope otherwise.

Basis: Labelled estimate

Accessible data

Metered consumption by month
MonthSpendBasisComplete month
Mar 26$229,400Labelled estimateYes
Apr 26$238,650Labelled estimateYes
May 26$246,780Labelled estimateYes
Jun 26$258,420Labelled estimateYes
Jul 26$269,760Labelled estimateYes
Aug 26$278,540Labelled estimateNo — month to date

A month-to-date figure is a shorter month, not a smaller one, and must not be read as a fall.