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Financial Intelligence · Expanded Financial Intelligence

SaaS and Cloud Waste Intelligence

Analyse authorised software usage, subscriptions, commitments, cloud resource usage and spend, and identify optimisation opportunities with evidence and permissioned rec…

Demonstration: Brightwater Logistics (fictional) · Logistics. Fictional data and a scripted answer.

The situation

Organisation
Brightwater Logistics (fictional)
Who is asking
Head of IT finance
Industry
Logistics
What happened
Software and cloud spend rose 18% this year with no matching growth in headcount.

The question asked

Which subscriptions and cloud resources are paid for but not being used?

What it reads, and who can see the result

  • SaaS invoices and licence lists exportSubscriptions with seat counts.
  • Sign-in activity exportLast sign-in per user, without content.
  • Cloud billing export exportResource and utilisation summary.
Reads
Licence counts, last-activity dates, and resource utilisation summaries.
Does not read
The content of any document, message or database in those services.
Permission
Read-only reporting roles granted by each service's administrator.
Who sees it
IT finance, the CIO and the budget owners of each tool.

Try it

Review each flagged record: confirm it or dismiss it. The totals and the answer below follow your decisions.

ServicePlanUseAnnual cost (USD)FindingDecision
CRM120 seats118 active0MatchedNone needed
Design tool20 seats6 active8,40014 seats unused for 120 days
Analytics add-onEnterpriseno queries12,000No activity in 150 days
Cloud cluster, test16 vCPU4% busy19,800Idle outside office hours; sized for a retired project
E-signTeamoverlaps legal's plan3,600Duplicate of another team's subscription
Email400 seats398 active0MatchedNone needed
Pre-production databaseLarge3% busy7,200Over-provisioned for its load
CI minutesProwithin plan0MatchedNone needed
Flagged
5 of 8 · USD 51,000
Reclaim
0 · USD 0
Keep
0 · USD 0
Undecided
5 · USD 51,000

The answer

Simulated answer. Written for this fictional case, not produced by a live model. Only the figures in it are computed, from what you decided above.

5 of 8 services look under-used, USD 51,000 a year.

Two are seat or subscription overlaps, three are idle or over-sized cloud and analytics resources, and one is a plan sized for a project that ended [S1][S2][S3]. Under-use is a signal, not a verdict: a quarterly tool may look idle for 120 days and still be needed.

You have chosen to reclaim 0 items (USD 0 a year) and keep 0 (USD 0). 5 remain open (USD 51,000).

Relies on: S1 · Subscription registerS2 · Sign-in activity, last 120 daysS3 · Cloud utilisation export

Review and approval

The CIO decides. Approving the reclaim list asks the budget owners to cancel or resize those items. Nothing is cancelled by the system.

Not ready to approve. 5 flagged items are still undecided. Confirm or dismiss each one first.

In the product this is a different person with the right permission. Here you play that role to see the rule.

What it produces

registerDraft, not approved

Reclaim register

  • Reclaim: 0 items, USD 0 a year.
  • Keep: 0 items, USD 0 a year, with the reason recorded.
recommendationDraft, not approved

Owner follow-up

  • Each owner confirms before cancellation; a seasonal tool is kept with a note.

Limits of this example

  • Annual cost is the current contract value; early termination terms are not modelled.
  • Utilisation is a summary, not a judgement of value.
  • This is a scripted demonstration on fictional data. No model was called and no real organisation, person or result is shown.