// Business & Operations

SaaS License Utilization Reconciler

Reconcile SaaS seats, activity, invoices, and HR status into reviewable reclaim candidates without revoking access.

We earn a commission on eligible purchases after a new Agensi signup through these links. We also sell our own skills on Agensi.

Get it on Agensi Find another skill $19 one-time

Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.

Package requirements: SKILL.md-compatible agents that can run a local Python helper. Python 3.10 or newer on Windows, macOS, or Linux using only the standard library. One documented UTF-8 JSON evidence packet; no API key or provider account.

You get: findings.csv with stable codes and evidence sources review-manifest.csv with every reviewed record

Licence and purchase details

Review the package licence at the destination.

Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.

Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.

See tested hosts, versions and workflow limits.

What problem does SaaS License Utilization Reconciler solve?

Assigned seats, recent activity, invoices, contracts, and HR rosters are commonly compared by hand immediately before renewal.

Use it to

Find terminated users with active licenses
Review unused paid seats before renewal
Reconcile invoiced seats with supplied active assignments

What it returns

findings.csv with stable codes and evidence sources
review-manifest.csv with every reviewed record
result.json with READY, REVIEW, or BLOCK gate and SHA-256 receipt
report.md with a human-review handoff

A representative input and result

fixture-backed sample

input `users[]` uses `user_id` and `employment_status`; `licenses[]` uses `license_id`, `user_id`, `application`, `status`, `days_since_activity`, and optional exception evidence; `invoices[]` uses `invoice_id`, `application`, and `seat_count`.

result A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.

Access and approval boundaries

Terminal permission to run the bundled local Python reconciler.
Read access to one user-selected normalized UTF-8 JSON packet.
Write access only to one user-selected local output directory.
No browser, network, credential, account, environment-variable, messaging, payment, deletion, access-change, filing, or publication permission.

Known limitations

Activity age does not by itself prove that a seat should be reclaimed.
The package does not connect to a SaaS provider, HRIS, or identity system.
It never revokes access, changes a subscription, or contacts a user.

// choose with context

Is SaaS License Utilization Reconciler the right skill?

Best fit

Assigned seats, recent activity, invoices, contracts, and HR rosters are commonly compared by hand immediately before renewal.

It returns

findings.csv with stable codes and evidence sources. review-manifest.csv with every reviewed record.

Do not use it as

Activity age does not by itself prove that a seat should be reclaimed.

Compatibility, access, version, and licence

Reads or accesses: Declared local scope: one owner-selected local JSON input, one owner-selected local output directory.
Compatibility: SKILL.md-compatible agents that can run a local Python helper. Python 3.10 or newer on Windows, macOS, or Linux using only the standard library. One documented UTF-8 JSON evidence packet; no API key or provider account.
Version: 1.0.0
Licence: Review the package licence and seller terms at the linked destination.

What happens next

Open the Agensi listing, check the current offer and connect a supported agent. Agensi loads the skill through its connector; it no longer provides a download. Approve any purchase before use. Check Agensi’s current connection guide before changing an existing connection.

Questions

Does it connect to a live account or provider?

No. It reads one normalized local JSON packet and makes no network request.

Does it make the final decision or external change?

No. It produces evidence findings; the responsible owner makes every decision and action outside the package.

Is the result deterministic?

Yes. Stable finding codes, sorted records, and a SHA-256 receipt make repeated review inspectable.

What happens with malformed input?

Unreadable JSON, missing arrays, duplicate core identifiers, invalid timestamps, and invalid core numbers fail closed.

Does READY prove the underlying evidence is true?

No. READY means no automated finding appeared in the supplied normalized packet; source truth still requires human review.