Subscription Waste Review

Subscription Waste Review is a routine your Townie AI assistant runs once a month: it reads your recurring software charges from Ramp or Brex, checks each subscription against real usage signals — seats versus active users, mentions in email and Slack — and delivers a digest of the ones worth questioning, ranked by potential savings. It never cancels anything; the decisions stay yours.

To: your Townie

Subject: Create me a Subscription Waste Review routine

Build me a routine that catches the software subscriptions my team is paying for but isn't actually using, so I can cut wasted spend before it compounds.

Run it once a month on a schedule (e.g. the first business day).

When it runs:
- Pull the last month of spend from my Ramp or Brex account and isolate recurring/subscription charges — SaaS tools, seat-based licenses, anything that renews. Roll it up by vendor with the amount, cadence, and whether it went up vs. prior months.
- For each subscription, gather what you can find about whether we're actually using it: seat or license counts vs. active users, recent logins/usage if that data is reachable, and softer signals like whether anyone mentions the tool in email, Slack, or on the calendar.
- Compare spend against real usage and flag the subscriptions worth digging into — nobody's touched it in 30+ days, we're paying for far more seats than active users, a renewal or price bump just hit, or it's a duplicate of another tool we already pay for.
- For each flagged item, tell me what it is, what we pay, why it's suspicious, and a suggested next step (confirm it's still needed, downgrade seats, or cancel) — and note where you're unsure so I can verify before acting.

Output: a monthly digest emailed to me, ranked by potential savings, separating clear 'probably cancel' candidates from 'worth a closer look.' Don't cancel or change anything on your own — just surface it for me to decide.

Before you build this, tailor it to the integrations I actually use and what you already know about me. Don't take the above at face value — ask me the critical questions that make it stronger: which tools and integrations to use (Ramp vs. Brex, and where usage data lives), what the output should look like, and how much autonomy you should have (what to do on your own vs. check with me first).

Sent when you sign up — works as-is, or edit anything.

1,855 / 2,000

Get started with this routine

It flags waste — canceling anything stays your call.

See it work: the shelfware, sorted by savings

Catch subscriptions your team pays for but isn't using

Cancel candidates separated from the ones worth a closer look.

How this routine works

Works with

It runs on the first business day
Once a month, your Townie pulls the last month of spend from Ramp or Brex and isolates everything that renews — SaaS tools, seat-based licenses, per-vendor rollups with the trend.
It checks spend against reality
Seats versus active users, recent logins where that data is reachable, and softer signals like whether anyone still mentions the tool in email, Slack, or on the calendar.
You get a ranked review, not a bill shock
A digest ranked by potential savings — clear cancel candidates separated from ones worth a closer look, each with what you pay, why it's suspicious, and a suggested next step.

Subscription Waste Review FAQ

It's a routine your Townie AI assistant runs once a month: it reads your recurring software charges from Ramp or Brex, compares each subscription against real usage signals — seat counts versus active users, mentions in email and Slack — and emails you a digest of the ones worth questioning, ranked by potential savings and split into cancel candidates versus items worth a closer look.

No. It surfaces and ranks; canceling, downgrading, or renegotiating stays entirely with you. It also flags where it's unsure so you can verify before acting. Read more in our security overview.

Your corporate card platform — Ramp or Brex — for the spend, plus your email. Connecting Slack and your calendar sharpens the usage signals, and it can pull seat counts from tools that expose them.

It triangulates: license counts versus active users, recent logins where reachable, and whether the tool shows up in your team's email, Slack, or meetings. When the evidence is thin it says so rather than calling something dead.

Yes — tell your assistant to ignore anything under a monthly amount, focus on seat-based tools, or watch specific vendors for renewal dates, and it adjusts from that one message.