🧪 PRE — staging environment, nothing here is real (no real payments, no real customer data)

Methodology

How we calculate what you're wasting, and what we deliberately don't claim to know.

Wasted licence spend

Every licence lands in one of four states, based on the last recorded activity from the vendor. Each state counts differently.

State Definition Counted as waste
Never used assigned, with no activity ever recorded 100%
Inactive no recorded activity in the last 45 days (configurable) 100%
Low use active, but under 10 interactions in 90 days (configurable) 50%
Active used regularly — not waste 0%
waste/mo = (never + inactive) × price + (low use + below peers) × price × weight

Low use counts at 50% on purpose: someone using a tool a little may still need it, so we don't claim the full amount as recoverable. Two low-use criteria, not one: an absolute threshold you set, and a relative one — the bottom decile of the person's own department, only for groups of 10 or more. The relative one exists because a fixed number judges a team that uses the tool 200 times a week the same as one that uses it 5. Neither ever counts the same licence twice.

What counts as a billable AI user

Which price we use

  1. Your contracted price, if you've entered it — this is the accurate one.
  2. Otherwise the vendor's list price, as a reasonable estimate.
  3. If there is no price at all, we do NOT invent one: the tool appears without a figure and we ask you to set it.

Overlapping tools

We flag a person holding two or more tools in the same category (for example two coding assistants). Holding both is not waste by itself — we only count savings when at least one of them is unused, and only for that unused licence.

The decision stays yours: a developer may legitimately need two. Wattprint surfaces the case with the numbers; it doesn't rule on it.

Confidence levels

Every action carries a confidence level, so you know which ones you can act on immediately and which need a look first.

Environmental footprint

Only for API usage where we have real token counts from the provider. We never estimate the footprint of licences we can't measure.

AI providers do not publish actual per-request consumption. These are estimates based on public literature and should be read as orders of magnitude, not measurements. Don't present them as audited figures.

What we don't claim to know

Per-tool detail is in Integrations