OpenAI
OpenAI · ChatGPT Enterprise
Every ChatGPT seat, accounted for.
Enterprise and Business seats, workspace credits, and the Codex entitlements inside them. One view of what your org spends on ChatGPT, and what it produces.
Seats renew by quote. Whoever has the utilization data negotiates better.
- Active vs. dormant seats, from real usage
- Credit burn for Deep Research, agents, and Codex
- Cost per output: spend tied to work actually delivered
We’ll reach out at the email you provided.
TRUSTED BY AI-FORWARD ENTERPRISES
THE WHOLE STACK
Start with ChatGPT. Measure everything.
Larridin measures AI spend across every vendor your org runs: ChatGPT beside Claude, Gemini, Cursor, and Copilot, plus cloud-billed usage and the agents you built in-house.
- Every vendor, seat, and agent in one spend model
- Attributed by team, department, and use case
- One ROI number across the stack
EVERY VENDOR, ONE SPEND MODEL
ChatGPT is one column in the ledger. The same spend model covers every AI vendor, seat, and agent your org runs, attributed by team, department, and use case.
HOW IT ADDS UP
However your org buys AI, the spend lands in one place.
Consolidated first, then owned, then tied to output.
CONSOLIDATE
The whole AI bill, reconciled
Seats, credits, tokens, and cloud-billed usage from every vendor: one spend model across the stack.
ATTRIBUTE
Each dollar gets an owner
OpenAI’s workspace exports come per week or month, with no department rollups without SCIM. Larridin maps every seat and credit to teams, departments, and use cases from your org chart.
PROVE ROI
Spend meets the work it paid for
Cost per output, hours returned, adoption: measured from the work itself, ready for the renewal negotiation.
FULL CHATGPT COVERAGE
Credits for Deep Research, agents, and Codex burn beside the seats and land in the same ledger. API and Codex platform spend live on the OpenAI page.
WHAT IT PRODUCED
ChatGPT spend, tied to work delivered.
Cost per active user, hours returned, and adoption, measured from the work itself. The renewal negotiation starts with a number.
- Cost per output across seats and credits
- Hours returned, counted from documents, tickets, and drafts
- Adoption trends by team and workflow
ChatGPT ROITHE CHATGPT LEDGER
Every seat and credit, one ledger.
Seat invoices and credit burn reconciled, then allocated by team, department, and cost center.
ChatGPT SpendAll your AI spend, ChatGPT and beyond, in one place. Attributed by team, department, and use case.
We’ll reach out at the email you provided.
SEAT UTILIZATION
Dormant seats are renewal leverage.
Seats are non-refundable mid-cycle and renew by quote. The org that knows which seats sat idle negotiates the next number.
- Active vs. dormant, from real usage, over any window
- Depth per seat: activation is not engagement
- Reclaim list ready before the renewal quote
SHADOW SPEND
Find the Plus subscriptions hiding on expense reports.
While the Enterprise contract sits prepaid, individuals expense personal Plus and Pro on cards. Workspace analytics can’t see card spend, and expense tools can’t see seat utilization. Larridin reads both.
- Expensed Plus and Pro subscriptions surfaced
- Seated users still expensing Plus, flagged
- Consolidation case ready for procurement
ONE VIEW
Take one screen into the renewal negotiation.
Every vendor’s spend, next to the work it produced. ChatGPT in context.
Output attribution. Work delivered across the stack, measured from the systems it lands in, beside what it cost.
Every vendor, one column each. ChatGPT sits beside Claude, Cursor, and Copilot, so the negotiation covers the whole stack.
ChatGPT in context. Seats and credits together, measured against everything else you run.
HOW IT CONNECTS
Connected in a day.
Connect OpenAI
Authorize Larridin with the ChatGPT admin console for seats, activity, and credit burn. Nothing to deploy.
Allocation syncs
Teams and cost centers come from the org chart you already maintain. Every seat and credit rolls up automatically.
Output attaches
Work delivered with ChatGPT lands next to what it cost: cost per output from the first scan.
FAQ
Questions ChatGPT Enterprise customers ask us.
How do I find out who’s actually using ChatGPT Enterprise?
The admin console shows last-active dates, and exports come per week or month with no custom ranges. Larridin measures every seat over any window and prices dormancy by department.
How do I get a refund for unused ChatGPT seats?
You don’t: committed seats are non-refundable mid-cycle, and counts reduce only at the next cycle. That is exactly why utilization evidence has to exist before the renewal, not after.
What counts as an active user in workspace analytics?
One message in the export window. OpenAI’s own power-user bar is 75 messages a week, and the gap between those two is invisible in a seat count. Larridin separates activation from engagement, per seat.
How much does ChatGPT Enterprise cost per user?
Pricing is quote-only with volume minimums, which is why cost per active user matters more than list price. Larridin computes it from your actual contract, seats, and credit burn.
How do we stop employees expensing ChatGPT Plus when we already pay for Enterprise?
First see it: Larridin surfaces Plus and Pro subscriptions beside your seat utilization, flags seated users paying twice, and gives procurement the consolidation case.
How do we prove ChatGPT Enterprise ROI before renewal?
From the work itself: documents, tickets, and drafts delivered with ChatGPT, measured per team and per dollar. The renewal negotiation starts with a number.
CHEAP TOKENS AREN’T THE GOAL
Useful ones are.
Optimize cost per outcome.
Larridin ties model spend to the work it produced, so you optimize for cost per outcome, not cost per token.
We’ll reach out at the email you provided.
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