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See where your AI spend goes, by provider, key and person
For leaders who want a clear read on AI costs tracked in Ramp by asking their AI assistant.
On this page
Connector
Connect Ramp, pick your AI tool and paste the prompt.
The problem
AI spend is understood only after the bill arrives
AI service costs are spread across providers, models, API keys and people. No single screen shows who spends what, which keys are near their limit or which usage looks unusual, so the bill is understood only after it arrives.
Without PopdockAI
- Check usage provider by provider
- Look up each API key's limit and sync
- Work out who spends the most
- Spot unusual usage after the bill lands
With PopdockAI
- Estimated cost totalled by provider and model with tokens
- Keys near their limit, stale or inactive with cost flagged
- Anomalous team members and the top five by cost
- Two savings suggestions, and nothing changed
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Summarise AI spend tracked in Ramp over the last {days-back} days (default 30), and flag keys or people who stand out. Ignore items under {min-cost} estimated cost (default 0).
**Step 1: Usage**
Call `ramp-get-ai-spend-usage` with `usage-date.from` set to the window start and `estimated-cost.min` set to the minimum. Total estimated cost by provider and by model. Note input, output and cached tokens.
**Step 2: Keys and people**
Call `ramp-get-ai-spend-api-key` with `estimated-cost.min` set to the minimum. Flag keys near their spend limit, keys not synced recently and keys with an inactive status that still show cost.
Call `ramp-get-ai-spend-team-member` the same way. Flag members marked anomalous and the top five by cost.
**Step 3: Report**
Provider and model totals, the top keys, the top members, and the anomalies. End with two cost-saving suggestions grounded in the numbers.
**Rules & Guidelines:**
* Read only. No write tool is needed for this prompt.
* Estimated cost is not provider reported cost. Show both where both exist and say which you used.
**Validation:**
* If no usage is returned, say AI spend tracking may not be enabled and stop.Who it's for
One answer, three teams that use it
CFOs
Understand AI cost before the bill
Totals by provider and model show where AI money goes this month.
How much did we spend on AI providers in Ramp over the last 60 days, by model?
Engineering managers
Find keys near their limit
API keys close to their spend limit or not recently synced are flagged.
Which AI API keys in Ramp are near their spend limit?
Finance managers
Spot unusual usage by person
Team members marked anomalous and the top spenders are listed.
Who are the top AI spenders in Ramp this month, and is anyone flagged as unusual?
How it works
What PopdockAI does when you ask
You give a window and your AI assistant reviews the AI usage Ramp tracks. It points out what stands out and leaves every key and member as it is.
01
Ask
You give a window, default 30 days, and an optional minimum cost.
02
Total
It reads usage and totals estimated cost by provider and model, with token counts.
03
Flag
It checks API keys and team members for limits, stale syncs, inactive keys with cost, and anomalies.
04
Report
You get totals, top keys and members, anomalies, and two savings suggestions.
What PopdockAI provides
The tools behind the answer
Ready made tools for Ramp and one secure connection to your AI tool. No code, no exports.
ramp-get-ai-spend-usage
ramp-get-ai-spend-api-key
ramp-get-ai-spend-team-member
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
One clear view of AI spend by provider, key and person
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One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.