I've audited AI spend at dozens of startups over the past year. The pattern is always the same:

Teams overestimate what they need and underestimate what they're spending.

Here's what I keep seeing:

• GPT-4 being used for tasks that GPT-3.5 handles perfectly (3-5x cost difference)

• Duplicate API calls from retry logic nobody cleaned up

• Dev/staging environments burning through tokens 24/7 with no rate limits

• Embeddings being regenerated on every deploy instead of cached

The average startup with 50-500 employees is spending $8K-40K/mo on AI APIs — and at least a third of that is waste they can't see because they have no dashboard.

That's why I built Greenlens AI. One dashboard to track every AI dollar across every provider, every team, every project. Budget alerts before you blow past limits. ROI mapping so you can show the board exactly what AI is delivering.

If you're a CTO or engineering lead and you've ever looked at your OpenAI invoice and thought "that can't be right" — this is for you.