Plan · Org-wide
Project your annual AI spend
Five inputs. Realistic projection across the tools your engineers actually use.
Team
Headcount & usage profile
Mixed chat + completion. ~150 prompts/day.
% on "heavy" usage20%
Tool mix
Allocate 100% of engineers (currently 100%)
GitHub Copilot Business25%
GitHub Copilot Enterprise0%
Cursor Pro45%
Cursor Business0%
Claude Code (Max)20%
ChatGPT Business10%
Windsurf Pro0%
Anthropic API (raw)0%
OpenAI API (raw)0%
Monthly spend
$8,462.76
$56.42/eng
Annual spend
$101.6K
$677.02/eng
Engineers covered
150
Normal intensity
Per-tool breakdown
| Tool | Seats | Seat cost | Metered | Monthly | Annual |
|---|---|---|---|---|---|
Cursor Pro Anysphere | 68 | $1,360.00 | $1,517.76 | $2,877.76 | $34.5K |
Claude Code (Max) Anthropic | 30 | $3,000.00 | $1,488.00 | $4,488.00 | $53.9K |
GitHub Copilot Business GitHub | 38 | $722.00 | $0.0000 | $722.00 | $8,664.00 |
ChatGPT Business OpenAI | 15 | $375.00 | $0.0000 | $375.00 | $4,500.00 |
| Total | 150 | $8,462.76 | $101.6K | ||
Sensitivity
What changes the bill the most?
If heavy users ↑ to 50%
+29%
If you cap Opus to 10%
-12%
If you add prompt caching
-22%
Curious how guardrails change these numbers? Open the guardrails designer.