πŸ”Ž Live demo of the real Allotment AI console β€” read-only, a sample company. Hover any β“˜ to learn a concept. Install your own free instance β†’
Lab console
AllOpenAIAnthropic (Claude)● real data
Org AdminAcme Corp (lab) Β· all users
β–¦Overviewβ—‰My WalletοΌ„Savings & ROIβ–€Seats & Licenses–Auto-sweep⇄Providers⚿Gateway Keys◍Credit Poolsβœ‰Requests‡Allocation Tree​Auto-allocation✦Insightsβš–Reconcile≣Audit logπŸ”‘Licenseβš™Settings
Read-only demo β€” the admin view of Acme Corp, a synthetic company. Nothing here is real and nothing you do is saved. Hover any β“˜ to learn a concept. In a real install everyone signs in with company SSO and sees only their own view. Install your free instance β†’
Insights, leaderboard & anomalies
Usage intelligence across the org (82 people). β–  GPT β–  Codex β–  Agents
GPT (chat)
β—ˆ230.06
Codex (coding)
β—ˆ98.11
Agents / automation
β—ˆ52.21
Anomalies flagged
8
⚠ Anomalies β€” possible runaway loops / automations
Amelia Miller 302Γ— median Β· Sales Β· amer
β—ˆ58.55 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Grace Foster 268Γ— median Β· Engineering Β· infra
β—ˆ52.05 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Ava Coleman 256Γ— median Β· Data Science
β—ˆ49.71 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Harper Parker 204Γ— median Β· Product Β· growth
β—ˆ39.51 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Emily Foster 183Γ— median Β· Engineering Β· mobile
β—ˆ35.46 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Zoe Cooper 181Γ— median Β· Product Β· core
β—ˆ35.02 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Ava Brooks 155Γ— median Β· Engineering Β· mobile
β—ˆ30.04 this run β€” well above this person's peers. Worth a look: a loop or batch job?
Grace Sullivan 140Γ— median Β· Product Β· growth
β—ˆ27.23 this run β€” well above this person's peers. Worth a look: a loop or batch job?
πŸ”
How it's detected: spend far above the team median plus off-hours / machine-rate patterns (Usage API, hourly). With a gateway connected, the same checks run in real time, per request.
Leaderboard β€” top usage credits used Β· split GPT / Codex / Agents
1. Amelia Miller Β· Sales Β· amer
β—ˆ58.55
2. Grace Foster Β· Engineering Β· infra
β—ˆ52.05
3. Ava Coleman Β· Data Science
β—ˆ49.71
4. Harper Parker Β· Product Β· growth
β—ˆ39.51
5. Emily Foster Β· Engineering Β· mobile
β—ˆ35.46
6. Zoe Cooper Β· Product Β· core
β—ˆ35.02
7. Ava Brooks Β· Engineering Β· mobile
β—ˆ30.04
8. Grace Sullivan Β· Product Β· growth
β—ˆ27.23
9. Noah Ward Β· Data Science Β· analytics
β—ˆ24.09
10. Mason Johnson Β· Acme
β—ˆ13.99
11. Emily Wilson Β· Data Science Β· analytics
β—ˆ1.28
12. Henry Parker Β· Data Science Β· analytics
β—ˆ0.73
Recommended actions
↑
Give Amelia +30 & Grace +15 β€” consistently heaviest.
↓
Trim Chloe & Noah back to the pool.
β™»
Reclaim Evelyn's idle seat β€” no spend this run.
⚠
Investigate Amelia β€” burning tokens fast.