Net Token SpendSave 42% ($174.3K)
$245.7K$420.0K
148.0K sessions • 315 words/prompt
Shipped Output+8% Velocity
6.9KPRs Merged
20.4K Jira closed • 443 Exps shipped
PR Cycle BottleneckTest Wait: 5.4h
16.8hPR Processing
4.8 PR reviews/eng/wk
Active GuardrailsP85 Cap: $165
86%Semantic Cache Hit
1-Task Run: 16.4m p95 • 190 loops halted
Prescriptive ROI Engine
Next Best Actions (3 of 6 Enforced)
1
Enforce Role-Based 85th %ile Token CapAll Personas • Outlier Burn
-11.5% Spend • 0% Output Loss
2
Enable Vector Semantic Cache (Cosine ≥ 0.90)Anthropic & OpenAI • Duplicate Prompts
-14.5% Spend • -340ms Latency
3
Auto-Route Low-Complexity Prompts to Haiku / FlashClaude 3.7 Sonnet & GPT-4o → Tier-2
-15.5% Spend • +3% Throughput
4
Deploy Autonomous PR Test & Review SynthesisEngineering • CI/CD Validation
+16% PRs Merged • -34% Test Wait
5
Circuit-Break Single-Task Agent Runs > 12 MinsData Science & Eng • Recursive Loops
-7.5% Spend • -68% Runaway Tasks
6
Offload Batch SQL & Doc Gen to Internal VPC LLMSnowflake & OpenAI → In-VPC Llama-70B
-6.5% Spend • +18% SQL Velocity
Automated Policy Guardrail
Role Percentile Token Cap
Throttle / Re-route Usage Above:85th %ile ($165/seat)
75th (Strict)80th85th (Optimal)90th95th (Loose)
| Persona | Seats | P85 Cap | Fallback Action |
|---|---|---|---|
| Engineering | 2850 | $195/mo | Route → Haiku/VPC |
| Data Science | 420 | $240/mo | Route → Haiku/VPC |
| Data Engineering | 510 | $210/mo | Route → Haiku/VPC |
| Product Management | 640 | $115/mo | Route → Haiku/VPC |
| Sales | 1650 | $85/mo | Route → Haiku/VPC |
| Analyst | 780 | $120/mo | Route → Haiku/VPC |
Outlier seats auto-routed this period:1113 seats