Token Fiscal Governance · 2026

Compass Advisors:
Navigating the Financial Architecture of AI.

Establish auditable cost controls, dynamic token routing, and fiscal governance across your multi-model AI infrastructure.

37%
avg. token spend reduction
<48h
to first audit signal
$1.2B
AI spend under governance
Architected for the modern AI stack
Kong
Shakudo
Portkey
Bifrost
LiteLLM
/ methodology

The hidden P&L of multi-model consumption.

Problem · Value erosion

Unoptimized consumption is silently compounding into your COGS.

Frontier-model spend is sprawling across 3–7 providers. Without a fiscal operating policy, gateway routing rules default to the most expensive path, KV caches go unreused, retries blow past budgets, and finance has zero visibility until the invoice arrives.

  • Token leak across redundant retrieval & retry loops
  • Cross-border egress + provider arbitrage left on the table
  • Premium-tier model usage for commodity workloads
  • No unit-economics tie-back to product or customer
Solution · Policy engine

A financial operating policy that runs at the gateway.

We codify your unit economics into your gateway — Kong, Portkey, Bifrost, LiteLLM, Shakudo — so every token is routed to the model, region, and tier with the best dollar-per-quality outcome. Auditable, reversible, finance-grade.

  • Dynamic routing tied to live unit-economics signals
  • Cost-per-customer attribution to your data warehouse
  • Cross-region failover that respects egress economics
  • Quarterly-reviewed governance with finance + platform
/ token economics calculator

Model the real cost of a token —
API providers vs. your own silicon.

Most TCO models miss the unsexy 40%: facility PUE, fabric capex, KV-cache HBM headroom, on-call SREs, depreciation, WACC, and gateway routing efficiency. Model your workload below.

01

Workload

users × per-user activity
Application preset
50 users × 20 req/day = 1,000 req/day1.13B tokens/yr
02

API provider

public pricing
03

On-prem model

open-weights frontier class
Recommended silicon
NVIDIA B300 288GB · 8× per replica
Weights ≈ 355GB · KV/activation headroom 80GB → 435GB HBM
04

CapEx & silicon depreciation

time value of money
05

Facilities & cooling

PUE, kWh, sqft
06

OpEx & ecosystem

people, software, risk
07

Workload dynamics

the idle penalty
Effective throughput ≈ 744 tok·s⁻¹ / GPU726.5B output tok/yr cluster-wide
Annual TCO comparison
On-prem wins · Δ $4,796
Anthropic API
$6,023
$5.32 / 1M tokens
On-prem (allocated)
$1,226
$5.60 / 1M tokens (fully loaded)
API$6,023
On-prem$1,226

On-prem cost composition

Total $4,067,607 / yr
Silicon depreciation
56.6%
$2,300,416
Cost of capital (WACC)
6.7%
$273,174
Power + cooling
3.3%
$132,875
Real estate
1.8%
$72,000
Ops engineering
21.6%
$880,000
Software + orchestration
5.5%
$224,000
Network + transit
2.4%
$96,000
Taxes + insurance
2.2%
$89,141
Total capex outlay
$5,751,040
compute $4,992,000 · fabric $544,000 · cooling $215,040
IT power draw
89.6 kW
1,060 MWh/yr @ PUE 1.35
Footprint
160 sqft
$72,000 / yr
Capacity utilized
0.0%
of 726.5B tok/yr
Break-even volume
764.22B tok/yr
at chosen API price
5-yr cumulative Δ
$23,982
savings on-prem
/ the offering

The Token Fiscal Governance Suite.

A quarterly subscription engagement. Three integrated workstreams, one fiscal policy engine, governed by your finance and platform leaders.

Engagement model
Quarterly · retained
Quarterly · deliverable

Token Economics & Topology Audit

Cross-border optimization study with token-leak identification across every gateway, model, and modality in your stack.

  • Routing topology map
  • Provider arbitrage windows
  • Leak & retry forensics
Continuous · monitoring

Production Telemetry Review

We instrument your gateways and continuously optimize routing rules against your fiscal policy as model pricing and quality move.

  • Cost-per-customer dashboards
  • Routing-rule pull requests
  • Anomaly & burn-rate alerting
Steering · committee

Dedicated Financial Engineering Advisory

A quarterly steering committee with your CFO, CTO, and our principal advisors to align AI unit economics with the P&L.

  • Quarterly business review
  • Capital-allocation framework
  • Direct Slack + on-demand access
Proprietary metric

The Dynamic Token Efficiency Index (TEI).

The global standard for AI unit economics — a single auditable score that benchmarks your dollar-per-quality token against the market and your own historical baseline.

Sample score
87.4
TEI · Q2 2026
/ engage

Begin with a Token Economics Audit.

A two-week diagnostic. We instrument one gateway, baseline your TEI, and surface the three highest-leverage routing changes — before you sign anything else.

Request an Audit hello@compass-advisors.ai