AI Cost Engineering Templates — 44 Templates & Worksheets for Token Economics, Routing, Caching, Budgets & FinOps Control

## The bill is not the problem. Not being able to explain it is.

Production AI spend scales with success in a way that can punish it: every new user, feature, and agent step adds to a meter nobody owns. **AI Cost Engineering Templates** is the working layer that fixes that: 44 copy-paste templates and worksheets organized the way the discipline actually runs — see the money, spend it wisely, control it with budgets and attribution, price on real unit economics, then prove the whole estate with a full audit.

Every template carries the source book's tested positions as defaults you keep unless you replace them: the nine cost categories and their drivers, the per-request cost formula computed at p50 and p95, difficulty bands and golden-set proof before any model is downsized, cache break-even math that includes the people who maintain invalidation, agent budgets enforced by the runtime rather than pleaded for in a prompt, burn-rate alerts that fire before the month is ruined, and a readiness capstone re-run every quarter. Bracketed fields are yours to fill.

One honesty rule governs every number in this pack, exactly as it governs the book: provider pricing changes constantly, so every price and percentage the book gives is labeled illustrative — a planning figure from the book, at the book's date. These templates teach you to compute your savings from your own attributed actuals; they never promise you a percentage.

### What's inside — 44 templates & worksheets in 9 sections

**1. Cost Visibility & Bill Decomposition (5)** — Bill Decomposition Worksheet · Fully Loaded Feature Cost Worksheet · Shadow Spend Audit Checklist · Starter Metrics & Thresholds Sheet · Request-to-Ledger Tagging Map

**2. Token Economics & Prompt Budgets (5)** — Per-Request Cost Formula Worksheet · Prompt Token Budget & Audit Checklist · History, Context & Reasoning Control Sheet · Cost Calculator Input Sheet · Token Fluency Implementation Checklist

**3. Model Routing & Rightsizing (5)** — Difficulty Audit Worksheet · Fleet Card Template · Routing Strategy Selection Worksheet · Golden-Set & Shadow Graduation Protocol · Routing Overhead & Net-Savings Report

**4. Caching & Batching (5)** — Cache Layer Selection Worksheet · Cache Break-Even Worksheet · Prompt-Cache Prefix Checklist · Batch Candidate & Deadline Routing Sheet · Cache Safety, TTL & Purge Checklist

**5. RAG & Agent Cost Guardrails (5)** — RAG Inflation Control Sheet · Agent Budget Shell Specification · Agent Cost Metrics Dashboard Sheet · Retry, Loop & Circuit-Breaker Checklist · Bounded Agent Implementation Checklist

**6. Self-Hosting & GPU Break-Even (4)** — Own-vs-Rent Decision Worksheet · Break-Even Volume Worksheet · Utilisation & Hidden-Cost Audit · Hybrid Baseline/Peak Plan

**7. Observability, Attribution & Governance (6)** — Per-Request Attribution Record Specification · Tagging Standard & Untagged-Spend Control Sheet · Five-Views Attribution Review Sheet · Budget Structure Worksheet · Alert, Limit & Degradation Playbook · Monthly FinOps Review & Roles Sheet

**8. Pricing, Forecasting & the Savings Program (5)** — Ranked Savings Lever Plan · First-90-Days Savings Program Plan · Unit Economics & Margin Worksheet · Pricing Model Selection Worksheet · Driver-Based Forecast & Scenario Sheet

**9. The Full Audit & Readiness Capstone (4)** — Full Cost Audit Protocol · Audit Findings Table Template · One-Page Audit Report Template · AI Cost-Readiness Capstone — the book's own readiness checklist: eight groups, each verified with evidence, re-run every quarter

### Who this is for

Platform and AI engineers staring at a provider invoice, product managers whose AI feature's margin just went negative, FinOps practitioners extending cloud discipline to AI spend, and founders whose cheap demo became a line item. If you run at least one AI system in or near production and pay for inference by the token or by the seat, start at Template 1.

### What this pack is not

- **No current vendor or model pricing.** Every rate in the book and in these templates is labeled illustrative, because pricing changes constantly. The worksheets tell you where to substitute your provider's current prices — they never present a book figure as today's price, and there is no pricing database or named-model price comparison.

- **No savings guarantee.** The book's lever ranges and worked examples (Northbeam, BrightHarbor, Meridian, Harborline — all fictional companies, as the book states) are method demonstrations and planning figures. Your savings are computed from your own attributed actuals, or they do not exist.

- **No training or fine-tuning cost templates.** This pack covers ongoing production inference spend only — the book's stated scope. Training-side economics are a different book's subject.

- **No software tool, spreadsheet file, or dashboard product.** The book's calculator listing and budget-wrapper pattern appear as input sheets and specifications you adapt in your own stack. What ships is the template pack: PDF + Markdown source.

- **No vendor selection, GPU procurement, or provider-console setup guides.** The own-vs-rent worksheets decide with factors, formulas, and utilisation evidence; they name no hardware, score no vendors, and walk through no vendor's console.

- **No real-world benchmarks or case-study results.** Every worked example in the source is fictional and illustrative by the book's own declaration; nothing here is presented as a measured result from a real company.

### Companion products

The **RAG Architecture Templates** and **MCP Architecture Templates** packs hold the engineering templates for the systems this pack meters; the **Agent Evaluation Toolkit** holds the golden-set and evaluation machinery the routing templates depend on; the **Enterprise AI Adoption Checklist** runs the rollout program around all of them. This pack is the cost discipline that keeps every one of those systems affordable to run.

*Note: the $99 Architecture Templates Bundle currently contains Products #1–#3 only. This pack launches standalone; no bundle inclusion is promised for this product.*

Built from **AI Cost Engineering: FinOps for Production AI**, the cost-engineering volume of the author's AI Systems Architecture series.

### About the author

Naveen Kumar Josyula is the author of 35 AI books on Amazon KDP and the CEO and founder of AISoltrics Technologies Inc. He is the author of the source book for this pack, *AI Cost Engineering: FinOps for Production AI — Token Economics, Model Routing, and Cost Control at Scale*. These templates are distilled from that book — the same worksheets, formulas, and gates, in reusable form.

### Support promise

If anything in this file is wrong or unclear, email support@aisoltrics.com before you judge it — we fix verified issues within one business day and send you the corrected file free. (You can also reach the founder's office at aadhya@aisoltrics.com.) Updates to this product are free to past buyers via your Payhip library. Sold by AISoltrics Technologies Inc.