Mappings
Connect AI usage to business margin
Raw AI usage is just rows of tokens. Mapped to AcmeOps AI tenants, plans, features, and models, it becomes margin risk Costara can name and act on.
Tenant
Plan, revenue, AI budget, target margin.
Feature
Owner team and business function.
Model
Provider and seeded list price.
Tenant mapping
5 tenantsEach tenant carries a plan, monthly revenue, AI budget, and target gross margin. This is what turns AI cost into a margin signal.
- Total managed revenue
- $36,500
- Total AI budget
- $11,900
| Tenant | Plan | Monthly revenue | Monthly AI budget | Target margin |
|---|---|---|---|---|
| Northstar Logistics | Enterprise | $9,000 | $3,000 | 65% |
| Atlas Health | Enterprise | $14,000 | $4,500 | 65% |
| Redwood Finance | Growth | $6,500 | $2,000 | 70% |
| BrightCart | Growth | $4,200 | $1,500 | 70% |
| Apex Legal | Starter | $2,800 | $900 | 70% |
Feature mapping
5 featuresEach product feature is owned by a team and serves a business function. Costara routes margin risk back to the people who can act on it.
- Customer-facing revenue feature
- 4 features
- Customer support automation
- 1 feature
| Feature | Owner team | Business function |
|---|---|---|
| Contract Analyzer | Legal Tech Team | Customer-facing revenue feature |
| Document Q&A | Knowledge Team | Customer-facing revenue feature |
| Research Assistant | Research Team | Customer-facing revenue feature |
| Summarization | Content Team | Customer-facing revenue feature |
| AI Support Copilot | Customer Success | Customer support automation |
Model mapping
6 modelsEvery model has an explicit list price per million tokens. Costara never defaults a model to zero cost.
- Most expensive
- Claude Opus 4.7
- Cheapest
- Llama 3.3 70B
List price per million tokens
- Claude Opus 4.7$25
- GPT-5.5$20
- Gemini 2.5 Pro$6
- Claude Sonnet 4.6$5
- GPT-5.4$4
- Llama 3.3 70B$1
| Model | Provider | List price per 1M tokens | Pricing source |
|---|---|---|---|
| GPT-5.5 | openai | $20 | Seeded demo value, verify with OpenAI |
| GPT-5.4 | openai | $4 | Seeded demo value, verify with OpenAI |
| Claude Opus 4.7 | anthropic | $25 | Anthropic list pricing |
| Claude Sonnet 4.6 | anthropic | $5 | Anthropic list pricing |
| Gemini 2.5 Pro | $6 | Google Gemini API, up to 200K prompt tier | |
| Llama 3.3 70B | meta | $1 | Together AI serverless pricing |
Demo prices are simplified blended cost per million tokens for unit economics. Claude Opus 4.7 and Claude Sonnet 4.6 follow Anthropic list pricing. Gemini 2.5 Pro follows Google Gemini API pricing for prompts up to 200K tokens. Llama 3.3 70B follows Together AI serverless pricing. OpenAI GPT-5.5 and GPT-5.4 use seeded demo values; verify with OpenAI pricing before production use.
Why mappings matter
Mappings are how Costara turns AI usage into margin risk.
Without these mappings, AI usage is just rows of tokens. With them, Costara names the unprofitable tenant, the risky feature, and the cost driver model, and recommends the action that protects gross margin.