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AI Guides & How-Tos
Practical guides for professionals using AI to save time and work smarter.
Where does AI fit your job?
Answer a few questions for a free 30-day AI plan for your exact role — what to automate first, and the prompts to do it.
Find my AI winsAI Spend Benchmarks: Cost per Employee, Engineer, and Workflow
What a credible AI-spend benchmark must disclose before it can be trusted: sample design, normalization, segments, percentiles, exclusions, underlying data, and revision history.
AI Spend Management: What to Track Beyond Tokens
A practical AI-spend taxonomy and ledger for FinOps teams: APIs, credits, subscriptions, embedded AI, infrastructure, services, ownership, and outcome signals.
ChatGPT Enterprise Usage and Spend Controls Guide
A FinOps guide to ChatGPT Enterprise analytics, credit usage, spend controls, seat patterns, unified Cost API reporting, and the critical boundary between a ChatGPT workspace and an OpenAI API organization.
Claude Enterprise Cost and Usage Analytics Guide
How to use Claude Platform, Claude Code, and Claude Enterprise analytics correctly: key types, endpoints, grouping dimensions, data freshness, known gaps, and a FinOps ledger mapping.
GitHub Copilot AI Credits: Billing and Budget Guide
How GitHub Copilot licenses, AI credits, budgets, cost centers, usage exports, and billing APIs work for organizations - with a practical configuration for managing power-user demand.
What Is FinOps for AI? A Practical Operating Model
A practical FinOps operating model for AI spend: visibility, allocation, forecasting, optimization, governance, and value measurement across APIs, subscriptions, coding agents, and infrastructure.