Field guides
Checklists and decision tools for teams building, buying, deploying, or investing in software and AI.
Five practical guides
Each guide turns a broad question into the evidence, economics, and operating choices that matter.
Acquisition field guide
A decision-oriented software technical due diligence checklist connecting code, architecture, security, operations, management claims, and Day 1 action.
Read the guideAI acquisition diligence
A transaction-specific AI due diligence framework covering models, data rights, provider concentration, economics, evaluation quality, operations, and governance.
Read the guideAI decision framework
A practical AI build-versus-buy framework comparing build, buy, compose, and stop across cost, control, risk, time, and full-lifecycle operation.
Read the guideProduction field guide
A decision-oriented AI production-readiness checklist covering representative evidence, release authority, rollback, incident response, monitoring, and change control.
Read the guideFunctionFoundry field guide
A full-cost framework for AI agent economics across tokens, tools, retries, CI, integration, evaluation, review, remediation, maintenance, and accepted outcomes.
Read the guideDecision already live?