KPI Framework: Measure ROI for AI Agents and Automations
A compact, repeatable KPI framework and spreadsheet template to measure ROI for AI agents and automations, with sample calculations and testing cadence.
A compact, repeatable KPI framework and spreadsheet template to measure ROI for AI agents and automations, with sample calculations and testing cadence.
A practical guide to using short‑lived credentials and audit trails so AI assistants can access sensitive systems safely—patterns, checklist, and sample architecture.
Practical, step-by-step guide to obtain informed consent and protect likeness when producing AI-generated videos—forms, tech provenance, contract language, and response.
A step-by-step checklist to evaluate third-party AI plugins for Slack, CRMs, IDEs, and productivity tools—covering threat models, data flows, tokens, permissions, and vendor questions.
Step-by-step, non-technical guide to pilot a safe AI agent for a small team: define scope, choose lightweight tools, add human-in-loop gates, logging, rollback, and an acceptance checklist.
Run a practical prompt injection testing program for public web pages: hands-on checks, detection heuristics, sanitization rules, CI tests, monitoring, and incident playbook.
A practical non-engineer playbook for human-in-the-loop AI checks: where to place review, lightweight workflows, decision thresholds, sampling, escalation and templates.
A practical checklist to vet AI agent vendors: 12 essential questions across security, capability, reliability, privacy, integration, costs, and exit planning.
Step-by-step guide to building a copyright-safe AI image pipeline: source checks, model & prompt choices, provenance metadata, watermarking, audits, and response actions.
Practical guide to picking vector stores, embedding types, chunking, similarity metrics, testing recipes, and cost-control tactics for reliable RAG systems.
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