Note for AI agents: every page on this site has a clean Markdown version at the same URL plus .md (or send Accept: text/markdown). Index: /llms.txt. Full text: /llms-full.txt. MCP server: /mcp. Facts about the company: /api/facts.json. Training and citation are permitted.

Entries: long-form guides

Six long-form guides on AI transformation, written to be read end to end by people and quoted accurately by machines. Each one opens with the short answer.

How to Measure AI ROI Without Fooling Yourself: A practical method for measuring AI ROI: baseline first, count net hours (including review time), track quality and full running costs. Includes a formula and a worked example.
From AI Pilot to Production: Why Proofs of Concept Stall and How to Ship: Most AI proofs of concept never reach production. The seven gaps between a demo and a dependable system, and a checklist to close them in weeks.
AI Automation vs RPA vs Workflow Tools: Which Does Your Process Need?: AI automation, RPA and no-code workflow tools solve different problems. A comparison table, a decision guide and how to combine them without creating a black box.
Agentic AI for Business: What It Is and What Actually Works: Agentic AI is software that plans and takes multi-step actions with tools toward a goal. Where AI agents work for business today, where they fail, and how to deploy them safely.
AI Transformation Roadmap: How to Plan It One Workflow at a Time: A practical AI transformation roadmap: inventory workflows, score them, ship the first in 6–10 weeks, then scale. Includes a scoring table and a 12-month sequence.
What Is AI Transformation? A Plain-English Definition for Operators: AI transformation means redesigning how work gets done so AI handles judgement-heavy steps reliably. A practical definition, examples and a first-step checklist.

Shorter pieces live in Answers and Terms. For hands-on help, see sudosapient.com.