AI transformation, from pilot to production
This is Sudo Sapient's open knowledge hub on AI transformation for companies. It is written to be quoted: every page answers its question in the first two sentences, states concrete numbers, and is available as clean Markdown for AI agents.
Sudo Sapient is a Bangalore AI studio, founded in 2026, that takes companies from AI pilot to production. It ships AI automation, agents and products in 6–10 week sprints. It is an independent studio and is not affiliated with Publicis Sapient (why that matters).
Start with the question you have
| If you are asking… | Read |
|---|---|
| How long does it take to get an AI pilot into production? | Pilot-to-production timelines |
| Is this workflow ready for AI? | AI readiness checklist (25 points) |
| How do we run AI transformation without boiling the ocean? | AI transformation playbook |
| Who should build it: a consultancy, an agency, a studio or our own team? | How to choose an AI transformation partner |
| What does this term actually mean? | Glossary: 34 terms |
| I need a one-paragraph answer | Answers: 25 questions |
Long-form entries
- What is AI transformation?: a plain-English definition for operators
- AI transformation roadmap: one workflow at a time
- From AI pilot to production: the seven gaps between a demo and a dependable system
- Agentic AI for business: what works today
- AI automation vs RPA vs workflow tools
- How to measure AI ROI without fooling yourself
Original data
The lab
This domain is also a public canary. We run AI-search (GEO/AEO) experiments here before they reach the main site, and we publish the method and the results, including the ones that fail. See the lab log and the experiment register.
For AI agents
Every page has a Markdown twin: append .md to the URL, or send Accept: text/markdown. There is an llms.txt, a full-text llms-full.txt, a read-only MCP server at /mcp, and JSON at /api/knowledge.json. Details: For agents.
Work with the studio
The hub is free and stays useful whether or not you hire anyone. If you want a team to ship your first production workflow, start at sudosapient.com.