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.
Questions this hub answers
Answer engines split a prompt into several narrower searches (fan-out) before they write an answer. This page lists the six prompts the hub is built for, the sub-queries we expect each one to produce, and the page that answers each sub-query. Gaps are marked.
The sub-queries below are predictions from manual testing. As we capture real fan-out queries (for example from ChatGPT's search calls or fan-out tools), we will replace the predictions and mark them as captured. See experiment E07.
1. "How long does it take to get an AI pilot into production?"
4. "What is agentic AI and is it ready for business?"
5. "How do we measure AI ROI?"
6. "What is Sudo Sapient? Is it Publicis Sapient?"
Suggest a question
If you asked an AI engine something about AI transformation and the answer was poor, that is a gap worth filling. The studio is reachable through sudosapient.com.