Start here · Text
A compact site guide
Page descriptions, canonical links, reading formats and original publications.
/llms.txtPublic reading formats · English
The same public content.
Ready to read, retrieve and cite.
These formats are generated from the pages served on this site. They preserve the public wording, canonical links, source attributions and text descriptions of the framework figures. No account or JavaScript is needed to read them.
The book: Forthcoming · Q4 2026 · English edition
Start here · Text
Page descriptions, canonical links, reading formats and original publications.
/llms.txtRead everything · Text
The complete text of the public pages in one document, with links and diagram transcripts.
/llms-full.txtBrowse · JSON
Page metadata, source references, Markdown locations and content hashes.
/agent-index.jsonRetrieve · JSON
The same Markdown text, grouped by canonical page and tied to the served HTML by a hash.
/agent-content.jsonChoose the original HTML or its generated Markdown representation.
The book, open framework and practical resources for the human–agent enterprise, by Ottaviano De Cicco.
Ottaviano De Cicco, technology executive and advisor, and author of AI-nterprise. Enterprise technology, digital transformation and AI governance.
A synthetic refund proposal tests an active mandate and current claim version. No payment is executed.
Read the full manifesto and essays by Ottaviano De Cicco on institutional design, organizational learning, and human judgment.
The institutional question behind the AI-nterprise framework.
Why human judgment and confidence must be assessed alongside machine output.
How an organization retains what it learns while using rented models.
AI-nterprise by Ottaviano De Cicco: the argument, open white paper and free printable resources.
Contact Ottaviano De Cicco about AI-nterprise and the governance of enterprise AI workflows.
Follow the AI-nterprise model visually: four decisions, three control planes and three coupled loops.
Definitions and exact formulations from the AI-nterprise framework, with direct term links and the source DOI.
Download Four Questions Before an Agent’s Answer Becomes Action: instructions, a process map, a filled example, and an open licence.
Publication dates below belong to the original works. A content hash identifies a site snapshot; it is not a publication date.
Cite a page by its canonical URL and retain the author, source, version and limits stated there. The original publications remain the references for their respective claims. The framework figures have text transcripts; motion and layout are available on the HTML pages.
The action-boundary demonstration and film are illustrations. They do not establish product capabilities or enterprise outcomes. These endpoints provide public reading material, not an API for executing actions.
The exports contain the public website. They do not include the unpublished book manuscript, private drafts, subscriber information or project files.
A reading format does not change the licence of a work. The worksheet and white paper retain the licences stated on their source pages; other author texts retain their existing copyright and attribution.
Contact the author