AI-Shaping Intelligence in Practice: Evidence from Project-Managing Shaped Intelligence
This paper presents a public-safe capability-evidence instance under the mediated-shaping approach through AI-shaping intelligence: project-managing shaped intelligence in project and business-as-usual (BAU) IT support contexts. Within the category, shaped intelligence carries a reusable and iteratively improvable domain work pattern and reusable work basis; in this paper, the evidence object is whether visible before/after transitions show two-sided work-burden shift moving from the responsible person to project-managing shaped intelligence while purpose, supplied context, judgement, review, approval, disclosure, escalation, communication, decisions and real-world action remain human-owned. The structured public evidence package has two evidence streams and one illustrative transfer-evaluation map. Supporting domain-extensibility evidence comes from the actual extension from vendor-evaluating shaped intelligence into broader project-managing shaped intelligence. Primary capability evidence comes from project-managing shaped intelligence tested in real project and BAU IT support contexts. The illustrative map shows a planned protected-stage cross-domain transfer evaluation into stock-evaluating shaped intelligence, followed only after materialisation and evaluation by possible extension into portfolio-managing shaped intelligence. It creates no stock- or portfolio-domain capability evidence, provides no financial advice and authorises no action. Section 10 is the controlling public evidence test; Appendix A provides lookup detail where a trace point needs checking. The permitted public conclusion is limited to initial capability evaluation and whether protected-stage discussion is justified. The paper is not implementation guidance, deployment assurance, reproducibility proof, measured-improvement proof, product-performance assurance, method transfer, financial advice, portfolio advice, investment-management assurance or a separate domain capability claim.
Authors
- Kurni Kwok
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-26
- DOI
- https://doi.org/10.5281/zenodo.21612962
- Primary Topic
- Software Engineering Techniques and Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00