Foundations and architectures of Human–AI
Hybrid Knowledge Ecosystems for
project-based organizations
Based on the INSPIRE PM framework and Project Management Evolutive (PME)
FEATURED PAPER
By Antonio Bassi
Lugano, Switzerland
Knowledge is not what is preserved, but what is made to circulate in the act of deciding.
— adapted from I. Nonaka & H. Takeuchi
An ecosystem is not the place where parts coexist; it is the logic that makes them interdependent.
— conceptual reworking by the author
Preface: A necessary paradigm shift
We live in an age in which projects generate oceans of data. Schedules, risk registers, conversations, forecasts, sustainability metrics, approvals, escalations: every phase of every project leaves digital traces in unprecedented quantities. Yet many organizations find themselves, paradoxically, richer in information and poorer in judgment.
This text arises from a precise conviction: the central problem of contemporary project management is not access to tools, nor the availability of data. It is the ability to transform fragmented information into reliable, traceable, and actionable knowledge; and to do so within socio-technical architectures in which human beings and artificial intelligence systems collaborate under explicit governance rules.
The concept at the heart of these pages is the Human–AI Hybrid Knowledge Ecosystem, or HA-HKE. It is neither a product nor a methodology. It is a way of understanding the project organization as an ecology of knowledge: a system in which what matters is not only what is known, but how knowledge is produced, by whom it is validated, where it moves, and to which decisions it is connected.
The challenge is not to adopt AI. It is to design the ecosystem in which AI and human beings can collaborate responsibly.
The ideas developed in these pages are rooted in the INSPIRE PM framework and in the broader conceptual foundation of Project Management Evolutive (PME). INSPIRE PM is not a rigid methodology: it is a flexible architecture that integrates innovation, sustainability, analytics, responsiveness, and efficiency. PME, in turn, frames projects as adaptive ecosystems in which learning, adaptability, and data-informed decisions are foundational elements.
The text is organized into ten chapters, following a path that moves from diagnosing the problem, to building the concept, to the architecture of hybrid ecosystems, and finally to practical governance tools and criteria for measuring value. Each chapter is conceived as a step forward in the same argument: the sustainability of project management depends on the quality of the knowledge ecosystem that supports it.
- The fragility of knowledge in contemporary projects
There is a widespread illusion in the world of project-based organizations: confusing the availability of information with the availability of knowledge. The two concepts are not equivalent. Information exists in systems, databases, and project management platforms. Knowledge requires something more: interpretation, context, validation, and connection to real decisions.
In organizations that live through projects, formal knowledge is visible in plans, schedules, budgets, change logs, and progress reports. Informal knowledge—the knowledge that truly guides decisions—lives in team experience, in the situational judgment of project managers, in the tacit expectations of stakeholders, and in organizational memory that has never been written down anywhere.
The asymmetry between knowledge production and knowledge governance
For decades, the response to the problem of project knowledge has been the creation of repositories. Systems have been built to archive what was produced: lessons learned at closure, standardized templates, project documents. This approach has its own logic, but it is insufficient. It treats knowledge as something to be preserved, rather than as something that is continuously produced, questioned, and transformed throughout the project lifecycle…
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How to cite this paper: Bassi, A. (2026). Shared Intelligence: Foundations and architectures of Human–AI Hybrid Knowledge Ecosystems for project-based organizations; PM World Journal, Vol. XV, Issue VI, June. Available online at https://pmworldjournal.com/wp-content/uploads/2026/06/pmwj165-Jun2026-Bassi-Shared-Intelligence-Foundations-and-Architectures.pdf
About the Author
Antonio Bassi
Lugano, Switzerland
Antonio Bassi is an Electronic Engineer by training, certified Project Management Professional (PMP), member of the Steering Committee of the Project Management Institute – Northern-Italy Chapter (PMI-NIC) from 2004 to 2008, Lecturer in Project Management in academic settings, President of the Association Project Management Switzerland (APM-Switzerland), author of numerous books and articles on project management, former member of the UNI team for the definition of ISO21500 standards for Project Management, with 20 years of experience as Project/Program Manager on innovative projects across various market sectors.
Antonio can be contacted at antonio.bassi60@gmail.com
To view other works by Antonio, visit his author showcase in the PM World Journal at https://pmworldlibrary.net/authors/antonio-bassi/
