Tegrity.AI is an applied research and technology programme of The Integral Management Society, developing architectures, operational technologies and applied research for the integrity of AI-enabled complex systems.

The Society is a Geneva-based Swiss non-profit association focused on the review and development of standards, architectures and technologies for the common good. Under the Society’s statutes and governance, Tegrity.AI may operate under its own name and represent the Society within the fields assigned to the programme, subject to its approved mandate and applicable authorisations.

The work connects architectural research, operational technologies, technical papers, reference models, validation, pilots and contributions to international standards and policy.

Our vision is broad. Our work is concrete.

§ 02

Research architecture

Structural Awareness is the umbrella research architecture connecting the programme’s work on how organisations and AI-enabled systems detect divergence between their representations, operating assumptions, control structures and operational reality.

Each work item in § 03 addresses a distinct form of structural divergence. Regime Awareness is the current priority: it selects causally admissible historical context for an existing forecasting, decision or control system rather than forecasting the future itself.

Semantic window as causal selection of admissible history: the selected base and current decision time delimit the historical support admitted for action, while the base is retained until causal invalidation requires re-anchoring. — **Figure 1A** — Semantic window: causal selection of admissible history. The selected base and current decision time delimit the historical support admitted for action; the base is retained while context remains causally admissible and re-anchored after invalidation.

Regime Awareness method boundary: observed history passes through an admissibility selector into a semantic window used by an existing forecasting, decision or control system; the selector has no direct future-value output. — **Figure 1B** — Regime Awareness governs context; it does not forecast the future. The admissibility selector determines which history may support an existing forecasting, decision or control system; only the downstream system produces a future estimate. Open the mathematical validation.

§ 03

Work items

Seven work items. Each addresses a distinct form of divergence between representation, operational reality, control structures and the capacity to act.

Ref	Work item	Discipline	Status
SA-01	Regime Awareness in Adaptive Systems	Detection architecture	Technology developed · Validation in progress
SA-02	The Cost of Clarity	Information economics	Field series published · Prospective TalTech supporting R&D route · RUP programme presented to Enterprise Estonia
SA-03	Human Intelligence Debt	Information architecture	Research line · Prospective TalTech supporting R&D route · RUP programme presented to Enterprise Estonia
SA-04	The Attribution Gap and Capability Loss	Capability theory	Foundational paper · WIPO observer-status route being formalised · framework envisaged for application in developing regions
SA-05	Informational Friction	Systems theory	Field series published
SA-06	AI Operational Integrity Architecture	Technical architecture	Feeds Tegrity.AI contributions to FG-AI4SSC (public input) and FG-TIDA (public working contribution)
SA-07	AI Integrity Management Architecture	Governance & policy	Management discussion

Work item references are internal identifiers for cross-reference between papers, contributions and pilots. They carry no external registration.

§ 04

Current priority — Regime Awareness

Regime Awareness is a technologically developed core capability now in validation. It examines whether an adaptive system can detect when its operating regime, assumptions, authority structures or control mechanisms are becoming invalid and respond before local deviations become systemic failures.

The capability builds on historically implemented operational technologies. Its current validation route supports the collaboration being formalised with QAVA/UV (Universitat de València). The historical systems-study line is documented through the Phylons networks series and the sXeil technical series. See the Regime Awareness roadmap for the phased route, and the Regime Awareness series for the papers.

Position
Umbrella	Structural Awareness
Core capability	Regime Awareness — technology developed, validation in progress
Validation collaboration	QAVA/UV (Universitat de València) — being formalised
Historical systems study	Phylons networks (2018) · sXeil orchestration (2017)

§ 05

Programme phases

01Conceptual Formalisation

Delimit Structural Awareness and its workstreams, define system boundaries and establish falsifiable research questions.

02Regime Awareness ValidationCurrent priority

Validate the developed Regime Awareness capability through defined tests and the collaboration being formalised with QAVA/UV (Universitat de València).

03Research and Technology Development

Develop the Cost of Clarity and Human Intelligence Debt research line through the proposed RUP Estonia route, with TalTech engagement subject to institutional and funding confirmation.

04Organisational and Academic Evaluation

Evaluate the relevant capabilities in organisational and academic settings, with independent review where applicable.

05Publication and Standards Contribution

Publish technical papers, reference materials and selected open implementations, and translate relevant findings into contributions to international standards and policy discussions.

§ 06

Standards contributions

Tegrity.AI contributes research findings and technical proposals to ITU-T pre-standardisation work. Each Focus Group has a distinct remit; the table separates that remit from our contribution.

Forum	Focus Group remit	Tegrity.AI contribution
ITU-T FG-AI4SSC	System-level integration of AI-enabled urban technologies: requirements, interfaces, coordination, interoperability and assessment for smart sustainable cities and communities.	Minimum Sufficient Control — an objective-led architectural property for determining the least coordination, intervention and enabling technology sufficient to keep an AI-enabled urban system aligned with its intended outcome.
ITU-T FG-TIDA	Trust management and interoperable digital identity for humans and agentic AI, including trust lifecycles, runtime control, human oversight and interoperability.	Regime-aware and capacity-aware human oversight — qualify the applicable control regime before escalation and preserve sufficient human capacity for meaningful intervention.

These Focus Groups provide open pre-standardisation routes whose technical outputs can inform later ITU-T standardisation work.

§ 07

Participation

Tegrity.AI works through contribution-based research and technology collaborations organised around defined questions, prototypes, pilots and validation.

Domain	Scope
Research & Architecture	Concepts, models and technical architectures.
Engineering, Pilots & Validation	Prototypes, field pilots and evaluation.
Academic, Standards & Policy	Review, validation and standards-related outputs.

Participation is contribution-based and tied to defined work and outputs.

EU AI Alliance membershipThe Integral Management Society is an institutional member of the EU AI Alliance / Apply AI Alliance stakeholder community. Tegrity.AI participates through the Society’s applied research, standards and technology work.

The current ecosystem includes The Integral Management Society S.A.S. de C.V. / JubAp.Net in Mexico and OÜ JUBAP / JubAp.eu in Estonia (registry code 16941644). Participation is scoped to the work and responsibilities agreed for each project.

§ 08

Publications

Series	Title	Status
Informational Friction	Why Selection Cannot See It	Field Note
The Attribution Gap	The Attribution Gap and Capability Loss	Foundational Paper · v8
The Attribution Gap	Attribution Gap Measurement Protocol	Measurement Companion · v2

Browse all publications and Field Notes. The full corpus index is maintained in the Structural Awareness Program.