Make AI-assisted decisions reviewable.
TruncAI-OTiX is an experimental reference architecture for governed, evidence-backed AI-assisted workflows. It preserves the chain between human intent, information sources, AI analysis, recommendation, human decision and evidence — without giving the AI operational control.
As AI systems and agents become part of real workflows, a plausible answer is not enough. Teams may need to reconstruct what was asked, which sources and tools were used, what the AI was allowed to do, where uncertainty was recorded, and what the human ultimately decided.
The current baseline is deliberately consultative: observe, analyse and recommend within an authorised scope. It does not autonomously issue operational changes or control physical systems.
The public demonstrator is designed to use local, synthetic or sanitised information. The energy domain is used only as a reference workflow; there is no operational control over energy equipment.
“Review the observed anomaly and compare it with recent authorised context before taking any operational action.”
CONSULTATIVEHUMAN REVIEW REQUIREDUNCERTAINTY RECORDEDTruncAI-OTiX is presented as an internally verified reference baseline within a controlled, non-operational scope. External technical, legal and sector-specific evaluation remains necessary.
The next stage is external evaluation: technical assessment, integration assessment, licensing or technology transfer / acquisition. Public materials will be released progressively while restricted evidence, real datasets and transfer-sensitive assets remain private.