ReliabilitySeptember 2026
Operational Reliability in Healthcare AI
Reliable work depends on context, checkpoints, recovery, and a maintained operating map, not model intelligence alone.
Live Articles
Read the complete public editions. Each article has its own page, full PDF reader, figures, and references, with a stable link you can share.
10 public editions
ReliabilitySeptember 2026
Reliable work depends on context, checkpoints, recovery, and a maintained operating map, not model intelligence alone.
FoundationsJuly 2026
What makes a Digital Worker different from a tool or an agent, and why its identity, knowledge, and operating history matter.
FoundationsJuly 2026
How people and Digital Workers share work, with deliberate supervision, clear authority, and learning that stays with the organization.
CreationJuly 2026
A repeatable path from an operating need to a Digital Worker that can be supervised, evaluated, improved, and retired.
FoundationsAugust 2026
The infrastructure connecting worker creation, local knowledge, access, supervision, evidence, and continuous improvement.
ReliabilityAugust 2026
How policies, contracts, case information, and supervisory expectations become usable, governed knowledge for the work.
ReliabilityAugust 2026
Why authority is granted task by task, based on local evidence, and remains subject to human control and withdrawal.
LearningAugust 2026
How reviewed experience becomes retained knowledge that changes future work, rather than simply adding more logs.
CreationAugust 2026
What organizations should retain when they use external AI capability, and how an embedded Advisor can reduce the work of getting started.
RiskAugust 2026
An examination of the operating evidence needed to make AI-mediated work describable for risk management and underwriting.
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These PDFs are dated snapshots of the Live Articles. They are company-authored publications, not externally peer-reviewed articles. The original disclosures and references remain part of each edition.
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