From Persistent Memory to Mission Working Sets: An Authority-Aware Context Lifecycle Architecture for Agentic AI
How should an agent admit the smallest authoritative context for a mission?
Public research artifact · version 1.1.0Research
Questions worth testing, not slogans worth repeating.
Hypothesis, evidence and status — kept separate from finished product claims.
Published research
Three frameworks, one clear entry point each.
Read the paper and its limits at the source of record.
Enterprise Agent Framework (EAF): Minimum Authoritative Working Sets and Closed-Loop Outcome Assurance for Enterprise AI Agents
How can enterprise agents bound authority and verify closed-loop outcomes?
Public research preprint · version 1.1.0From Agent Intent to Verifiable Mission Outcomes: Mission Capability Runtime 4.0
How can a bounded mission prove outcomes without confusing tool success with business-state proof?
Public-review research preprint · bounded syntheticActive research agenda
Questions still under investigation.
01Active experiment / preliminary
Digital Twin Fidelity
Can AI reproduce how an enterprise architect actually decides?
View experiment →024 themes
Governed Enterprise AI
How can enterprise AI act inside SAP and architecture constraints without exceeding human authority?
033 themes
Context & Decision Intelligence
How can evidence, context and uncertainty become inspectable architecture decisions?
043 themes
Engineering Reliability
How do AI-assisted engineering systems stay observable, performant and recoverable?