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One Changed Assumption Reopened Only the Dependent Decisions
BoardroomAI routes human interventions through a typed decision graph, preserving unaffected work and abstaining when repaired context is insufficient.
Summary
BoardroomAI routes human interventions through a typed decision graph, preserving unaffected work and abstaining when repaired context is insufficient.
The prototype represents evidence, assumptions, constraints, claims, objections, alternatives, risks and decisions as a dependency graph. A human intervention compiler updates that graph and selectively reactivates specialists. Across 600 synthetic decision-DAG changes, propagation matched exhaustive impact calculation while inspecting 14.59 percent of nodes. In a 12-case pilot it preserved every gold-unaffected node, produced six valid updated decisions and abstained on six others. All results are synthetic and prototype-level, as the authors state.
Why it matters
BoardroomAI routes human interventions through a typed decision graph, preserving unaffected work and abstaining when repaired context is insufficient.
Limits and context
No additional limitation was separately recorded.
Key claims
BoardroomAI routes human interventions through a typed decision graph, preserving unaffected work and abstaining when repaired context is insufficient.
Evidence: source-2026-08-14-016
Sources
- arXiv preprint 2608.13046arXiv · primary research
Corrections
No corrections have been recorded for this story.