Research
Active Discovery of Hidden Business Cascades under Rule Drift
Hidden business dependencies and cascades as operational rules change.
Hidden business dependencies and cascades as operational rules change.
Time-consistent evidence drawn from documents and transactional records.
Context scheduling when cached information expires and human approvals take time.
Business-semantic consistency, contract checks, and failure diagnosis across languages.
Tool discovery that accounts for dependencies in changing enterprise catalogs.
Incremental updates to agent memory and plans after business evidence changes.
Clarification planning when agents share a limited question budget.
Task-graph repair through audit-guided recomputation and full-context rewriting.
Interactions among memory, approval, execution, and recovery across an agent lifecycle.
Evidence-guided recovery when tool outcomes are ambiguous or execution is partial.
Verification of generated SQL as business meanings and rules change.
Change detection when an AI agent resumes a paused task.