Sep 15, 2026 · Industry Insights

Why Shared Data Doesn't Lead to Collaboration: The Missing Context Problem

The article explains that cross-department data sharing often fails to enable true collaboration because data loses its original context—purpose, applicability, responsibility, and feedback loops—when transferred via interfaces. It proposes a 'collaboration object' framework with four layers (source, purpose, responsibility, feedback) to turn data into actionable shared assets, referencing China's national data infrastructure guidelines.

Judgment Boundariescollaboration objectcross-department collaboration

0 likes · 11 min read

Why Shared Data Doesn't Lead to Collaboration: The Missing Context Problem

Frontline Investigation

Sep 8, 2026 · Industry Insights

Why Adding LLMs Doesn't Change Business Processes: Three Missing Boundaries

Integrating large language models into business systems often only accelerates existing steps without transforming workflows because organizations fail to define judgment, evidence, and responsibility boundaries, leaving AI outputs as unactionable suggestions that require manual re-review and coordination.

AI IntegrationBusiness Process AutomationEvidence Boundaries

0 likes · 12 min read

Why Adding LLMs Doesn't Change Business Processes: Three Missing Boundaries