Context Engineering: Managing Context Quality for More Efficient, Effective AI
Atlassian, Monday, October 19th, 2026
Atlassian argues context quality, not model quality, explains most AI pilot failures and is something enterprises can control.
Atlassian notes that companies spent $581 billion on AI in 2025, yet an MIT study found 95% of enterprise AI pilots had no bottom-line impact.
It argues that context, not the model, is the main problem.
Every AI answer is assembled from a context packet, and its quality determines how reliable the answer is and how many tokens it costs.
Unlike model quality, which a few frontier labs control, organizations can manage the quality of the context their agents use.