Box evaluates GPT-6 Astra on enterprise workloads
Box evaluated OpenAI's GPT-6 Astra on complex corporate records with overlapping and contradictory tax-incentive structures. The model successfully resolved conflicting multi-document financial data and avoided pitfalls like double-counting pre-applied deductions.
Real-world enterprise document reconciliation—not synthetic math contests—is becoming the true litmus test for frontier reasoning models.
- –Precision over volume: Accurately untangling contradictory tax incentives and avoiding deduction double-counting demonstrates the level of rigorous semantic tracking required for enterprise compliance and auditing.
- –Moving beyond surface RAG: Enterprise value requires models that do not just retrieve relevant clauses, but synthesize and cross-verify conflicting figures across disparate corporate files.
- –Unlocking high-judgment back-office automation: Strong performance on intricate business logic clears a major bottleneck for deploying autonomous AI agents directly onto enterprise content platforms like Box.
DISCOVERED
1h ago
2026-09-21
PUBLISHED
1h ago
2026-09-21
RELEVANCE
AUTHOR
OpenAI