The article appears to argue that enterprises need more than LLM capabilities to adopt AI at scale. Its title shifts attention toward agent logic and how AI systems execute tasks in practice. Because the source text was not provided, the specific architecture, evidence, examples, and recommendations cannot be verified.
TechCrunch frames enterprise AI as entering a new phase, where companies are no longer mainly asking whether AI is exciting. The harder question is whether it can be deployed safely at scale. Centered on a TechCrunch Disrupt 2026 discussion with a Databricks co-founder, the article points to safety and broad rollout readiness as key enterprise AI deal concerns.
Payroll service provider Remote recently surpassed $300 million in annual recurring revenue and became cash-flow positive. The company attributes the milestone partly to AI adoption, saying revenue per employee rose 50% without adding headcount. The report does not specify which AI models, vendors, or internal workflows drove the improvement.