Deal teams don't lose time on judgment calls. They lose it on document chasing. A typical FDD or QoE engagement starts the same way every time. Pull the trial balance. Request the general ledger detail. Chase down management reports that don't match the data room. Normalize EBITDA line by line, manually, against source documents that were never formatted for review in the first place. None of that requires expertise. All of it eats the hours that expertise actually needs. This isn't a small...

You approved the AI agent project. The demo looked great. Then the first invoice arrived. This is one of the most common moments in enterprise AI adoption right now. Teams build a working agent, ship it to production, and within 30 days they are looking at a cloud bill that is three to ten times higher than anyone projected. The agent is not broken. It is just expensive in ways that were never visible during testing. The problem is not the model. The problem is architecture. Token consumption...

AI systems have long been divided into those that reason and those that act. The ReAct framework collapses that divide — enabling LLMs to plan, retrieve information, and course-correct in real time using a structured Thought-Action-Observation loop.