As AI agents grow, vendors carve out decision-making as a separate model layer

“Each model’s confidence score carries its own meaning. A probability of 0.8 from Clef, Decider, and Luna will not reflect the same level of reliability, so thresholds tuned for one model will not transfer to another. An enterprise that switches vendors, or runs several, has to recalibrate every threshold on its own data,” Chaturvedi explained.

Enterprises will also need to address the issue around growing decision schemas, Chaturvedi added.

“Every question, answer set, and threshold encodes a piece of business policy, such as when a refund needs approval or what counts as a critical incident. As teams create hundreds of these, they become a new body of logic that needs version control, ownership, and review, much as prompts did before them. Enterprises that fail to govern these schemas will end up with conflicting decisions across teams.”

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