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The hidden scaling cliff that’s about to break your agent rollouts
Enterprise teams hit a scaling wall when managing AI agents across departments. Writer's May Habib explains why traditional software development fails for agents and what Fortune 500 companies are doing instead.
Instead, Habib said it’s better to check if an agent behaved well, asking if fail-safes worked, evaluating outcomes and intent: “The goal here isn’t perfection It is behavioral confidence, because there is a lot of subjectivity in this here.” For example, Habib mentioned a major bank that collaborated with Writer to develop an agent-based system, resulting in a new upsell pipeline worth $600 million by onboarding new customers into multiple product lines. Traditional software maintenance involves checking the code when something breaks, but Habib said AI agents require a new kind of version control for everything that can shape behavior.
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