Businesses looking to create and expand AI agents need to understand that these systems are fundamentally different from traditional software. May Habib, CEO and co-founder of Writer, a software development company focused on deploying AI agents, points out that AI agents have unique construction, functionality, and enhancement traits, requiring a departure from standard software development methods when working with adaptive systems.
Habib highlighted that agents are outcome-driven, capable of interpreting and adjusting their behavior in real-world scenarios. Based on her knowledge, working with numerous enterprise clients, she noted that by the end of 2025, more than 350 companies from the Fortune 1000 and over half of the Fortune 500 are expected to implement Writer’s AI agents. The process of scaling agents can be quite challenging, particularly with non-deterministic technology, and although agents can be developed independently of traditional managers or designers, effective project management is still crucial for collaboration and continual advancement.
Habib stressed the importance of IT leadership in guiding business units through this new development approach. A goal-oriented strategy is necessary for defining AI agents’ purposes, which diverges from the predictability of conventional software design. While discussions about scaling abound, many clients still concentrate on building agents individually, raising vital questions around ownership and ongoing relevance to ensure that agents meet their objectives effectively. Habib warned of a potential “scaling cliff” crisis, where the ability to manage agents may lag behind development, underscoring the need for a thoughtful scaling strategy.
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