The inefficiency of separate customer support and success functions is prompting a shift to product-led models.

Manil Vasantha envisions a future without post-sales teams, where products are self-sufficient and intuitive.

Rushing into AI adoption without understanding it can lead to ineffective systems and workforce downsizing.

Vasantha advocates for a "human-in-the-middle" approach for effective data management.

His successful automation of Oracle's support cases highlights the potential of AI in streamlining operations.

AI powered companies are stepping in to provide lending support to an auto market in need of optimization.

Banks have pulled back from traditional lending and credit is maxed out for most borrowers, creating a situation where new credit options are needed to keep the market afloat.

Increased agent autonomy in AI models raises concerns about unsupervised "shadow actions" and the need for strong observability.

The rise of "agent designers" reflects new changes in systems architecture in AI, focusing on structuring and managing AI agents.

Future AI developments are likely to focus on domain-specific applications, improving AI's ability to perform specialized tasks.