Enterprise AI adoption

Enterprises don't adopt AI the same way individual users do. Before a large company deploys an AI tool broadly, it typically runs a security review, assesses data handling practices, checks regulatory compliance, negotiates a contract with service level agreements, and often requires a pilot with defined success metrics. This cycle can take months even when the product is genuinely good.

For AI builders targeting enterprise, this creates a specific GTM challenge: you need to be enterprise-ready before the conversation starts. That means clear answers on where data goes, whether models are trained on customer data, how to handle personally identifiable information, and what happens in a data breach. Companies that can answer these questions cleanly close faster.

In 2025, enterprise AI spend surpassed AI infrastructure spend for the first time, with more than half of enterprise AI budgets going to applications rather than foundational infrastructure. Enterprises are now active buyers, not just curious experimenters, which is pulling serious commercial traction to the application layer. The products winning enterprise deals tend to combine strong PLG adoption at the team level with a credible enterprise motion that satisfies procurement requirements.