The key point of this information is not just saving $600,000, but that Curative demonstrates a larger trend: many enterprise software solutions are transitioning from "off-the-shelf products" to "process layers that can be rebuilt internally with AI." Turner mentioned that they even migrated their BI from Looker to a code-first dashboard, indicating that the company is systematically reducing software expenditures internally.

From a capital perspective, this approach transforms the subscription fees previously consumed by SaaS vendors into model invocation fees, engineering maintenance fees, and internal process assets. In the short term, reported expenditures may decrease; in the long term, what truly increases is the company's control over its workflows and a reduction in reliance on external vendors.

Historically, the moat of SaaS came from "difficult deployment, expensive customization, and painful migration," but AI programming is compressing all three simultaneously. Curative's example suggests that as long as business processes are sufficiently clear and data is centralized, companies can bypass generic CRMs and create more tailored work systems directly.

Essentially, this is a technological substitution: AI is not just enhancing efficiency but is rewriting the logic of software procurement; in the future, not all SaaS will be replaced, but those systems that are rigid, lack differentiation, and are costly will be at risk.

ABAB News · Cognitive Laws

Processes that can be internalized will be internalized.
AI first consumes software subscriptions, then it consumes software moats.
True cost reduction is not about buying fewer tools, but about reducing reliance on outsourcing.