Industries with historically low software adoption (like trial law or dentistry) are now viable markets. Instead of selling a tool, AI startups are selling an outcome—the automation of a specific labor role. This shifts the value proposition from a software expense to a direct labor cost replacement.

AI enables "software does labor" business models in industries previously deemed too small for specialized software, like dental offices or trial law. By replacing or augmenting specific labor tasks, startups can justify high-value contracts in markets that historically wouldn't pay for traditional SaaS tools.

Instead of only selling to individual dental offices, Flossy leverages its deep relationships with private equity firms. By selling directly to the PE firms that own large dental service organizations (DSOs), they create an efficient top-down channel to sign deals covering hundreds of locations at once.

Use the continuous improvement loop of Autoresearch not for novel research, but to grind through operational finance tasks like invoice matching and expense reporting. This can be sold as a service or software with a clear ROI: "we cut your AP expense time in half."

Curative's credentialing department, responsible for verifying doctor licenses, was reduced to zero employees after they built an AI agent to handle the end-to-end process. The agent cut the turnaround time from 2-3 months to 12 hours and the cost from $50 to 20 cents, demonstrating AI's potential for full automation.

Practice by Numbers began as an analytics layer on top of core dental PMS. They strategically expanded by building solutions for all adjacent needs (payments, phones, booking), creating a comprehensive "practice in a box" that simplifies the tech stack and dramatically increases customer value.

Datycs' initial product, a patient chart summarizer for physicians, faced slow adoption from health systems. The company found a more viable business model by pivoting to solve an urgent problem for payers: processing massive volumes of unstructured documents for back-office operations.

A massive opportunity exists for service-based startups that help traditional companies become AI-native. The winning strategy is to niche down by industry (e.g., dentistry), function (e.g., marketing), and company size to create replicable workflows.

The founder of Medvy built a massive telehealth business by using a "telehealth in a box" platform for doctors, pharmacies, and compliance. This allowed him to focus exclusively on AI-driven branding and marketing to acquire customers at scale.