AI Startups Must Be Enterprise Ready
Michael Grinich, CEO of WorkOS, on AI startups getting enterprise-ready at launch
Enterprise security features are becoming table stakes, which shifts competition back to product quality and speed. WorkOS is trying to turn things like SSO, directory sync, audit logs, permissions, and fraud controls into shared infrastructure that any startup can plug in fast, instead of each company spending years building them before it can sell to larger customers. That matters because these requirements have moved downmarket from huge enterprises into much smaller deals.
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WorkOS started with narrow add ons like SSO and SCIM, then expanded into a broader stack with AuthKit, admin setup, audit logs, fraud tooling, encryption, and fine grained authorization. The goal is to package the full checklist that blocks enterprise purchases into one developer workflow.
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This is changing the basis of competition in identity. Stytch frames WorkOS as the vendor teams pick when they already have auth and need to add enterprise SSO fast, while Clerk grew from drop in UI components and is now adding SCIM and audit logging. Competitors are converging on the same baseline feature set.
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The practical effect is that software buyers can choose based more on the actual app their employees use, not just whether the vendor built the compliance plumbing. That is especially important in AI software, where startups are reaching enterprise accounts within 6 to 12 months and cannot wait years to become procurement ready.
From here, enterprise readiness will look more like cloud payments or hosting, a standard layer most teams buy instead of build. As that layer gets cheaper and easier to adopt, the winners in application software will be the companies with the best workflow, best user experience, and fastest product iteration, not simply the ones that got to compliance first.