Control Plane for Enterprise Features
Michael Grinich, CEO of WorkOS, on AI startups getting enterprise-ready at launch
This reveals that enterprise feature delivery is really a control problem, not a speed problem. In a big company, software changes can disrupt trained workflows, support docs, approvals, and compliance processes, so customers want the ability to decide when a new screen, policy, or AI behavior appears. That is why WorkOS treats feature flags less like growth tooling for A, B tests and more like customer facing release controls tied to orgs, roles, and entitlements.
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WorkOS started with enterprise building blocks like SSO, directory sync, and user management. That matters because the same customer record and org model used to decide who can log in can also decide which company, team, or role sees a new feature. The flag becomes part of the account setup, not just a developer toggle.
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The closest standalone analogue is LaunchDarkly, which sells governance, approvals, audit logs, scheduled changes, and release pipelines for large organizations. That product shape shows where enterprise flagging goes over time, toward repeatable rollout workflows that satisfy IT and compliance teams, not just experimentation dashboards for product managers.
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WorkOS is aiming at a narrower B2B workflow. Instead of sending a feature to 5% of anonymous users, a SaaS vendor often needs to enable it for one customer account, then one department, then everyone after training and procurement sign off. That makes flags naturally adjacent to permissions, billing tiers, and customer success.
This is heading toward enterprise readiness being sold as a packaged control plane. As AI startups move upmarket in months instead of years, the winners will be the ones that can ship quickly while still letting customers stage rollouts, map features to plans and roles, and keep IT calm during every release.