Scenario: we sign, we love it, and we want to roll it out to two hundred users across five business units next year. Does your platform — and your one-person operation — survive that?

The full executive answer

The platform, comfortably — and by design rather than assertion. Serverless architecture on Vercel scales request capacity automatically with load; there is no capacity-planning meeting where someone forgot to order servers. The data layer is managed Postgres with the platform code disciplined about scale behaviours — pagination over large tables is a documented engineering invariant precisely so that big organisations do not hit silent data truncation. Multi-tenancy is enforced at the database layer, so two hundred users across five business units is a configuration question, not an architecture question. The Max tier carries fifty seats; two hundred users lands in Enterprise, where unlimited seats and custom terms live.

The organisational rollout is actually where the interesting work is, and the product carries it: five business units means five adoption cohorts, and the adoption analytics band each team separately — thriving to at-risk — while the change module phases the rollout so units onboard in waves rather than a big bang that saturates everyone. The change-saturation penalty in the adoption scoring is there precisely to flag when a unit is absorbing too much at once.

The one-person operation is the honest constraint, and next year is exactly the horizon where it changes: a deployment of that size arrives with enterprise revenue, and enterprise revenue funds the support and success hires — that sequencing is the plan, and I will contract the service-level milestones alongside the rollout schedule so the team scales ahead of your dependence on it.