AI SaaS

AI-Powered SaaS Suite

A full multi-tenant SaaS with AI content generation, smart search and usage-based billing — from zero to paying customers.

Next.jsTypeScriptStripeOpenAIPostgres

At a glance

What this shipped

The numbers that mattered to the client — measured before and after.

10 weeks
Time to first revenue
Usage-based
Billing model
Row-level
Tenant isolation
6
AI features shipped

The problem

What we were called in to fix

A founder had validated demand for an AI writing and research tool but had only a Figma prototype. They needed a real, billable, multi-tenant product — not another demo — fast enough to start charging before runway ran out.

The hard parts weren't the AI calls; they were the unglamorous essentials: team accounts, roles, usage metering, billing that matched real consumption, and a search that actually found things.

Our approach

How we actually built it

No magic — just the right architectural calls in the right order.

We shipped a multi-tenant foundation first — organizations, roles, invites and row-level data isolation — so every later feature inherited access control for free.

Usage-based billing wired straight to Stripe: every AI action emits a metered event, so invoices reflect real consumption instead of flat tiers nobody trusts.

AI features (generation, summarization, auto-tagging) sit behind a shared queue with per-plan quotas, so one heavy user can't degrade everyone else.

Hybrid search — keyword plus vector — over user content, so results are both precise and semantically relevant.

The outcome

What changed for the client

Launched to first paying customers in ten weeks, billing on real usage from day one.

Per-plan quotas and model routing kept gross margin healthy even as AI usage grew.

The multi-tenant core let the team add two more AI features later without touching auth or billing.

Tech stack

Every meaningful piece

Next.jsTypeScripttRPCStripeOpenAIpgvectorPostgreSQLRedisVercel

We don't do generic case-study writeups. Want the unredacted version with names, screenshots and architecture diagrams? We share those on a call.

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