AI for Laravel · SaaS
Ship the AI feature on your roadmap this month, not next quarter.
One production AI feature inside your multi-tenant Laravel SaaS, tenant-safe, tested and behind a feature flag.
Where AI pays off first in saas
In-app copilot
Answers from each tenant’s own data.
Smart search
Semantic search over your content.
Automation
Agents that run multi-step tasks for users.
Insights
Plain-English summaries of account data.
Onboarding
Drafts setup from a customer’s existing files.
Why build it inside your Laravel app
- Your data stays where it is: the AI reads your models with your existing permissions.
- It runs on the queues and jobs you already monitor.
- Your PHP developers can read, test and extend it.
What we've built in saas
We built our own multi-tenant voice-agent SaaS in Laravel 12: per-tenant databases, Stripe billing, CRM integrations, guardrails and agent test suites.
How a Sprint runs
- Days 1–2: codebase review
- Days 3–4: pick and scope the feature
- Days 5–12: build, with daily updates and PRs into your repo
- Days 13–14: ship behind a feature flag
Data and compliance
We design for your data rules: sensitive inference can run in your own cloud region or on a self-hosted model, every AI decision is logged, and PII can be masked before it reaches a model provider. We'll sign an NDA before seeing your code.
What to measure
Before launch we agree two or three numbers: accuracy on a held-out sample, time per case, and how often humans override the AI. They go in your admin panel from day one.
Common anti-patterns to avoid
- Shipping a “ChatGPT-but-for-X” wrapper that cannot see tenant data.
- Leaking one tenant’s data into another tenant’s prompt.
- No evaluation set before release.
- Swapping models without a version you can roll back.
- Never checking whether the feature changed retention or usage.
FAQ
Can AI be a feature in our SaaS product?
Yes. That is what the Sprint is for: one tenant-safe feature inside your app, behind a flag, with usage you can measure. Pricing it as a plan or add-on is a decision we make in the scope, before code.
How do you handle multi-tenancy for AI features?
The feature uses the same tenant scopes as the rest of your app. A prompt cannot see another tenant’s rows. We built our own multi-tenant voice product this way.
How do you measure whether the AI feature is actually working?
Before launch we agree accuracy on a sample, time per task, and how often people override the AI. Those numbers show in your admin panel from day one.
How long does a SaaS AI feature take?
The Sprint is two weeks for one feature, from signed scope and repo access. If you want several, we run another Sprint or move to an agent build. Late means 25% back.
Ship your first saas AI feature in 2 weeks.
Book a Sprint scoping call$4,997 fixed · late = 25% back · not as agreed = full refund.
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