AI-Ready SaaS MVP for Field Teams

Working MVP with roles, dashboards, mobile-first flows, and AI-assisted task recommendations.

The challenge

What the client was facing

A founder with deep field-services domain experience needed an MVP to validate with operations managers and raise a seed round — with the AI angle being non-negotiable for the investor narrative.

What we built

The solution

Mobile-first field flows with offline queue and sync
Web admin dashboard with roles, scheduling, and reporting
AI-assisted task recommendations grounded on historical job data
Architecture ready to scale to multi-tenant SaaS post-funding

In production

What it looks like

Illustrative screens — actual client UI, branding, and data redacted under NDA.

AI-first delivery angle

Why AI-first mattered here

The AI features are genuine, not theatre — recommendations are evaluated against real outcomes. Senior product engineers shaped the data model so the AI value increases as the product collects more data.

Technologies

Stack

React Native Next.js Supabase OpenAI PostgreSQL AWS

Have a similar problem to solve?

Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery is the right fit — and what a realistic engagement would look like.

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