Studio

AI-Native Mobile Rebuild

humaniseAI’s Studio team rebuilt a logistics company’s core mobile app on an AI-native delivery model, hitting a six-week go-live scope on plan.

humaniseAI’s Studio team rebuilt a logistics company’s core mobile app on an AI-native delivery model, hitting a six-week go-live scope on plan.

Summary

Industry

IT Services

Use Case

AI-Native Mobile Application Rebuild

Platform

Mobile Application (Flutter to React Native)

Technology Stack

React Native, Claude Code

Client

PackSmith

About the client

PackSmith is a Melbourne-based Series A/B logistics technology company that needed its core mobile application rebuilt from Flutter to React Native. PRDs, Figma designs, and UI flows were already finished before the engagement started, so execution speed mattered more than discovery work.

The challenge

Design work was done. What remained was pure execution speed.

  • The core mobile app needed a full rebuild from Flutter to React Native

  • Design and requirements work was already done, so speed mattered most

  • The team needed to onboard fast and work across Australian and US hours

  • The client specifically wanted genuine AI-native engineering, not just AI-adjacent claims

  • A six-week go-live left little room for a slow ramp-up

What we did

humaniseAI’s Studio team delivered on its own AI-native operating model.

  • Embedded a delivery pod of two senior engineers and one engineering manager

  • Adopted the client’s existing ways of working instead of introducing a new process

  • Delivered on an AI-native model built around Claude Code and a Plan, Implement, Test workflow

  • Moved directly from onboarding into implementation with no separate ramp-up phase

  • Coordinated delivery alignment through the embedded engineering manager

Results

  1. On-Plan Delivery: The six-week go-live scope was delivered within the expected timeline

  2. Scope Grew Fast: Extra features shipped in rapid cycles beyond the original brief

  3. AI-Native, Proven: Established real confidence in the team’s AI-native delivery model

  4. Minimal Friction: Adopting the client’s own practices meant no process disruption

  5. Long-Term Partnership: What started as one project became an ongoing relationship

Takeaway

humaniseAI’s Studio team proved an AI-native delivery model could hit a fixed deadline without disrupting the client’s own engineering practices.

humaniseAI

An AI-native professional services firm working at the intersection of business, technology, and humanity.

An AI-native professional services firm working at the intersection of business, technology, and humanity.

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