How MobilityWare Cleared Its Dev Backlog with Embedded AI Engineers | Ad Snipper
AI engineering

The backlog was the bottleneck. Four engineers cleared it, then built what was never on the roadmap.

A mixed pod of automation, full-stack, and ML engineers, embedded in the team for over six months.

MobilityWare, client of Ad Snipper's embedded AI engineering team

Key metrics

100+ hrs
Engineering time reclaimed monthly
4
Engineers embedded across three tiers
6+ months
Ongoing engagement

01 THE CHALLENGE

A roadmap the team did not have the hands to build.

The backlog kept growing faster than the team could clear it. Every new idea went to the bottom of a queue that was already too long, and the work that would have moved the product forward, the AI features and the data pipelines, never made it to the top. Hiring locally would have meant months of recruiting for skills that are hard to find and expensive to keep.

02 WHAT WE BUILT

Four engineers across automation, full-stack, and machine learning

n8n automation workflow built for MobilityWare
Custom software and dashboards
Internal tools built to the team's workflow
ML models and data pipelines
Fine-tuning and production data flows
API integrations
Existing tools wired into one system
Process automation
Manual work removed from the team's week
Python n8n Make OpenAI Claude Supabase Postgres React Next.js

03 THE RESULTS

The results

100+ hours
Reclaimed every month across the team
Shipped
Features the in-house team could not have built alone
Day 7

Engineers embedded and shipping against the backlog

Month 3

Automations live, manual work off the team's plate

Month 6+

Roadmap features shipped, engagement ongoing

Backlog longer than your headcount?

Dedicated AI engineers from $15/hr, embedded in 7 days.

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