Case Studies

Real deployments, real outcomes — how Amorisoft has helped teams ship AI systems, platforms, and talent at scale.

Placed 10 engineers in 16 days ahead of peak season.

A Dallas-based e-commerce company processing 18,000 orders daily needed to replatform its core order management and inventory system before the holiday peak season. With 14 weeks to go and an internal team already at capacity, Amorisoft placed 10 engineers across backend, frontend, and QA within 16 days of brief.

10Engineers placed in 16 days

Read

Healthcare Technology

Placed 6 engineers in 15 days, enabling on-time delivery of a patient data platform.

A Toronto-based healthtech company building a patient data interoperability platform for Ontario Health had a hard provincial deadline and a 6-person engineering gap after a funding delay had forced a 3-month hiring freeze. Amorisoft placed a specialist team covering backend, integration, and security engineering within 15 days of brief.

15Days from brief to team on ground

Read

Fintech

Placed 8 specialist engineers in 12 days

A Bangalore-based fintech building a real-time payments platform for SME lending had lost 3 senior engineers in 6 weeks to larger competitors. Amorisoft placed 8 replacement and additive engineers across backend, security, and data pipeline disciplines within 12 days of brief, allowing the platform to hit its RBI compliance deadline.

12Days from brief to team on ground

Read

Technology

Delivered a 12-person augmented engineering team

A US-based B2B SaaS company with a 40-person internal engineering team was 4 months behind on a product roadmap that had already been communicated to enterprise customers. Hiring locally was taking 3 to 4 months per senior engineer. Amorisoft placed a 12-person augmented team covering backend, frontend, QA, and DevOps within 3 weeks of brief, fully embedded in the client's existing sprint cycles.

3Product releases in 7 months

Read

Financial Services

Built an AI governance framework for a Singapore asset manager

A Singapore-based asset management firm needed an AI strategy that could satisfy MAS regulatory expectations while delivering commercial returns. Amorisoft ran a 12-week advisory engagement covering governance, use case prioritisation, and vendor selection framework.

2Live AI deployments in 8 months

Read

Manufacturing

Defined an AI investment plan that resulted in 3 funded initiatives within 10 weeks of engagement close

A UAE-based industrial manufacturer with operations across 3 Gulf countries had no internal AI function. Amorisoft ran a 10-week advisory engagement, assessed the business from the ground up, and delivered a prioritised plan the leadership team could act on immediately.

3Funded AI initiatives

Read

Retail

Delivered a 3-year AI roadmap resulting in 4 approved AI initiatives in the first year

A UK-based retail group with 180 stores and an e-commerce operation had received 11 unsolicited AI vendor proposals in 8 months. Amorisoft was brought in to build an AI strategy from the ground up, independent of any vendor relationship.

£2.1MProjected first-year saving

Read

Logistics

Reduced late deliveries by 39% using a predictive delay model built on 4 years of shipment and operational data

A US logistics operator running a ground distribution network was struggling with late delivery rates that had been climbing for 18 months. Amorisoft built a predictive ML model that flagged at-risk shipments 36 hours before scheduled delivery, giving dispatchers a window to act before a delay became a failure.

39%Late delivery reduction

Read

Healthcare

Reduced 30-day hospital readmission rate by 28% using a predictive discharge risk model

A public hospital network in Australia was facing persistently high 30-day readmission rates across its general medicine, cardiology, and orthopaedic wards. Amorisoft built a predictive ML model that scored each patient's readmission risk at the point of discharge, giving care coordinators a prioritised list for post-discharge follow-up every morning.

28%Readmission rate reduction

Read

Start Here

Want results like these?

Tell us what you are trying to solve. We will identify the right service, the right team, and the right approach for your situation.

Talk to our team