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Work we have delivered, including what went wrong and what we learned. Client names are shared only with their permission.

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SME Logistics Malaysia AI-augmented

A warehouse system in 6 weeks, not 6.5 months

A small firm in Malaysia digitalising inventory processes for its end clients, FMCG manufacturers.

Challenge
Inventory ran on manual processes. The client needed a warehouse management system quickly, on a small-business budget.
Approach
Feasibility consulting, industry-standard practice adapted to their context, and AI-assisted development across design, coding and testing.
Outcome
Delivered in 6 weeks. Honestly reported: unplanned change requests added regression defects and took a week to re-stabilise. The lesson: AI is extraordinary on smaller, greenfield work - with standard process, governance and transparency.
72.5%
lower development cost
6 weeks
vs 6.5 months estimated

Product company EduTech AI-augmented

A startup reinventing learning through books and a community of readers.

From a degrading prototype to a production MVP

The team built a prototype by vibe-coding, but it degraded with each change and couldn't scale. 12 months of opportunity were lost, and the team was unsure which AI models and approach to use.

Challenge

We introduced an AI-assisted development process the client's team adopted, integrated and customised an AI engine for the app, and placed a forward-deployed engineer to turn business problems into AI architecture.

Approach

A production-grade MVP, delivered at the 6-month mark.

Outcome

6 months
to a production MVP

Our own system AI-augmented

We ran it on ourselves first: our internal ERP

Luvina's own ERP, built from scratch to match how our company actually runs.
Recruitment, resources, projects, learning, CRM, attendance and dashboards - across an 800+ person organisation.

Challenge

A 31-person team used AI assistance across design, coding and testing, measured stage by stage against a manual baseline.

Approach

Coding and unit testing effort fell 66%; design and testing about 30% each.

Outcome

187 → 90
man-months
~6 months
faster to deploy
51%
less development effort

Singapore SME Dynamics 365

Microsoft Dynamics 365 Business Central ERP implementation for a S$300m Singapore recycling and wholesale trading company

Client not named. [Confirm S$ vs US$ for the 300m]
[What they ran before and why it had to change]

Challenge

[Scope: modules, integrations, migration]

Approach

[Go-live and post-go-live support outcomes]

Outcome

Manufacturing Aras PLM

Aras PLM for a consumer appliance manufacturer

Karofi, a consumer appliance manufacturer. [Client description]
[Product data problem]

Challenge

[Scope and approach]

Approach

[Outcomes]

Outcome

Corporate Japan 10+ years

A decade of continuous delivery for a Japanese enterprise

[Cresco or TIS (Ethan) - pick one; name or anonymise]
[What they needed]

Challenge

[Team and model over the years]

Approach

[What 10+ years of continuity delivered]

Outcome

Tell us what you need delivered.

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