Manufacturing
Companies with complex rules and exception handling across ordering, production, shipping, inventory and settlement.
Legacy ModernizationWe preserve the value in your existing business systems
We preserve the value in your existing business systems
and modernize it into something built to last longer.
Rather than rebuilding an existing system from scratch as a matter of course, we first separate what's worth keeping from what needs improving, and propose a realistic direction for where you are now and where you're going.
Who needs thiswhether to keep it, improve it, or start over
whether to keep it, improve it, or start over
This is for companies weighing up
Before concluding anything about replacement, we look carefully at the current structure and how work really flows.
Distribution
Companies running on spreadsheets and several separate in-house programs at once.
On site
Companies that need equipment, sensors, inspection machines or external APIs tied into their business systems.
Legacy is knowledge
Inside an old system are the core rules that have kept the business running.
A program used for many years carries that company's own rules, ways of handling things, edge cases and data flows.
The screens may look dated and awkward to use, but real operational know-how still lives inside them.
So modernization starts not just with finding problems, but with distinguishing the business value worth carrying forward from the structure that needs reorganizing.
Analysis points
First we work out what to keep and what to change.
Business flow
We confirm the sequence and decision rules behind ordering, production, inventory and settlement.
Data structure
We assess how far data in databases, spreadsheets, files and external systems can be reused.
User experience
We account for the ways people are used to working, so the change causes less disruption on the ground.
Operating environment
We take equipment, networks, permissions and maintenance practices into account as well.
We carry forward your existing know-how and data, reorganizing them into a structure built to run for years.
Practical modernizationThe question isn't how to rebuild it,
The question isn't how to rebuild it,
but in what order to improve it.
We analyze your current system and the way work actually gets done, then separate what can stay as-is from what needs structural change. Improving the necessary parts in stages keeps both cost and operational risk down.
Data & automation
A system meant to last has to start with its data structure in order.
We review your data storage structure, the way you search and aggregate, and the tasks you repeat. Once the data is in order, it becomes the foundation for statistics, reporting, external integrations and automation.
AI is an extension worth considering where it fits, once the data is in order and the business structure is clear.
Applicable cases
This applies if any of the following sounds familiar.
An old program has become hard to modify
The original developer no longer maintains it
Your data is scattered across spreadsheets, paper and email
Your ERP doesn't match how the work is really done
You need equipment, sensor or external API integration
You can't use your data for search, statistics or analysis
You need to add mobile or web capabilities
You're looking to apply automation or AI analysis later on
You need improvement in stages