Manufacturing
Companies with complex rules and exception handling across ordering, production, shipping, inventory and settlement.
Cases where the ERP does not match shop-floor operations, or an aging program has become hard to modify.
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
The bottleneck differs by industry. These three have been the most common so far.
Distribution
Companies running on spreadsheets and several separate in-house programs at once.
Cases where data is scattered across spreadsheets, paper forms, and email, making search and reporting impractical.
On site
Companies that need equipment, sensors, inspection machines or external APIs tied into their business systems.
Cases where mobile or web functions must be added, or the original developer has stopped providing maintenance.
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.
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.
Practical modernization
We do not replace everything at once
We work in an order that keeps operations running. Starting with the lowest-risk, fastest-visible items means you can pause after any stage without disruption.
- 01Consolidating data
We gather the scattered data first, aligning the existing database, spreadsheets, and paper ledgers to one standard and identifying duplicates and gaps. No screens change, so daily work is unaffected.
- 02Replacing the bottleneck first
We rebuild the single function that takes the most manual effort and produces the most errors. It runs alongside the existing system, so users can choose whichever suits them.
- 03Integration and automation
Steps that were retyped by hand become direct integrations. Equipment, external systems, and ERP links, plus automation of repetitive tasks, come in at this stage.
- 04Migrating what remains
The remaining functions move over and the old system is retired. By this point most work already runs on the new system, so the cutover carries little risk.
Depending on the situation, steps 01 and 02 may be swapped or only part of the sequence carried out. The order is decided together during analysis.
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.