Good fit
There is visible drag
People repeat the same work every week, or the current stack keeps creating manual follow-up.
ERP, stock, and orders
Replace disconnected spreadsheets and SaaS modules with a focused operational layer that connects orders, stock, planning, suppliers, and reporting.
The goal is not to introduce more tools. The goal is to make one important workflow clearer, faster, and easier to own.
Good fit
People repeat the same work every week, or the current stack keeps creating manual follow-up.
First move
We pick a narrow process, define the handoff, and only expand after the team trusts the result.
Guardrail
AI can prepare, summarize, route, and suggest. Commercial, legal, and sensitive decisions stay reviewable.
Common bottlenecks
Orders, stock, purchasing, and planning use different numbers or update at different times.
Employees export and reconcile spreadsheets before they can make a decision.
Standard ERP modules require expensive licences or still need extensive workarounds.
Exceptions are noticed too late because no system shows the full operational context.
Approach
We define one reliable source for each key figure, connect existing systems, and design an interface around the decisions people make every day.
01
Follow an order or job from intake through stock, planning, delivery, invoicing, and reporting.
02
Decide which system owns customers, products, stock, prices, status, and financial records.
03
Use AI for anomaly detection, demand signals, planning support, and explanations while keeping actions reviewable.
Outcomes
Related proof
Delivery and ownership
A working interface is only part of the delivery. We also make clear who owns what, how access is managed, and how the product can continue after launch.
Clear agreements about source code, data, accounts, documentation, and the components your organisation controls.
Role-based access, data handling, logging, backups, and a review of the risks that matter for this workflow.
Testing with real scenarios, acceptance criteria, migration where needed, and a practical handover to users and administrators.
A support route, monitoring where relevant, and a prioritised backlog for maintenance and further development.
No. We prefer a focused operational layer and keep reliable existing systems where they still do their job well.
Yes when APIs or stable exports are available. We document ownership, timing, error handling, and fallback for every connection.
It can support forecasts and detect unusual patterns once there is enough reliable history. The output should include context and remain reviewable.