Insights from the field
Practical insights on business analysis, ERP advice, scoping and AI from the trenches.
Having a 3D configurator built: the complete guide for manufacturers
Costs, the technical chain from WebGL to ERP, SaaS versus custom and the decision tree that tells whether your product is ready.
Why AI budgets are less predictable than traditional software budgets
Costs scale with usage, data and controls. Why a classic estimate falls short and how a scenario-based budget actually holds up.
How to build an AI roadmap without picking technology first
From business goals to prioritised initiatives in nine steps, vendor-neutral and with stop criteria for every experiment.
Which finance tasks can you automate without losing control
From invoice processing to cash flow forecasts: where AI supports finance and where human control and audit trails stay.
How to keep an AI project from becoming a new data silo
Source policy, integration and ownership let AI reinforce your information landscape instead of building a parallel system beside it.
Is your business data good enough for AI
Seven questions to assess your data, three risk categories of applications and why you never wait for perfection.
What happens when your AI vendor disappears tomorrow
Ownership, export formats, documentation and fallback procedures you enforce before signing to avoid lock-in.
The 5 biggest mistakes in an ERP integration and how to avoid them
Four of the five mistakes occur before the first line of code. How to make them visible upfront and avoid them before signing.
What does an ERP cost for a Belgian SME in 2026? Pricing per segment
Concrete prices, vendor shortlist and 5-year TCO for segments of 10, 25 and 50 employees.
The effective cost of an ERP implementation and why your vendor quote shows only one fifth of it
What an ERP really costs: eight categories, a 2-5× rule and the three biggest pitfalls after go-live.