Independent advisory across the full ERP lifecycle — from roadmap and selection to implementation and continuous optimization.
ERP transformations are business transformations. We help organizations make the right decisions, challenge the right assumptions, and keep complex ERP initiatives moving towards real business value.
With deep expertise in Microsoft Dynamics 365 and IFS, and experience across the broader ERP market, we provide independent advice from roadmap and selection to delivery governance and value realization.
A strong ERP transformation starts before the system decision. We help organizations create clarity on why change is needed, what the future business requires, and how to move forward in a structured and realistic way. Together with business and IT stakeholders, we assess the current landscape, identify key process and capability gaps, define the target direction, and build a roadmap that leadership can actually use for decisions. The result is not just a plan — it is a shared view of priorities, dependencies, investment needs, and expected business value.
ERP selection is not about finding the best demo. It is about understanding which platform, partner, and implementation approach will best support the business over time. We help organizations structure the selection process, define requirements that matter, compare alternatives, and challenge vendor claims when needed. Our role is to create confidence in the decision — not by making the process heavier, but by making sure the right questions are asked before commitments are made.
Once an ERP transformation moves into delivery, success depends on more than project plans and status reports. It requires strong governance, clear decision-making, active risk management, business ownership, and the ability to keep vendors, internal teams, and leadership aligned. We support ERP implementations through program governance, PMO, quality assurance, stakeholder alignment, and delivery management. We help create transparency in steering groups, challenge progress when needed, and ensure that the transformation stays connected to business outcomes — not just system go-live.
Align technology, governance and performance with business objectives — improving decisions, effectiveness and return on IT investments.
Turn data and AI initiatives into practical business capabilities and measurable outcomes through strategy, governance and adoption.