Five focused practice areas built around real business complexity.
We don't do everything. We do the work consumer goods, distribution, and life-sciences teams actually need when their systems, data, and processes stop scaling cleanly.
- Service 0101 / 05
SAP PLM & Business Process Support
Define, align, and tighten business processes inside SAP so day-to-day execution matches how the business really works.
What you'll walk away with- Streamlined SAP PLM workflows aligned to operations
- Reduced complexity in item master and BOM structures
- Clearer ownership and governance of SAP processes
- Service 0202 / 05
Master Data Strategy & Harmonization
Clean and structure your item, customer, and vendor data so downstream systems and reports have a foundation they can trust.
What you'll walk away with- Unified data standards across items, customers, and vendors
- Clear data governance and ownership models
- Fewer duplicates and data-quality issues
- Service 0303 / 05
M&A Integration & Data Readiness
Support acquisitions with structured data mapping, overlap analysis, and integration planning that keeps close-day drama to a minimum.
What you'll walk away with- Pre-acquisition data readiness assessments
- Post-close system and data integration roadmaps
- Shorter integration timelines with less operational risk
- Service 0404 / 05
Operational Advisory & Execution
Bridge the gap between IT, operations, and business teams so strategy actually becomes execution.
What you'll walk away with- Cross-functional alignment across IT and supply chain
- Clear process ownership and accountability
- Practical roadmaps that connect strategy to action
- Service 0505 / 05
AI-Enabled Solutions & Automation
Apply AI where it removes real manual work: cleansing data, mapping records, and analysing acquisition overlaps at speed.
What you'll walk away with- Faster data cleansing, classification, and enrichment
- Automated manual validation and mapping workflows
- M&A data analysis and overlap detection using AI
Not sure which one fits? Let's talk it through.
A short call is usually enough to tell whether this is a data problem, a process problem, or an SAP configuration problem, and where to start.