Expertise

MDG depth, AI-aware delivery

Domains I work in, and where AI shows up in real SAP programmes.

SAP MDG areas

Built for S/4HANA and cloud-ready mode — designed to hold up after go-live.

Diagram illustration: Business Partner / Supplier / Customer

Business Partner / Supplier / Customer

Governance models, UI and configuration, validation, and integration with S/4 and surrounding systems.

Diagram illustration: Material

Material

Material master strategies, plant views, classification, and quality rules that scale.

Diagram illustration: Finance

Finance

Chart of accounts, cost centres, profit centres, and related finance master objects.

Diagram illustration: Workflow & process

Workflow & process

Approval design, BRFplus, change requests, and operable process ownership.

Diagram illustration: Replication & data quality

Replication & data quality

DRF, key mapping, monitoring, DQM rules, and quality metrics teams can act on.

Diagram illustration: Cloud-ready mode

Cloud-ready mode

Modern MDG deployment patterns and readiness for cloud-oriented landscapes.

AI use cases in SAP delivery

Practical acceleration — with honest limits.

Diagram illustration: Faster discovery & design

Faster discovery & design

Structuring workshops, drafting process maps, and stress-testing assumptions with AI as a thinking partner.

Diagram illustration: Documentation that stays useful

Documentation that stays useful

Turning config notes into clear runbooks and training material your team will actually open.

Diagram illustration: Test & knowledge acceleration

Test & knowledge acceleration

Generating test ideas, edge cases, and explanations — with expert validation before they hit a landscape.

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