Enterprise rollouts stall when delivery teams meet the domain mid-project. We’ve delivered in the categories below and continue expanding.
Technical product portfolio management platforms only land when variants are visible alongside the whole value chain. Delivery covers extracting product, BOM and sales data from SAP ERP and BW, a graph model of variants and their dependencies, and enablement for the product teams running portfolio reviews. Decisions then rest on the whole portfolio, not a spreadsheet extract.
Spend management platforms span procurement, accounts payable and travel & expense, and enterprise rollouts usually touch all categories at once. Projects include purchase requests and approval chains, AI invoice capture tuned on real customer documents, travel and expense policies per entity, and ERP posting with per-country VAT.
Network optimisation and inventory management platforms are only as good as the data behind them. Implementation covers network models of plants, warehouses, transport lanes and costs built from ERP and transport-management data. Stock levels, lead times and reorder points sit in the same model, which is validated against actual flows before the first scenario runs.
Process intelligence and ERP-based analytics platforms stand or fall on the data model underneath. Delivery covers extraction from SAP ERP and BW, mapping tables and transactions into the platform’s data model, and validation against the source system and the business requirements.
AI/ML platforms face rollout problems conventional software doesn’t: data that isn’t ready, output that must fit existing workflows, users who have to trust the result, and performance that has to hold at scale. Quantum computing solutions often target combinatorial optimisation, such as production sequencing, scheduling and portfolio selection against a classical benchmark. Delivery covers data readiness, model formulation, workflow integration and adoption of the right technology.
Performance analytics platforms built on wearable sensors have to function in real time, during an intense session. Delivery covers the pipeline from sensor to dashboard and the front end analysts use mid-session: athlete load, injury-risk indicators, tactical and strategic data points to act on.
Diagnostic imaging AI proves its value in clinical routine, not in the pilot. Rollouts include bringing AI findings into the radiology workflow through PACS and RIS, EU-hosted data flows for patient data, and training radiologists to read and challenge the model’s output.
Platform categories delivered
enterprise rollouts
weeks average from kick-off to go-live
on-time delivery
Signed deals in the backlog, rollouts that slipped, adoption that never took off. In a 45-minute introduction, we’ll show you where we’d start.
Book an introductionA 45-minute bird’s-eye view of your challenges, strategy and open topics. We share our perspective and show where we can help. If there is a fit, the next step is a discovery workshop.
