Every engagement starts with a specific problem inside a real ERP system. Here's what happened when AI went to work.
As Director of SAP Architecture at a multi-billion-dollar CPG enterprise, Jeffrey owned the entire SAP landscape while simultaneously serving as Wave 1 Lead Architect on the company's strategic S/4HANA transformation — and separately managing the EMEA rollout from London.
The enterprise operated a complex 15,000-user on-premise SAP ECC landscape spanning parent operations and multiple subsidiaries — including a major acquisition (an acquired business unit). The enterprise needed a strategic S/4HANA transformation while keeping the existing landscape running at full capacity.
Jeffrey owned SAP architecture across the entire enterprise while concurrently leading the professional-products division S/4HANA Wave 1 as Lead Architect — setting the integration model and architecture that continued through subsequent waves.
The Wave 1 S/4HANA implementation became the enterprise's strategic template — the architecture and integration model set by Jeffrey continued through all subsequent waves.
Manual weekly reporting was consuming 8 hours per week across 3 program managers. A Microsoft Copilot workflow changed everything.
Challenge: Three program managers were spending 8 hours each week manually pulling data from ServiceNow and Excel to build status reports. The process was error-prone, inconsistent, and consumed time that should have gone to actual program management.
A complex greenfield S/4HANA program across 3 regulated production sites with IoT/IIoT integration and USDA compliance requirements.
Challenge: Greenfield S/4HANA across 3 regulated protein-processing sites with IS-Meat and Fish, Digital Manufacturing Cloud, IoT/IIoT with MQTT, batch/serial traceability, and USDA regulatory requirements — all with a large managed contingency.
Two previous hypercare attempts had failed. A structured recovery approach with 35+ consultants stabilized the program and delivered a clean AMS handover.
Challenge: After two failed hypercare attempts, the program was unstable with no clear path to AMS handover. 15+ onshore and 20+ offshore consultants needed direction, KPIs, and a defined support plan.
DataStor Digital Manufacturing deployed across 25+ chemical manufacturing sites — keeping production running 24/7 even during SAP outages.
Challenge: Deploy digital manufacturing across 25+ sites while ensuring production never stopped — even during SAP outages. The solution needed to stage transactions locally and sync after connectivity returned.
Designed and built from scratch: a governed multi-agent AI platform with SAP-inspired authority controls, operating at 99%+ uptime on self-managed infrastructure.
Built: Multi-agent platform with GREEN/YELLOW/RED authority controls, model routing across Anthropic/OpenAI/Featherless, evaluation gates, memory design, and OpenTelemetry observability. Applied to AMS triage, PMO reporting, SOW/RAID drafting, and defect triage.
Global Plan-to-Manufacture template rollout for industrial valve manufacturing across three regions with complex variant configuration and serialization.
Challenge: Global P2M template rollout across NA, EMEA, and APAC for industrial valve manufacturing with heavy Variant Configuration, global ATP redesign, and global serialization strategy under ASAP methodology.
We cut our invoice processing time by 65% in the first month. The team didn't have to change how they worked — the AI just handled the repetitive parts. What surprised us most was that it worked with our legacy system without any major changes.
Our demand forecasting went from a weekly spreadsheet exercise to a real-time dashboard. We haven't had a stockout in six months. The ROI was visible within the first quarter — and the payback period was much shorter than we expected.
Jeffrey's background in actual SAP delivery made all the difference. He wasn't selling us a platform — he understood our specific ECC environment and built something that worked inside it. The PMO reporting automation alone saved us 22 hours a week.
Every case study started with a free 60-minute audit. That's where we identified the specific opportunities — and built the business case. Yours starts the same way.