Dynamics 365 consulting for
Supply Chain & Manufacturing
I lead Dynamics 365 F&SCM implementations, rollouts and process transformations for manufacturers and complex supply chains — and, where it counts, I bring in custom AI agents too.
Over 10 years of vertical specialization in Dynamics 365 F&SCM
Domain depth meets agentic AI engineering
I spend my days in the part of the supply chain where standard software runs out of road — and I build the AI agents that pick up from there.
Over a decade in Dynamics 365 Finance & Supply Chain has shown me how complex manufacturers really plan, source, and serve customers — the constrained planning, the aftermarket, the supplier risk that out-of-the-box Copilot agents can't reason about.
I pair that domain depth with hands-on agentic-AI engineering — Azure AI Foundry, Copilot Studio, and the Model Context Protocol (MCP) — to build custom agents that live inside D365 and handle the work the standard ones leave behind.
Solution Architect
Functional architect and supply-chain process owner across full-lifecycle ERP implementations.
International rollouts
Delivered D365 across Italy, Switzerland, Germany, France, the UK and the United States. I work in Italian and English — plus Spanish — on-site or remote, wherever the project needs me.
Educator & researcher
Guest lecturer on D365 SCM at SDA Bocconi and MIP Politecnico di Milano. Member of the European Business Transformation Hub.
Three fronts, one continuum
From full-lifecycle ERP delivery to the custom AI agents that handle the logic standard Copilot can't reason about.
D365 F&SCM Consulting
End-to-end Dynamics 365 Finance & Supply Chain implementations — from requirements to production.
- Functional & solution architecture
- Costing model transformations (WAC → Standard)
- Supply chain & manufacturing modules
- Agile & Waterfall delivery leadership
Custom AI Agents for D365
Agents that handle the deep supply-chain logic standard Copilot can't reason about.
- Finite-capacity / constrained planning (MTO/ETO)
- Aftermarket & spare-parts intelligence
- Multi-tier supplier risk
- Azure AI Foundry · Copilot Studio · Agent 365
Agentic AI Engineering
Production AI shipped end-to-end — frontend, backend, and infrastructure.
- RAG systems & vertical knowledge retrieval
- Model Context Protocol (MCP) integration
- ML / linear-optimization engines
- Voice AI agents & LLM-integrated platforms
Selected engagements
Real D365 transformations and AI agents, with measurable results.
Two newly acquired companies taken live inside a programme already in flight
A multi-company D365 programme with 30+ consultants: go-lives for two newly acquired companies — acquired while the programme was already in flight — with two MES integrations and PDM for engineering data.
From weighted-average to standard costing in 6 months
Full costing-model transformation for a motorization manufacturer — over 2 million item and BOM records re-costed — with variance analysis and an on-time-in-full go-live.
One template against 19 sites, each convinced it was the exception
D365 rollout for a fashion & luxury buy-and-build group with 19 acquired companies, each running a distinct production process — 5 go-lives in 7 months at programme level.
A decade shaping enterprise supply chains
Independent practice pairing 10+ years of D365 F&SCM expertise with agentic-AI engineering — building custom AI agents for D365 on Azure AI Foundry, Copilot Studio, MCP and Agent 365. Member of the European Business Transformation Hub.
Led ERP teams and implementations in Energy, Luxury Fashion, Linear Motion, Automotive, Pharma and Home Automation. Delivered a Weighted-Average → Standard Costing transformation for a global client ahead of schedule, improving cost accuracy by over 50%.
Translated complex client requirements into functional, technical and architectural specifications. Supported multi-country ERP rollout across Italy, France and the USA for 200+ users in the pharmaceutical sector.
Designed and configured Dynamics AX/365 modules for Supply Chain and Manufacturing across Pharma, Automotive and Textile. Delivered guest lectures on D365 SCM at SDA Bocconi and MIP Politecnico di Milano.
Frequently asked questions
Straight answers to the questions I hear most often from teams evaluating a Dynamics 365 project.
How do I know if my company needs a Dynamics 365 consultant?
Three reliable signals: your core processes — planning, production, costing — run outside the system, in Excel; every system change takes weeks of development; your internal team knows the operations well but not the D365 architecture. If at least two are true, an experienced consultant pays for themselves by cutting unnecessary customizations and rework.
How long does a Dynamics 365 Finance & Supply Chain implementation take?
For a single-site manufacturer, typically 9–18 months from kick-off to go-live. Multi-country rollouts become multi-year programs with sequential go-lives, typically one site every 4–8 months once the core model is consolidated. Three variables really move the timeline: master data quality, the number of customizations, and the actual availability of your key users.
How much does a Dynamics 365 Supply Chain project cost?
As an order of magnitude, implementation costs 1.5–3 times the annual license cost. For a mid-sized manufacturer a full F&SCM project starts at a few hundred thousand euros; enterprise multi-country rollouts exceed one million. The main driver is not licensing but consulting days — and the most effective lever to contain them is re-engineering processes toward the standard instead of customizing.
What do I need to know before implementing D365 Supply Chain?
Three things decide the project before kick-off: clean master data (items, BOMs, routes), defined target processes — with a real willingness to change them toward the system standard — and key users with genuinely dedicated time, not scraps of it. Technology is rarely the bottleneck: organizational fit almost always is.
What mistakes do companies make most often when implementing D365?
Four recurring ones: replicating the old ERP's processes in D365 through heavy customization (on a pharma project we cut customizations by 75% by re-engineering toward the standard); underestimating data migration and cleansing; treating the project as an IT topic instead of a business one; cutting corners on testing and key-user training. All four cost far more to fix than to prevent.
What questions should I ask before hiring a D365 consultant?
Four quick filters: how many go-lives have they delivered in my industry? Have they covered both the functional and the architectural role? How do they handle customization reduction? Can they show measurable results from past projects? A senior consultant answers with concrete examples and numbers, not slides.
What can custom AI agents for D365 do that standard Copilot can't?
Standard Copilot covers the generic use cases: summaries, natural-language queries, predefined insights. The 20% that is specific to your business — finite-capacity MTO/ETO planning, aftermarket and spare-parts demand, multi-tier supplier risk — requires custom agents built on Azure AI Foundry and Copilot Studio, integrated into D365 via MCP and governed with Agent 365. That is exactly the work I do: take a process that lives in Excel today and give it an agent that reasons inside the system.
Let's build something that reasons.
Whether you need deep D365 supply-chain capability, a custom AI agent, or both — tell me about it and I'll reply personally.