Finance should own its own intelligence.
CPA turned SAP consultant turned AI builder. Over 15 years across finance and enterprise systems, including external audit and compliance work. Now applied to agents and tools that solve real problems.
Started as a CPA, financial analyst and external auditor, before moving into SAP. IT, data, and automation were part of the work from early on.
Over 15 years across finance and transformation since. Multiple full-cycle S/4HANA implementations across aviation, mining, pharma, and public sector, plus multiple AMS and sustainment engagements keeping those systems running after go-live.
Same instinct now, aimed at a different layer.
The technology changes. The approach doesn’t.
Nine assets. Six are agentic AI systems built for enterprise finance. Three are working tools built with AI to solve problems that showed up on real engagements. Pick any one for the full story.
Agentic AI systems
Six systems, built end to endBuilt with AI
Three · specification to tested, working toolKnowing what the business needs, and having AI as a tool to build with, means one person can now own a lot more of the outcome, end to end.On what these nine builds have in common
What sits underneath the AI work: a finance background, deep SAP experience, and now the ability to build on top of both.
Finance
- Chartered Professional Accountant
- Financial analysis
- External audit
- Financial close and reporting
- Bilingual, English and French
SAP and data
- Multiple full-cycle S/4HANA implementations
- Multiple AMS and sustainment engagements
- SAP FICO and Record-to-Report, including ATR and PTR streams
- Project System
- FICA / FSCD
- Migration Cockpit, LTMOM, and LSMW
- Custom migration templates
AI architecture
- Responsible AI and governance
- Cost-conscious by design, managing tokenomics, the cost of every AI call, to keep systems affordable at scale
- Multi-agent systems, several AI agents working together
- Designing how agents hand off work to each other
- Connecting agents to outside data and tools
- Giving agents access to reference material to improve accuracy (RAG)
- Curating reference material and designing the grounding strategy
- Confidence scoring, so uncertain results get flagged instead of trusted blindly
- Connecting AI tools to ERP systems and other software
Let's talk.
Open to conversations about finance transformation, SAP delivery, or building AI tools that solve real problems.
Connect on LinkedIn- Business Architecture ManagerEnterprise SAP delivery
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