Selected work / 2024-2026
Three connected systems spanning commercial models, platform architecture, and production AI. Client details are limited; the decisions, methods, and outcomes are not.
Commercial analytics / operations
A recursive bill-of-materials and planning system made processing complexity measurable, established five contract pricing tiers, and connected weekly labor to the actual work ahead.
5
agreed complexity tiers
+/-10%
typical weekly target range
4,000+
assets processed daily
300+
floor workforce at scale
Data platform / modernization
A full rebuild consolidated years of Azure sprawl into a governed Microsoft Fabric platform with lower cost, faster processing, and hourly operational visibility.
60%+
lower infrastructure cost
20 -> 3m
overnight batch runtime
Hourly
operational refresh
300+
users and leaders supported
Applied AI / analytics
A production agent layer gave operations, HR, and sales teams direct access to governed answers and supporting data through the web and Microsoft Teams.
2
user entry points
3
operating functions served
1st pass
ad hoc analysis automated
Live
production deployment
Working model
Start with the operating constraint, then build only enough system to change the decision.
Diagnose the constraint
Design the decision system
Build the foundation
Deliver into the workflow
Measure the outcome
Operate + improve
Start with the problem