Three system stories.
Each case study follows the same pattern: define the operational problem, structure the data, clarify the workflow, preserve evidence, and make the result usable by people.
These case studies are drawn from applied systems work at Air Liquide in regulated industrial operations, with proprietary data, customer/vendor details, screenshots, exact financial values, and protected operational identifiers removed.
1. Financial Control System
Industry anchor: Industrial pricing review, ERP logic, financial control, and audit support in a regulated industrial environment.
Problem: Financial and operational records did not naturally reconcile into one clean decision surface.
Method: Combined data cleaning, comparison logic, trend-based reasoning, exception detection, and structured review.
Result: The process became more explainable, auditable, and actionable for stakeholders.
Recognition: Green Belt project completed in support of continuous improvement work.
Skills shown: analytics, reconciliation, model reasoning, stakeholder communication, audit preparation.
2. Chemical Compliance System
Industry anchor: Compliance review, correction tracking, governance, and business sign-off in regulated industrial operations.
Problem: Compliance work required accuracy, role clarity, review state management, and defensible records.
Method: Built a controlled workflow around data entry, review status, sign-off logic, and reporting structure.
Result: The work became easier to review, explain, and govern.
Recognition: Monthly Efficiency Award for process optimization work.
Skills shown: governance, compliance thinking, database structure, risk control, documentation.
3. Inventory Control System
Industry anchor: Warehouse operations, inventory visibility, expiration risk, FEFO prioritization, and daily decision support.
Problem: Expiration-sensitive inventory required prioritization before waste, risk, or operational disruption occurred.
Method: Applied FEFO logic, exception review, aging/expiration signals, and snapshot-based evidence.
Result: The workflow supported earlier intervention and clearer operational choices.
Recognition: North America Stage One winner, 2026 Air Liquide Fit & C-IMP Awards, AI Category.
Skills shown: operational analytics, inventory logic, prioritization, dashboard thinking, adoption design.
Common pattern across all three
These projects are different on the surface, but they share the same deeper method: transform ambiguous operational activity into structured state. Once the state is visible, the system can support control, review, communication, and improvement.
- Structure: define fields, states, relationships, and handoffs.
- Evidence: preserve enough context for review and explanation.
- Control: identify where decisions happen and what must be validated.
- Adoption: make the workflow understandable to the people who must use it.