Case Studies

Examples of how I approach real AI delivery—focused on business outcomes, reliability, and operational sustainability.

1) Jira → Executive Report Automation

• Problem: Stakeholders needed consistent reports derived from operational tickets and datasets.
• Solution: Template catalog + report generator + editor, with chart rendering and PDF export.
• Why it matters: Turns operational data into decision-ready outputs with minimal manual effort.

2) Cost Monitoring & Chargeback

• Problem: AI usage costs can spike quickly without visibility and controls.
• Solution: Usage telemetry → dashboards (cost per user/model) + governance patterns.
• Why it matters: Sustainable scaling across departments with fair allocation.

3) Agentic “Do the Task” Workflows

• Problem: Teams asked for help via tickets but still did most of the work manually.
• Solution: Agents that produce the requested artifact (FAQ/SOP/checklist/report), validated by QA rules.
• Why it matters: Faster cycle time and higher consistency for repetitive enterprise work.

Contact if you’d like a tailored pilot based on your data and tools.