Projects
I focus on practical AI - embedded in real workflows, governed for production, and delivered with predictable execution. Below are a few representative projects across LegalTech and enterprise systems.
Featured
A LegalTech time-entry ecosystem that connects Microsoft 365 signals (calendar/email), applies AI suggestions, and delivers dynamic reporting with minimal friction for end users.
Captures work context from M365, supports structured time entry, and strengthens accuracy with AI prompts/suggestions.
Reduces manual effort, improves consistency, and increases trust through predictable workflows and governance.
Enterprise-first: scoped increments, auditable behavior, and adoption-driven design (not “AI theatre”).
More projects
A searchable internal knowledge layer that indexes project learnings by topic and returns relevant guidance fast.
A natural-language analytics interface that converts plain-English questions into SQL and renders results as charts.
A conversational assistant that lets users query supported datasets safely, with guardrails and governance.
Options and architecture decisions to introduce AI safely and cost-effectively into an existing platform.
Improving confidence in operations by reducing workflow failures and strengthening reporting consistency.
An exam practice portal that adapts difficulty, generates age-appropriate questions, and explains mistakes.
Let’s scope a focused initiative that can ship in weeks, not quarters.