Featured Projects

The Mission

"Safe, assistive coverage answers that build trust instead of tickets."

Today, employee benefits are under-used because people do not know what is covered, how much is left, or where to look. That confusion turns into avoidable HR tickets, slower claim submission, and weak perceived value—bad for activation and renewals in a new market. In Canada, getting a coverage answer wrong is not just a user experience bug; it erodes trust and bumps into provincial compliance and PHI privacy risk.

This prototype explores a low-risk way for Canadian benefits platforms to increase employee engagement while keeping admins out of the help-desk role and staying inside strict compliance boundaries.

The Solution

A Ruby on Rails 7 assistant that adds an assistive-only benefits chat interface on top of structured coverage rules and balance data. It uses AI for intent classification, executes strongly-typed “function” calls to fetch the right rules and balances, and gracefully falls back to human support tickets when confidence is low or AI is disabled.

How It Works

When an employee asks a question like, “How much massage therapy is left?” the system:

• Determines intent using a mix of pattern matching and AI classification.
• Dispatches to executor functions that fetch coverage rules and balances from structured data.
• Generates natural-language responses that cite specific limits, rules, and disclaimers.
• Falls back to support ticket creation if AI is disabled, fails, or confidence is below threshold.

Safety & Compliance

The prototype is built with privacy, reversibility, and auditability as non-negotiable constraints:

• PII redaction (names, phones, emails) is applied before any external AI call.
• A feature flag (AI_CHAT_ENABLED) allows instant rollback to human-only flows.

Tech Stack

The Mission

"Suggestions-only conflict checks that make intake faster and more defensible."

Manual conflict checks often burn 30–60 minutes per new client and are inconsistent to document. That slows intake completion, weakens trust, and makes it harder for firms to prove that conflicts were checked properly.

This prototype explores a low-blast-radius way to move conflict-hint surfacing from minutes to seconds, make documented clearance the default via an attached log, and keep humans firmly in the loop.

The Solution

A safe, suggestions-only conflict-check assistant that runs on intake, surfaces ranked matches for reviewer decision, and writes an immutable audit log. It is feature-flagged, reversible, and avoids schema changes— designed to plug into Clio-style intake without destabilizing existing workflows.

How It Works

When a new intake is submitted, the service:

• Runs a fuzzy similarity scan across existing clients, prior/alias names, related parties, and matter titles.
• Returns a ranked list of Suggested Conflicts with reasons in a side panel.
• Lets the reviewer mark each suggestion as Cleared or Escalate after review.
• Writes a timestamped Conflict Check Log (reviewer, inputs, decision) for each intake.

The posture is strictly assistive: the system never hard-blocks intake, and all suggestions and logs respect existing matter and user permissions (ethical walls).

Safety & Trust

The design focuses on speeding review without creating new risk:

• Suggestions ≠ decisions: lawyers remain the final decision-makers.
• Permissions-aware: suggested conflicts and logs respect existing ethical walls.
• Feature-flagged via CONFLICT_COLLECTOR_ENABLED for instant rollback.
• Immutable logging: every conflict check is captured for later audit and defensibility.

Tech Stack

The Mission

"Clarity without chaos. Turn intention into action."

This app helps thoughtful, high-performing individuals turn their goals into focused daily action using AI assistance and minimal interface friction. The mission is to reduce decision fatigue and increase execution through intelligent daily planning grounded in SMART goals.

The Solution

A React Native (Expo) mobile app with AI-powered task management, featuring OpenAI GPT-4o integration for intelligent planning and Supabase backend for seamless data management.

The app includes custom memory layers to track user's SMART goals & task history, with token budgeting middleware to keep AI costs low while maintaining intelligent assistance.

Tech Stack