I help operators turn messy workflows into AI-assisted systems they actually use.

I am an AI implementation and enablement operator with 10 years in enterprise SaaS, healthcare GTM, and hands-on AI-assisted workflow building. I own discovery, workflow design, validation, rollout, adoption, and measurable outcomes.

AI Outcomes / AI Adoption ManagerGTM Engineer, AI Workflow AutomationAI Implementation / Strategy Consultant
Public-safe sample Implementation package builder
Discovery notes
Use-case score
Governance memo
Rollout roadmap
Synthetic dataLocal demoReviewable plan
AI implementation packageAdopted decision workflowReviewable operations systemDiscovery from messy operator needs

Three proof points carry the profile.

If someone only has a minute, these are the fastest reads: an AI implementation package, an adopted decision workflow, and a reviewable operations system.

Synthetic intake workspace using fake Northstar discovery context.
AI Implementation / Client Delivery Prototype

AI Implementation OS

A demo-ready prototype that turns messy discovery notes into a reviewable AI implementation package.

AI implementationdiscovery intakegovernance
Read AI Implementation OS case study
Synthetic schedule builder using public-safe demo data.
Sports Analytics / Decision Support

AI-Assisted Basketball Scheduling Decision Workflow

A staff-facing basketball scheduling workflow that turns messy NCAA data and selection-committee constraints into repeatable decision support.

AI-assisted workflowanalyticsbriefings
Read Basketball Scheduling case study
Synthetic dashboard captured from demo mode; no private job-search records are shown.
AI Workflow / Career Pipeline Operations

Job Search HQ

A private career pipeline operations system for sourcing, scoring, QA, follow-up, and human-reviewed decisions.

workflow designreview queuesdocument QA
Read Job Search HQ case study

From unclear problem to adopted workflow.

01

Discover

Map operators, constraints, source data, edge cases, and success criteria.

02

Design

Turn the workflow into specs, evaluation criteria, output formats, and review gates.

03

Build With AI Assistance

Use AI coding tools to help implement the workflow while staying accountable for fit and quality.

04

Validate And Adopt

Test outputs, collect user feedback, refine the loop, and measure whether adoption sticks.