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.

Synthetic public view Schedule intelligence workflow
Source data
Committee thresholds
Scenario model
Staff brief
NCSOS 293 -> 59NET 46 -> 9Q1/Q2 0-2 -> 5-1

Implementation evidence, not buzzwords.

These case studies show how I turn ambiguous operating problems into usable AI-assisted workflows with review gates, validation, and adoption loops.

Adopted Decision Workflow

BYU Basketball AI Workflow

A scheduling analytics and executive briefing workflow that turned NCAA data, committee thresholds, and staff constraints into weekly decision support.

AI implementationworkflow designvalidation
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Synthetic Tooling Snapshot

AI-Assisted Workflow Tools

A set of AI-assisted local workflow tools for organizing messy inputs, adding review gates, and turning scattered material into usable working memory.

AI-assisted buildingreview queuesoperator workflow
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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.