AI Automation & Business Systems Analyst

Translating complexity into clarity.

Business Process Improvement • AI Governance • Workflow Design • Operational Excellence

I design practical systems that turn scattered operational information into clear actions, accountable handoffs, and better decisions. My work combines process analysis, responsible AI, quality controls, and human review.

Selected Work

Production Control & Communication System

A connected hub-and-spoke operating system that turns scattered project information into clear actions, accountable follow-up, focused decision support, and a usable paper trail for continuous improvement.

View the complete case study

Production Control and Communication System diagram showing operational inputs entering the CJC administrative foundation, flowing upward through project managers and compliance to leadership visibility, with support and coordination moving back down.
Operational information enters through the administrative foundation, supports project action and compliance work, and creates decision-ready visibility for leadership.

The system was designed to reduce repeated manual checking, strengthen communication, improve follow-up, and make operational information easier to act on across the organization. Rather than forcing every function into one oversized workbook, the architecture separates distinct responsibilities into connected modules while preserving a common source of truth.

One system • clear modules • shared rules • human-reviewed decisions

Central Job Control (CJC)

Role in the whole: the hub and administrative source of truth. CJC brings together intake data, job matching, status logic, source history, approved users, contact information, and manual overrides before information moves into downstream workflows.

Why it exists separately: the core data and business rules need one stable home. Keeping that foundation separate prevents reporting, alerts, and communication tools from becoming competing versions of the same job record.

Daily Action & Notes Builder (DANB)

Role in the whole: turns project information into the day's actionable work—standardized notes, follow-up requests, documentation, and next-step decisions.

Why it exists separately: action logic changes more often than source data. DANB can improve the daily workflow without destabilizing the underlying job record or removing human review points.

Target Watch (TW)

Role in the whole: monitors target dates, schedule movement, overdue activity, holds, stalled work, and missing target-date reasoning—including structured note patterns used to support downstream checks.

Why it exists separately: schedule surveillance is a specialized control function. Reverse-engineering the existing process made it possible to preserve business rules while adding clearer exception and QA visibility.

Field Communication System (FCS)

Role in the whole: provides the communication bridge between office, field, and client-facing work so requests, responses, and operational context are less likely to disappear into scattered texts or calls.

Why it exists separately: communication has a different lifecycle from production data. Separating it keeps the operational record clean while still connecting communication back to the job. Its recorded updates and review trail also create an existing leadership-visibility vein.

PM Action & Alert System

Role in the whole: converts compliance and project needs into smaller prioritized requests for project managers, focusing first on WIP, then Pre-Production, then Pending Sales, while bundling related compliance updates into the same touchpoint.

Why it exists separately: the control must protect both compliance needs and human workload. Smaller batches reduce overload, create an auditable paper trail, and provide evidence for later PDCA-based improvement.

Leadership & Improvement View — Concept

Status in the whole: a planned standalone dashboard concept for turning operational activity into management context. It is not a completed current module; leadership visibility today is supported through FCS communication traceability and source records.

Why retain the concept: leadership ultimately needs decision-ready visibility rather than every transaction. Any future summary must preserve links to the source history used by the operational team.

Human-reviewed by design: AI may assist with organizing information and drafting communication, but source validation, exceptions, approval, and final decisions remain with people.

How I Work

Practical systems people can actually use

Technology creates value only when the workflow is understandable, maintainable, and trusted by the people using it.

Learn & Map

Understand the real process, its users, its constraints, and the governing source of truth.

Design & Build

Create a focused workflow with clear ownership, decision points, exceptions, and handoffs.

Validate & Package

Test outputs, document controls, prepare users, and keep human approval where it belongs.

Operational Learning

Use results, evidence, and user feedback to strengthen the next iteration.

“The process of improvement does not change simply because the industry changes.”

About

Operations experience. Systems thinking. Responsible AI.

I bring more than 20 years of experience across operations, compliance, quality systems, cross-functional leadership, documentation, and process improvement. I apply that foundation to AI-assisted workflows that reduce manual work while protecting accuracy, dignity, and human authority.

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