Years leading change
Across digital commerce, business systems, automation, and transformation.
A point of view on turning AI ambition into measurable customer value, safer workflows, and an organization that learns faster.
THE THESIS
AI TRANSFORMATION IS NOT A TOOL ROLLOUT.
The work starts with business priorities. It succeeds when teams trust the system, leaders can see the economics, and governance is part of the workflow—not a PDF sitting beside it.
For ButterflyMX, that means protecting the trust inherent in property access while finding practical ways to delight customers and lower the cost of serving a growing platform.
THE NUMBERS BEHIND THE POINT OF VIEW
These outcomes came from combining systems thinking, commercial ownership, process discipline, and team adoption—not from deploying technology in isolation.
Across digital commerce, business systems, automation, and transformation.
Helped triple sales while improving the operating model at RecStuff.com.
Helped move the business into profitability within six months.
Paired tighter controls and evidence discipline with a 100% chargeback success rate.
Accountable for ecommerce P&L and performance across pricing, margin, forecasting, marketing, marketplaces, warehouse coordination, customer experience, and executive reporting—while leading a team of 15+.
Consolidated two BigCommerce environments, strengthened the source of truth, and built SOPs, knowledge resources, Jira/Confluence workflows, training, and team operating rhythms that made change usable.
Led a remote consultancy serving 50+ brands across industrial, manufacturing, B2B, and DTC environments—aligning executives, operators, developers, marketers, and customers.
PUBLIC SIGNALS. DIRECT EXPERIENCE.
A public marketing footprint is a signal—not a product architecture. The useful overlap is direct fluency with the web, measurement, edge, and operating systems that help teams learn and execute.
Years of hands-on delivery across content, commerce, multi-brand environments, integrations, and the workflows behind them.
Instrumentation, reporting, search and advertising systems used to connect customer behavior to operating decisions.
Practical experience with performance, caching, security, certificates, and the operational consequences of web infrastructure.
Documentation, intake, ownership, SOPs, training, and change-management systems that turn tools into adopted capability.
Leadership principle: validate ButterflyMX's real environment with engineering, security, product, and operators before prescribing platforms or patterns.
START WITH THE WORK, NOT THE MODEL.
Hypotheses to validate with ButterflyMX teams and customers—not promises made without the data.
Ground answers in product and property context, shorten resolution time, and preserve a human path for access-sensitive moments.
Summarize signals, retrieve relevant procedures, and give operators a decision-ready brief—without allowing AI to grant access.
Turn product truth, customer proof, and property requirements into faster, more consistent commercial responses.
Help internal teams and customers navigate installation, configuration, and integration guidance with cited answers.
Combine operational patterns with service history to prioritize investigation and reduce avoidable disruption.
Give every function a safe way to discover, test, measure, share, and scale the workflows that earn adoption.
PROMPTING AS OPERATING DESIGN
Explore the anatomy of a security-conscious AI workflow. This is a simulated demonstration of the thinking—not a live production system.
CONTEXT / SYSTEM INSTRUCTION
You are supporting a cloud-based property access platform used by property teams and residents. The request may involve a security-sensitive workflow. Use only retrieved, current company sources.
Select “run” to reveal the structured evaluation.
Prompt quality is a management system: explicit context, bounded authority, testable outputs, and a feedback loop.
Designed a workflow combining knowledge retrieval, WooCommerce order lookup, ticket creation, abuse protection, and deliberate human handoff.
Built a Docker-based Playwright and axe scanner that turns repeatable web checks into structured, actionable results.
Designed commerce and manufacturing workflow concepts with explicit checkpoints, bounded authority, and measurable outcomes.
LISTEN DEEPLY. PROVE EARLY. BUILD TO LAST.
A working plan designed to be refined with leaders, teams, customers, and the realities already in motion.
Listen across the company, baseline key workflows, inventory tools and data, map risk, and align on decision rights.
Launch two or three bounded pilots with accountable owners, control groups, evaluation criteria, and adoption support.
Scale the proven workflow, retire weak experiments, publish the roadmap, and make portfolio economics visible.
BUILT TO MEET THE CULTURE
Measure the experience, not the novelty.
Give every outcome a name and a number.
Build with the teams who know the work.
Make risk, uncertainty, and tradeoffs visible.
Hold the ambition; shorten the learning loop.
Stay with the behavior change after launch.
A FINAL THOUGHT
I would welcome the chance to help ButterflyMX build both—turning AI into practical value for customers, teams, and the business.