Selected Work & Experience

Current AI-native proof. Prior founder scale. Enterprise delivery.

The throughline is consistent across more than three decades: find where business value is trapped in methodology, documents, manual handoffs, legacy systems, data silos, or organizational complexity, then architect the operating model and build the system that makes the answer usable and repeatable.

This page intentionally separates current Total Freedom Life proof, prior founder/operator experience, and enterprise career experience. Michael D. Penn is the throughline; the legal and historical contexts remain distinct.

Direct answer

The evidence spans AI-native products, client-context document intelligence, prior business ownership, enterprise architecture, integration, program leadership, and production delivery. The point is not that every artifact belongs to Total Freedom Life. The point is that the same systems-level capability is visible across each chapter of the career.

What does this work prove?

It shows a repeatable pattern across decades: turn operating problems, documents, data silos, manual handoffs, expert methodology, and legacy constraints into working systems and measurable business outcomes.

What is the current proof bench?

Current proof includes CriticalThink HR, CriticalThink Advantage, SpectraCastr, and SCMS / SCMS 2.0 as client-context systems proof. HRTrainingClasses is prior founder/operator experience, not a current Total Freedom Life product.

What enterprise experience appears here?

Enterprise examples include Charter Communications, Wells Fargo Advisors, and Centene, spanning customer self-service, enterprise integration, financial-services dashboards, healthcare data, and program leadership.

How should an employer or client read these examples?

Read them as evidence of the same underlying capability across different contexts: business diagnosis, operating-model design, architecture, integration, execution, and production ownership. Current products, prior businesses, and enterprise roles are labeled separately so the history stays accurate.

Current proof bench

CriticalThink HR, CriticalThink Advantage, SpectraCastr, and SCMS / SCMS 2.0 make current AI-native systems, decision logic, media workflows, and contract intelligence visible.

Prior founder/operator proof

HRTrainingClasses.com predates Total Freedom Life and demonstrates operating leverage: $125K+/month scale through LMS delivery, marketing automation, accounting integration, remote/hybrid operations, and lean-team execution.

Enterprise proof

Charter Communications, Wells Fargo Advisors, and Centene show enterprise integration, customer self-service, financial-services workflows, healthcare data, and program leadership at scale.

Long-running client context

A continuous sports-contract workflow relationship from Spencer Fane / Stinson Morrison Hecker to WME / Endeavor provides client-context proof spanning legacy modernization and AI-enabled document intelligence.

Current systems you can inspect

Proof you can inspect, not just claims you can read.

These screenshots show current AI-native and client-context systems without exposing private client data: workflow, methodology, data, automation, and production user experience.

SCMS 2.0 document intelligence dashboard screenshot

SCMS 2.0

Document-heavy contract operations turned into structured data workflows and reporting support.

CriticalThink HR platform screenshot

CriticalThink HR

AI-enabled HR certification readiness with scenario logic, feedback, and production learning flows.

CriticalThink Advantage methodology screenshot

CriticalThink Advantage

A decision-governance methodology packaged into product logic and repeatable operating models.

SpectraCastr content production workflow screenshot

SpectraCastr

Staged-access media intelligence for training walkthroughs, videos, marketing assets, and LinkedIn carousel/slideshow content.

Client-context systems proof

SCMS / SCMS 2.0

Built the original 2010 SCMS and modernized it into AI-powered SCMS 2.0, supporting data workflows connected to USA TODAY college coaches salary reporting.

Business context

Contract-heavy businesses do not need another folder of PDFs. They need a reliable operational data layer that preserves the nuance of contracts, addendums, amendments, schools, seasons, compensation terms, and negotiation history.

Architecture move

SCMS is the original sports contract management system. SCMS 2.0 is the AI-powered modernization that processes documents in batch, extracts contract intelligence, and turns the result into structured data that can be inspected, searched, queried, and reported on across the contract landscape.

Why it matters

The public-safe claim is precise: the system supports data workflows connected to USA TODAY college coaches salary reporting. It does not imply ownership of USA TODAY's public reporting product.

Document intelligenceContract analysisStructured dataEnterprise modernization

Prior founder/operator experience

HRTrainingClasses.com

$125K+/month scale, operated by two founders and one customer-support team member through LMS, marketing automation, accounting integration, and remote/hybrid operations.

Business context

As co-founder and co-owner, I helped build more than a website. The business needed a complete operating model for customer acquisition, registration, fulfillment, support, reporting, accounting, and delivery.

Architecture move

Built the process and platform patterns that let a lean team support a national HR-training business without scaling headcount at the same rate as revenue.

Why it matters

HRTrainingClasses predates Total Freedom Life. It belongs here because it is direct founder/operator evidence of business systems thinking, operating leverage, automation, and domain depth—not because it is a current Total Freedom Life product.

Founder/operatorHR-techAutomationRevenue operations

Current AI-native proof bench

CriticalThink HR

Built and launched a production AI-native HR-certification platform that turns expert judgment and situational reasoning into a structured learning and readiness system.

Business context

HR certification candidates struggle most with scenario judgment, where the right answer is not always obvious and where simple memorization is not enough.

Architecture move

Architected a platform and content pipeline that applies expert-guided AI workflows to scenario analysis, explanation, practice, and readiness feedback.

Why it matters

Batch-processing optimization reduced content-pipeline cost by 50%, proving that AI-native build direction has to include economics, not just model selection.

AI-native platformSHRM-SCP domain depthBatch processingROI vs TCO

Current AI-native proof bench

SpectraCastr.com

Built a staged-access media-intelligence platform after internal CriticalThink HR needs exposed repeatable patterns for training walkthroughs, videos, marketing assets, and LinkedIn carousel/slideshow content.

Business context

CriticalThink HR needed a better way to create training walkthroughs, videos, marketing assets, and LinkedIn carousel/slideshow content. The internal workflow became valuable enough to harden into its own product.

Architecture move

Extended the same AI-enabled build patterns into content analysis, repeatable production workflows, narrated video, LinkedIn carousel packs, YouTube slide packs, captions, subtitles, sync data, and Canva-ready deliverables.

Why it matters

SpectraCastr is not generally available yet. Public access opens in stages through a launch list, and the important point is the operating pattern it proves for current AI-native build work.

Media intelligenceAI-native workflowsTraining mediaMarketing media

Enterprise telecom experience

Charter Communications

Order Automation and channel consolidation work helped charter.com sales more than double in 2005.

Business context

Customer self-service and order flows had to connect across systems, teams, and operational handoffs rather than live as isolated web screens.

Architecture move

Led architecture and program direction across self-service and enterprise integration work, including leadership of a 20+ person team.

Why it matters

The work reflects the same pattern that runs through current AI systems work: design across the whole landscape, especially at integration points.

Enterprise integrationOrder automationCustomer self-serviceProgram leadership

Enterprise financial-services experience

Wells Fargo Advisors

Built the Key Client Solutions 4Front Portal, Financial Advisors Reporting Dashboard, and an iPad executive prototype consolidating multiple legacy systems.

Business context

Financial-services teams needed usable executive and advisor-facing views across complex, regulated, and legacy-heavy system landscapes.

Architecture move

Designed and built portals and dashboard experiences that turned scattered operational data into a clearer interface for advisors and executives.

Why it matters

The work adds direct financial-services, legacy integration, executive workflow, and compliance-adjacent experience to the broader solution architecture pattern.

Financial servicesDashboardsLegacy integrationExecutive workflows

Enterprise healthcare experience

Centene Corporation

Designed and built the Unified Member View Application for enterprise healthcare data integration.

Business context

Healthcare data work requires reliability, integration discipline, and awareness of the operational and compliance constraints around member information.

Architecture move

Created an integrated member-view application that made distributed healthcare data more usable inside enterprise workflows.

Why it matters

The experience supports current AI-native work where structured access to complex, sensitive data is central to the business outcome.

HealthcareData integrationEnterprise workflowsHIPAA-aware delivery

What this means now

Looking for senior architecture judgment plus the ability to make the system real?

I am open to senior remote roles, contract leadership, and selective consulting/fractional work where AI systems, business systems, solution architecture, integration, and cross-functional execution need to stay connected.