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Three flagship stories.
More depth when you need it.

I lead work from shared platform decisions through workflow automation and focused performance investigation. These three flagship stories show that range; six supporting cases explain the rules, people and practices behind it.

I use generalized enterprise workflows and fictionalized examples to explain product decisions.

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Three flagship stories connect my work.

I lead with the production enterprise workflow platform: shared controls, team-specific workflows, migration and adoption. The payer-automation case follows the operational decision into API and interface workflows, with an internally circulated estimate of more than 5,000 annual work hours saved following implementation in 2025. The performance investigation shows how I redirected a persistent problem toward high-impact queries; the team UAT comparison recorded 74.9% lower average request response time.

The full library also covers assignment, authorization integrations, denial orchestration, data governance, enterprise delivery and MIN–MAX Living. The first eight cases describe enterprise delivery or applied practice. MIN–MAX Living is my private renter-decision prototype; renter research and an external beta are next.

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9 cases

Production platform

Enterprise workflow platform

I led workflow strategy, controlled delivery, legacy migration and adoption on a shared enterprise platform at HCA Healthcare.

Multiple teams migrated from legacy applications

Delivered production workflows; recurring monthly expansion

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Delivered workflow

Payer workflow orchestration

I led product work joining payer responses, clinical-documentation events and staff actions into a governed workflow, from the event model through initial delivery.

Estimated 5,000+ annual work hours saved

Internal annual estimate following the 2025 implementation

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Delivered AI-assisted practice

AI-assisted performance investigation

I redirected a long-running performance effort toward the highest-impact queries, connecting technical evidence to how people actually searched and used the application.

74.9% lower average request response time in UAT

Team release result; 1,000 virtual users, June 28 to July 6, 2026

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Delivered integration

Denial governance and integration

I led product requirements for denial governance, synchronization, validation and recovery across connected workflows.

Delivered integration and governance capabilities

Generalized architecture

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Delivered workflow

Clinical-review coordination

I led workflow definition, ownership states and operational visibility for time-sensitive clinical-review coordination.

A workflow with explicit ownership and follow-up

Delivered workflow; public states and examples are generalized

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Implemented practice

Data quality in the workflow

I introduced data-quality checks, documentation and review practices within the product workflow.

30% improvement in reporting efficiency

Data quality and reporting

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Delivered enterprise work

Enterprise delivery and adoption

I contributed to product delivery, analytics, UAT, enablement and adoption across enterprise teams.

95% of approved enhancements delivered on time

Enterprise delivery and adoption

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Delivered workflow

Human-supervised assignment

I led discovery, business-rule definition and UAT for an assignment workflow with explicit eligibility, ranking and review.

Accurate assignment in production

Optimized within the defined operating constraints

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Private prototype

MIN–MAX Living

I designed a renter-decision workspace that compares costs, applies must-haves and keeps missing evidence visible.

A working private decision prototype

Renter research and external beta are the next steps

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Continue the story

Start with the shared foundation.

I led a platform that had to serve several teams without flattening their workflows. That case introduces the state, priority and ownership decisions that recur throughout my work.

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Case maturity map

What kind of evidence is in this library?

The nine public cases cover one live production platform (Scaling a Critical Enterprise Workflow Platform); seven delivered work or practice cases (API-Driven Payer and Clinical Workflow Orchestration, Denial Governance and Integration Reliability, AI-Assisted Application Performance Optimization, Constraint-Based Provider Assignment, Clinical-Review Coordination Workflow, Data Quality in Product Workflows, and Enterprise Product Delivery at Nike); and one private prototype (MIN–MAX Living). The provider-assignment and clinical-review pages explain delivered underlying workflows through fictionalized or generalized public examples.

The public interactive demos use fictional inputs to illustrate product behavior; production use and customer adoption require separate case evidence.

Open the nine case pages

AI-Assisted Application Performance Optimization

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Delivered AI-assisted product-operations practice; documented team UAT comparison and generalized implementation details

MIN–MAX Living

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Private prototype; renter research and external beta are next.

Scaling a Critical Enterprise Workflow Platform

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Live in production for 3+ years | Multiple teams migrated | Incremental monthly releases | Critical enterprise workflow application

Constraint-Based Provider Assignment

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Assignment is working accurately in production within its operating constraints. The public model uses fictional cases and simplified rules.

API-Driven Payer and Clinical Workflow Orchestration

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Delivered payer-response and clinical-workflow capabilities; the Estimated 5,000+ annual work-hours outcome applies only to the approved payer-response automation workstream

Denial Governance and Integration Reliability

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Delivered integration work represented through a generalized architecture

Clinical-Review Coordination Workflow

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Underlying clinical-review coordination workflow delivered; public states, rules and examples are generalized

Data Quality in Product Workflows

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Product workflow practices implemented within delivery scope

Enterprise Product Delivery at Nike

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Delivered enterprise product and process improvements; implementation context is generalized

Sources and measurement

Case maturity map

What kind of evidence is in this library? The nine public cases cover one live production platform (Scaling a Critical Enterprise Workflow Platform); seven delivered work or practice cases (API-Driven Payer and Clinical Workflow Orchestration, Denial Governance and Integration Reliability, AI-Assisted Application Performance Optimization, Constraint-Based Provider Assignment, Clinical-Review Coordination Workflow, Data Quality in Product Workflows, and Enterprise Product Delivery at Nike); and one private prototype (MIN–MAX Living). The provider-assignment and clinical-review pages explain delivered underlying workflows through fictionalized or generalized public examples. The public interactive demos use fictional inputs to illustrate product behavior; production use and customer adoption require separate case evidence. Open the nine case pages AI-Assisted Application Performance Optimization · Delivered AI-assisted product-operations workflow; implementation details are generalized; the July team UAT comparison is published MIN–MAX Living · Private prototype; renter research and external beta have not started Scaling a Critical Enterprise Workflow Platform · Live in production for 3+ years | Multiple teams migrated | Incremental monthly releases | Critical enterprise workflow application Constraint-Based Provider Assignment · Underlying provider-assignment workflow delivered; the public model and interactive demo are fictionalized and are not a production clinical-matching system API-Driven Payer and Clinical Workflow Orchestration · Delivered payer-response and clinical-workflow capabilities; the Estimated 5,000+ annual work-hours outcome applies only to the approved payer-response automation workstream Denial Governance and Integration Reliability · Delivered integration work represented through a generalized architecture Clinical-Review Coordination Workflow · Underlying clinical-review coordination workflow delivered; public states, rules and examples are generalized Data Quality in Product Workflows · Product workflow practices implemented within delivery scope Enterprise Product Delivery at Nike · Delivered enterprise product and process improvements; implementation context is generalized