All sections in this case
My contribution
I owned discovery, workflow strategy, priorities, controlled delivery, migration and adoption. Operations supplied workflow context; UX, engineering, data and review teams shaped and validated the implementation.
What changed
Multiple teams migrated from legacy applications
Delivered production workflows; recurring monthly expansion
View measurement contextWhy this problem deserved attention
Different teams depended on separate applications and established ways of working. Replacing the interface alone would leave the underlying differences in eligibility, timing, ownership and escalation unresolved.
I chose to make the common orchestration model reusable while preserving the behaviors each team needed. That gave expansion a shared foundation and made operational continuity part of the product decision.
The choices that shaped the product
| Choice examined | Product consequence | My direction |
|---|---|---|
| Rebuild each legacy application separately | Preserves familiar differences but repeats the underlying platform work | Use one orchestration foundation with explicit workflow variants |
| Put every team in the same queue | Simplifies the surface while removing useful operating differences | Separate shared controls from team-specific states and rules |
| Expand without a controlled transition | Makes established workflows and continuity harder to validate | Sequence activation, onboarding and monitoring with each rollout |
How I led the work
I aligned teams around a concrete distinction: what belongs to the common platform, and what must remain specific to the workflow. That distinction connected discovery, requirements, validation and the rollout plan.
I coordinated role-based activation and end-to-end validation, then used reference guides and playbooks to make onboarding repeatable. Exceptions and frontline feedback informed subsequent monthly releases.
Inspect the reasoning
A common core, with deliberate variation
Reconstructed from the approved platform account. The diagram shows where reuse sits and where each workflow retains its own behavior.
Inspect the rollout sequence
| Stage | My product focus | Evidence used |
|---|---|---|
| Define | Map legacy dependencies and distinguish common controls from workflow variation | Workflow maps and operating needs |
| Activate | Coordinate controlled delivery, role access and onboarding | End-to-end validation, readiness and reference guides |
| Expand | Use exceptions and feedback to choose subsequent monthly work | Post-launch monitoring and frontline feedback |
The judgment behind a control
Larger customers wanted more centralized control over workflow changes. I needed to support that enterprise adoption requirement while preserving the flexibility teams relied on.
In a related shared-controls decision, I initially leaned toward more central restrictions. Reviewing how teams worked changed the question: which actions need a restriction, and which need clearer visibility or ownership? We added hard controls selectively.
Inspect a documented migration scope decision
The migration blueprint separates work that is waiting for a first payer response from work waiting for a later review. A generic pending queue would hide which action had already happened and what should happen next.
The 2025 delivery breakdown also separates core phase and queue work from automatic next-item assignment, which was still in requirements. This made readiness visible for each part of the migration.
| Design question | Documented distinction | Why it matters |
|---|---|---|
| What is this item waiting for? | First response, follow-up response or escalation decision | The same pending label can require different follow-up |
| What makes it appear or leave? | Entry criteria, exit action, timing and exceptions | A visible queue needs an explainable state model |
| What belongs in the detail view? | Encounter context, payer information and review history; queue age separately scoped | A shared view must preserve the context of different workflows |
This reconstruction shows documented product scope and decisions. Individual requirement and delivery-status entries are separate from adoption or business-outcome measures.
How the first release shaped the next scope
The smart-worklist record identifies an April 2024 Phase 1 release centered on practical filtering tasks: finding assigned work, narrowing by team or payer, and surfacing work by status and timing. A follow-up user session was scheduled to inform later milestones.
Later requests carried their own data dependencies and development estimates. For example, a payer filter depended on a shared payer reference, while an authorization-related filter depended on the authorization feature. The backlog made those dependencies visible before committing the next scope.
A shared detail view, with explicit boundaries
The encounter-view specification brought payer responses, pending actions and review history into one workspace. Its component map separated capabilities that already existed from new sequence behavior and APIs that needed updates.
| Scope choice | Documented decision | Product consequence |
|---|---|---|
| Reuse existing context | Retain existing encounter, payer and document capabilities | Concentrate new work on the workflow gaps |
| Make sequence behavior explicit | Define day-level response states and their display precedence | Different responses need a consistent interpretation |
| Name dependencies and exclusions | Identify API changes; keep queue age outside the initial view scope | A unified screen still needs a bounded release |
These are specification and scope decisions. Release and adoption results are described separately in this case.
What changed
I helped participating teams move onto a common production foundation with distinct workflow experiences. Teams gained clearer next actions, less manual tracking, less duplicate or conflicting work and more consistent coordination.
The workflow product achieved 98% functionality compliance through UAT.
Measurement context
98% functionality compliance through UAT
Internally reported UAT functionality compliance. The test population, period and comparison baseline are not published here.
Platform scale and ownership
I work on a shared healthcare platform reported to process millions of accounts, with more than three years of production operation.
Source: owner-reported platform context. Scope: the shared healthcare platform as a whole.
My ownership began in November 2023 and covers workflow strategy, controlled delivery, migration and adoption. The platform’s original launch predates my tenure.
What I carry into the next decision
A shared platform earns adoption by preserving the useful differences between teams. I carry that distinction into the next workflow before deciding which rules should become common controls.
Explore the full case
Follow the delivery path, constraints and operating decisions in more detail.
Why the problem mattered
The organization needed to move operational groups away from fragmented legacy applications without losing work, disrupting established operating rhythms or forcing every team into an identical workflow.
A sorted list could not replace the legacy environment safely. The product needed a common orchestration model that preserved operational continuity while supporting team-specific states, timing, visibility, escalation and resolution rules.
The people behind the workflow
- Operations teams
- Data analytics teams
- Performance evaluation teams
- Review and specialized workflow teams
Led across operations, UX, engineering, data, analytics, performance evaluation and review teams.
Constraints and exceptions
- Legacy behavior had to be preserved while the underlying application changed
- A work item changed state after a partial response
- Timing and suppression rules competed with apparent urgency
- A team-specific rule diverged from the shared workflow model
- A downstream synchronization completed only partially
- An exception required accountable human escalation
Product strategy
- Build a reusable orchestration platform with team-specific workflow rules, controlled rollout capabilities and explainable state transitions instead of recreating each legacy application independently.
- Separate eligibility, state determination, timing, suppression and priority so users could understand why work appeared and what action was permitted.
- Preserve team-specific operating behaviors inside shared enterprise controls rather than forcing every group into one identical queue.
- Use controlled activation, reference guides and post-launch monitoring to protect continuity during migration.
- Treat workflow exceptions and frontline feedback as inputs to recurring monthly product releases.
The product model
- Eligibility and workflow-state determination
- Timing, aging and suppression controls
- Within-state prioritization
- Explainable actions and transitions
- Exception handling and human escalation
- Resolution and downstream synchronization
- Role-based and team-specific workflow modules
- Controlled activation and monitoring
I keep timing and suppression checks explicit. In this model, higher priority does not automatically override either check.
The linked workflow demo uses fictional records to illustrate the routing rules.
Delivery and adoption
- Mapped legacy workflows, operating dependencies and behaviors that had to be preserved
- Separated common platform requirements from team-specific workflow rules
- Coordinated controlled rollout, role-based activation and end-to-end validation
- Created reference guides and playbooks for repeatable onboarding
- Used post-launch feedback, exceptions and monitoring to prioritize subsequent releases
Lessons and next decisions
Enterprise workflow transformation succeeds when a product preserves operational continuity while replacing legacy complexity with a reusable platform, explainable decisions and a disciplined expansion model.
- Continue reliability and performance optimization
- Expand workflow variants through the shared orchestration model
- Use exception and adoption signals to guide monthly releases
From the initial problem to delivery
Workflow ownership since November 2023 → controlled delivery → team expansion
- Define
Mapped legacy workflows and separated shared state and controls from team-specific rules.
- First release
Led workflow delivery with controlled activation and end-to-end validation during my tenure.
- Extend
Migrated more teams and expanded workflow modules through recurring releases and feedback.
Migration and adoption
Multiple teams moved from legacy applications onto a shared orchestration foundation. Controlled activation and monthly releases kept migration and expansion connected.
- Mapped legacy workflows and operational dependencies
- Identified behaviors that had to be preserved
- Separated common platform requirements from team-specific rules
- Used controlled rollout and feature activation
- Created frontline reference guides and playbooks
- Coordinated onboarding across participating teams
- Preserved operational continuity during migration
- Used post-launch feedback and exceptions to prioritize later releases
How the platform expanded
Core authorization workflow
A shared production workflow for eligibility, state, action and resolution.
Coordinator and escalation workflow
A team-specific experience for coordination, exceptions and accountable escalation.
Specialty-team workflow
A specialized module built on the same enterprise controls and transition model.
- Workflow discovery and state modeling
- Controlled workflow delivery
- Legacy-team migration
- Role and team expansion
- Monthly workflow, usability and automation releases
- Integration and downstream synchronization
- Reliability and performance optimization
- Current critical production operation
Carry the risk through to resolution
- Transparent status communication
- Dependency ownership
- Cross-team coordination
- Feature flags and controlled activation
- End-to-end validation
- Release-readiness decisions
- Post-release monitoring
- Closure of identified risks
Follow the user journey
Critical user journey
Help an operational reviewer find the right work, understand why it needs action and continue without losing context.
- Enter worklist
See eligible work in one governed view.
Production workflow
- Understand priority
Use timing, state and priority signals to identify the next item.
Production workflow
- Inspect context
Review the evidence and explanation attached to the permitted action.
Production workflow
- Complete action
Take the allowed workflow step or escalate an exception.
Production workflow
- Confirm state
Verify routing, resolution or downstream synchronization.
Production workflow
- Continue work
Return to the prioritized queue with context preserved.
Production workflow
How operating signals shaped my decisions
From an operating signal to a product decision.
Urgent work was difficult to distinguish.
- My interpretation
- A sorted list alone could not explain priority.
- My product response
- Separate eligibility, state, timing and priority controls.
- Supporting evidence
- Live production workflow with internally reported 98% functionality compliance through UAT.
Decision context was distributed across workflows.
- My interpretation
- Reviewers needed context at the moment of action.
- My product response
- Attach explainable actions and transitions to the governed state model.
- Supporting evidence
- Multiple teams migrated while operational continuity was preserved.
Teams required distinct operating behavior.
- My interpretation
- One rigid queue would recreate legacy friction.
- My product response
- Use one orchestration foundation with team-specific workflow rules.
- Supporting evidence
- Recurring monthly releases continue to expand the shared platform.
Compare the workflow before and after
From fragmented workflows to one production platform
Fragmented environment
- Separate legacy applications
- Manual context reconciliation
- Team-specific behavior
- Inconsistent visibility
Product decision
- Shared orchestration foundation
- Team-specific rules
- Explainable states and actions
- Controlled migration
Unified production platform
- Multiple teams on one foundation
- Operational continuity preserved
- Recurring monthly releases
- Continued workflow expansion
Confidentiality
I’ve generalized the implementation details in this case to protect confidential information.
Team names, workflow states, thresholds, identifiers, routing logic and examples have been generalized or modified for public portfolio use.