ETCOM

Unified Tax Rule Automation Platform

ETCOM modernized how Amazon authorizes, validates, and deploys tax rules at global scale. I led the end-to-end redesign of critical authoring and deployment workflows, transforming a fragile, Excel-driven process into a governed, auditable platform supporting 800,000+ rules across 19 services.

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IMPACT (AT A GLANCE)

95% Faster Deployments
<1% Production Errors
100% Version Tracking & Auditability
Clear Ownership & Real-time Visibility

Lead Product Designer

Strategy · UX · Workflow Design · Cross-Org Alignment

Over a year-long engagement on the Tacoma platform, I partnered closely with Product, Engineering, and Tax Operations to redesign how tax rules move from creation to production at scale.

I joined during the final pre-launch phase, where core functionality was largely in place, and focused on strengthening the tax rule authoring and deployment experience. I identified critical workflow gaps that posed adoption and usability risks, and worked with cross-functional partners to resolve them ahead of launch.

I led a 4-month end-to-end redesign of the deployment workflow, spanning:

  • User research and walkthroughs
  • Workflow modeling and validation
  • Design delivery and launch adoption

Post-launch, I continued working directly with users to understand how teams were transitioning from Excel-based authoring to ETCOM. I synthesized insights across teams, surfaced mental-model mismatches, and translated findings into a prioritized improvement backlog presented to leadership, ensuring the platform evolved with real operational needs.

Case Study — Deep Dive

The Problem: A Fragile Legacy System

Amazon’s legacy Rule Management System, built in 2012, had evolved into a high-risk operational bottleneck that managed 800,000+ tax rules across 19 services and processing nearly 13 trillion calculations every month.

Rule Authoring

(Excel-based)
Manual edits No dependencies

Coordination

(Email / Slack)
Ownership unclear Version conflicts

Validation

(Late-stage)
Errors discovered too late

Production

(High Blast Radius)
One mistake affects millions of users

Despite this scale, tax rules were still:

  • Authored and edited manually in Excel
  • Coordinated through emails and Slack threads
  • Deployed via fragmented, opaque workflows

At this volume, small mistakes had massive consequences.

In one instance, a single rule issue halted Prime Now orders across four EU markets for several hours. The system was reliable only as long as nothing went wrong, but this was no longer acceptable.

Key Users & Accountability

Tax Rule Author

Business User
Primary responsibility

Create and maintain tax rules that directly impact production calculations.

Core pain

Manual, error-prone authoring with limited visibility into dependencies and downstream impact.

Risk they carry

A single mistake can cause incorrect tax calculations or customer-facing outages.

What success looks like

Confidently author rules with clear validation, visibility, and safe deployment.

Tax Rule Deployment Owner

Operations
Primary responsibility

Validate, approve, and deploy tax rules across regions and services.

Core pain

Fragmented workflows, manual coordination, and poor visibility into deployment readiness.

Risk they carry

Failed or partial deployments that disrupt production and trigger compliance incidents.

What success looks like

Predictable, auditable releases with real-time status and safe rollback options.

Solution: What is ETCOM?

ETCOM modernizes how Amazon’s tax teams create and manage tax rules. Previously, tax analysts had to download Excel files, make changes offline, and re-upload them often juggling Slack threads to coordinate who was editing what. It was slow, error-prone, and mentally exhausting. With ETCOM rule authoring happens directly on the platform, where updates are instantly visible to everyone.

Each change is tracked, clearly showing who made what edits, which has greatly improved transparency and collaboration. Testing and deployment are now streamlined, saving hundreds of manual hours. The next phase,launching this December introduces AI-generated rule authoring from legislation, further accelerating accuracy and efficiency.

Key Design Decisions

📦

Snapshot-Based Deployments

Decision

Deploy rules as explicit snapshots instead of individual rule releases.

Why

Prevent partial or inconsistent production states.

Outcome

Predictable releases, safer rollbacks, and fewer production incidents.

☑️

Guided Deployment Flow

Decision

Designed a step-based deployment experience instead of exposing raw engineering pipelines.

Why

Business users lacked visibility and confidence in developer-centric tools.

Outcome

Faster adoption and reduced dependency on engineering support.

👁️

Centralized Ownership & Visibility

Decision

Centralized deployment status, ownership, and audit history in one place.

Why

Fragmented ownership increased risk and slowed incident response.

Outcome

Clear accountability, faster issue resolution, and compliance confidence.

Reimagining the Workflow

Before: Manual & Fragmented

Rule changes lived across spreadsheets and services.

Teams coordinated changes through email and Slack.

Validation happened late, often after bundling.

Deployments were slow and unpredictable.

After: Unified & Automated

Rules authored and managed in one platform.

Ownership, status, and readiness visible in real time.

Validation and testing embedded in the workflow.

Releases were predictable, auditable, and safer.

Etcom User Journey

Etcom User Journey
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Design Evolution

High-fidelity wireframes visualizing the new consolidated workflows.

Wireframe 1
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Wireframe 2
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Wireframe 3
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Legacy vs ETCOM

Legacy System

The legacy system does not have step by step guidance or tracking mechanism to help users update on the progress.

Legacy System UI
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ETCOM

ETCOM provides easy rule(s) selection mechanism.

ETCOM UI 1
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ETCOM UI 2
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ETCOM UI 3
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ETCOM UI 4
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Implementation Challenges

Constraint

Engineering preference for reusing the existing code deployment pipeline UI

Risk

Non-technical users lacked visibility and deployment confidence

Approach

Live walkthroughs paired with quantified usability and error risk analysis

Outcome

Alignment on a simplified, guided deployment experience

Customer Walkthrough Sessions

To validate adoption and de-risk rollout, we conducted structured walkthroughs with end users before and after launch.

👥 3 focus groups · 37 participants across Content Authors and Tax Engine Operations, with Approvers and Service Owners included for cross-functional visibility.
🖥️ Hands-on walkthroughs of the redesigned deployment flow
Feedback directly shaped final interaction patterns, validation steps, and tracking

What People Are Saying

A Reliable Foundation for Scale

ETCOM transformed tax rule deployment from a fragile, manual process into a reliable, governed platform operating at global scale.

Beyond efficiency gains, the work reshaped how teams reason about readiness, ownership, and the balance between speed and compliance.

Most importantly, ETCOM established a foundation where automation could be trusted because governance was built into the system, enabling the next phase of AI-assisted rule creation, explored as a separate case study.