Systems Analysis · Quality Engineering · AI Automation

Reliable systems for repetitive business work.

I analyze repetitive business operations and turn them into reliable AI-assisted systems that automate routine work, connect the right tools and data, and keep important decisions under human control.

I build systems for Business Process Automation
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Mark Ezekiel Cafe in a charcoal suit
Mark Ezekiel Cafe Systems Analyst · QA Engineer · AI Automation Systems Analysis · QA · AI Automation
01

3 Operational Case Studies

02

Process-First System Design

03

AI + Human Decision Systems

04

Quality Engineering & Monitoring

Business friction

The work that consumes time rarely looks complicated. It is usually repetitive.

Small businesses often lose time because routine administration, follow-ups, approvals, customer questions, and operational checks are distributed across people and disconnected tools.

01

Repetitive administration

Customer information is copied, spreadsheets are updated, records are created, and the same operating steps are repeated by hand.

02

Missed follow-ups

Leads, appointments, quotations, payments, and customers depend on someone remembering what should happen next.

03

Disconnected tools

Information is scattered across forms, email, spreadsheets, databases, CRM systems, and messaging tools.

04

Manual approval bottlenecks

Routine work pauses while staff repeatedly check the same conditions before allowing the process to continue.

05

Repetitive customer questions

Staff repeatedly answer questions about status, pricing, availability, bookings, and services.

06

Operational blind spots

Owners must investigate what is pending, late, unpaid, failed, or waiting for attention.

Automation removes the repetition. AI handles useful reasoning. People keep authority over important decisions.

How I solve business problems

From repetitive work to a reliable operating system.

I analyze where a business loses time to repetitive administration, disconnected tools, manual follow-ups, inconsistent processes, and information overload. I then design a controlled automation system that connects the workflow, uses AI where reasoning is useful, and keeps important decisions under human control.

  1. Business friction

    Identify the repeated work and operational cost.

  2. Process analysis

    Map people, information, handoffs, and decisions.

  3. System design

    Define the future-state workflow and business rules.

  4. Automation

    Connect predictable execution across tools and data.

  5. AI assistance

    Add reasoning only where it improves the process.

  6. Human control

    Keep consequential decisions with authorized people.

  7. QA + monitoring

    Validate rules, edge cases, failures, and visibility.

  8. Business outcome

    Deliver a clearer, more reliable operating process.

Why automation

Designing systems that remove operational friction.

I design systems that reduce repetitive work, connect fragmented processes, improve operational visibility, and keep important decisions under human control.

01

Reduce repetitive work

Automate predictable administrative and operational tasks so people can focus on work requiring judgment.

02

Improve process reliability

Turn important business steps into explicit, testable workflows with validation, exception handling, and clear state transitions.

03

Connect systems & data

Integrate applications, APIs, databases, webhooks, and operational records into one coherent process.

04

Preserve human control

Use AI for useful reasoning and assistance while business rules and people retain authority over consequential decisions.

Why QA + Systems Analysis matter

Why QA and Systems Analysis make the automation stronger.

This is a natural professional progression: understand the process, validate the process, then automate the process.

01 — Understand

Systems Analysis

  • Understand the business process
  • Gather and clarify requirements
  • Map information flow
  • Identify stakeholders
  • Define business rules
  • Locate important decisions
02 — Validate

Quality Engineering

  • Validate business rules
  • Test edge cases
  • Verify data integrity
  • Identify failure scenarios
  • Test permissions and access
  • Validate release readiness
03 — Automate

AI & Automation

  • Remove repetitive execution
  • Connect systems and data
  • Trigger reminders and follow-ups
  • Add AI reasoning where appropriate
  • Handle predictable workflow execution
  • Monitor failures and exceptions

Automation designed around the business process, not just the tool.

AI control model

Reasoning, execution, and authority remain distinct.

AI layer

  • Understand
  • Classify
  • Summarize
  • Extract
  • Draft
  • Recommend
  • Assist

Automation layer

  • Validate
  • Route
  • Trigger
  • Update
  • Notify
  • Integrate
  • Schedule

Control layer

  • Business Rules
  • Permissions
  • Human Approval
  • Audit
  • Monitoring
  • Failure Handling
AI assists. Workflows enforce. Humans decide.

AI handles reasoning where reasoning adds value. Automation handles repeatable execution. Humans retain authority over consequential decisions.

Before / after

A small-business process with fewer manual handoffs.

Before
  1. Customer inquiry
  2. Owner checks email
  3. Copies customer information
  4. Updates spreadsheet
  5. Creates quotation manually
  6. Sends follow-up
  7. Checks calendar
  8. Sends reminder
  9. Creates invoice
  10. Checks payment
  11. Requests review
After
  1. Customer inquiry
  2. Validated lead record
  3. AI or rules assist classification
  4. Quote generated
  5. Owner approval
  6. Appointment scheduled
  7. Automatic reminder
  8. Invoice workflow
  9. Payment follow-up
  10. Review request
  11. Operational visibility
  • Less repetitive administration
  • More consistent follow-up
  • Fewer manual handoffs
  • Clearer workflow ownership
  • Better operational visibility
Featured case study

GameQueue AI

AI-Assisted Gaming Lounge Operations Platform

The business problem

Gaming-lounge staff repeatedly handle customer questions, reservation requests, queue checks, session monitoring, reminders, no-shows, and customer escalations. Much of this work is operationally necessary but highly repetitive.

System designed

GameQueue AI connects customer self-service, reservations, waitlists, operational monitoring, staff notifications, trusted customer identity, and human-controlled decisions through one coordinated automation architecture.

  • AI-assisted customer support
  • Structured pricing and hours responses
  • Live game and station information
  • Trusted reservation self-service
  • Trusted queue self-service
  • Authoritative waitlist intake
  • Staff escalation and email alerts
  • Reservation reminder monitoring
  • Arrival and no-show monitoring
  • Session end and overstay monitoring
  • AI safety and audit monitoring
  • Human-controlled privileged actions

Automation / AI role

AI assists with approved customer questions and intent handling. Deterministic workflows validate requests, coordinate operational steps, and surface conditions that require staff attention.

QA / reliability

Trusted session boundaries, idempotent requests, validation, audit breadcrumbs, safe failure responses, and human approval protect important lifecycle decisions.

Business outcome

Routine customer questions and operational checks can be handled automatically while staff remain responsible for the decisions that require judgment.

View Case Study Try Interactive Demo
GAMEQUEUE AILIVE SAMPLE

Plan your next session

Sample customer-facing availability and game catalog.

12stations available
16games in catalog
4station categories
Racing game artwork
RacingAvailable today
Dark fantasy game artwork
Dark FantasyJoin waitlist
Tactical game artwork
TacticalAvailable today
GameQueue AI · Ask about pricing, operating hours, reservations, or queue status.
Two additional case studies

More systems built around real operational problems.

Together with GameQueue AI, these complete the three current case studies: service operations, gaming-lounge operations, and controlled digital fulfillment.

02Business process automation

Small Service Business Operations Automation

Problem. Leads, quotations, appointments, invoices, and follow-ups often move manually between email, spreadsheets, and staff.

System designed. An end-to-end workflow from inquiry through owner approval, appointment, reminder, completion, invoice, payment follow-up, and review.

  • Inquiry intake
  • Quotations
  • Owner approval
  • Scheduling
  • Reminders
  • Invoices
  • Payment follow-up

Automation / AI role. Validated workflows coordinate records, calculations, notifications, and follow-ups while customer-facing quotations remain gated by owner approval.

QA / reliability. Business-scoped records, state validation, failure monitoring, and explicit approval paths keep the process traceable and controlled.

Business outcome. Designed to reduce repetitive administration across the customer lifecycle.

View Case Study
03Digital commerce

Cozy Voxel Digital Commerce Automation

Problem. Digital-product orders require payment verification, order tracking, communication, secure delivery, and operational visibility.

System designed. A controlled fulfillment system connecting storefront checkout, GCash/PayPal flows, approval gates, tokenized downloads, email delivery, and operations oversight.

  • Order intake
  • Payment verification
  • Approval flow
  • Tokenized delivery
  • Expiration controls
  • Access tracking

Automation / AI role. Automation coordinates order intake, status changes, approval-controlled delivery, customer email, and operational records.

QA / reliability. Payment approval gates, purchased-key validation, expiring delivery tokens, access tracking, and fallback states protect fulfillment.

Business outcome. Reduces repetitive order handling while keeping digital fulfillment controlled.

View Case Study Visit Live Store
Live systems

Working systems behind the case studies.

Experience GameQueue AI as a customer, or visit the live Cozy Voxel storefront. The case studies explain the systems; the live interfaces prove the products exist.

Launch Live Demo Visit Live Store
Demo environment · Sample business data
Explore Live Demos
GameQueue AIAI-assisted gaming lounge operations
Launch Demo
Cozy VoxelDigital commerce and controlled fulfillment
Visit Live Store
What are your PC rates, and do you have stations available tonight?
I can help with current pricing and availability using approved business information.
PC Gaming · Sample response

Structured pricing and availability are returned without exposing internal system data. Reservation and queue actions remain validated workflows.

Can I join the waitlist?
Yes. I’ll collect only the approved fields and keep station assignment with staff.
What I can build

Capabilities organized around reliable delivery.

The work combines process understanding, system design, controlled automation, and quality validation. Platforms are selected from the requirement; they are implementation choices, not the professional identity.

01

AI & Workflow Automation

  • Business Workflow Automation
  • n8n Orchestration
  • API & Webhook Integrations
  • AI-Assisted Classification
  • Structured Extraction
  • Summarization
  • Decision Support
  • Human-in-the-Loop Workflows
  • Operational Notifications
  • Scheduled Automation
02

Systems Analysis

  • Requirements Analysis
  • Business Process Mapping
  • Workflow Design
  • Business Rules
  • State Modeling
  • Exception-Path Analysis
  • Integration Requirements
  • Process Improvement
03

QA & Reliability

  • Functional Testing
  • Regression Testing
  • API Testing
  • Database Validation
  • Playwright Automation
  • Negative / Edge-Case Testing
  • Failure-Path Validation
  • Automation Reliability Validation
  • Release-Readiness Thinking
04

Operational Systems

  • Internal Operational Dashboards
  • CRM / Process Integrations
  • Business-State Tracking
  • Auditability
  • Reporting
  • Workflow Monitoring Concepts
  • Exception Handling
  • Operational Visibility
Tools & platforms

A focused implementation ecosystem.

These tools support architecture exploration, implementation, integration, validation, and delivery. Engineering judgment, business rules, and human review remain responsible for the system.

AI engineering tools

Used across architecture exploration, technical analysis, implementation assistance, code review, QA support, debugging, documentation, and automation engineering.

  • ChatGPT
  • Claude AI
  • OpenAI Codex

Automation & orchestration

Implementation and orchestration for validated, event-driven, scheduled, and human-controlled workflows.

  • n8n

Data & integration

  • Supabase
  • PostgreSQL
  • REST APIs
  • Webhooks
  • JavaScript
  • TypeScript

Quality engineering

  • Playwright
  • Postman
  • SQL
  • Git
  • GitHub

Application & delivery

  • Next.js
  • Netlify
Portrait of Mark Ezekiel Cafe, systems analysis, quality engineering, and AI automation professional
About

Mark Ezekiel Cafe

Systems Analysis · Quality Engineering · AI Automation

My background combines systems analysis, software quality assurance, workflow automation, and AI-enabled solution design.

I approach automation from the operational problem first. I map how the business works, identify where time and reliability are being lost, and then design the systems, integrations, workflows, validation, and monitoring required to improve the process.

The objective is not to add AI everywhere. It is to use AI where it improves the experience, deterministic automation where business rules matter, and human control where judgment is required.

Systems Analysis · QA · AI Automation · Workflow Engineering

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Discuss your workflow

Let's build a better workflow.

If a business process is repetitive, fragmented, difficult to monitor, or dependent on too many manual steps, I can help analyze the process and design a more reliable system around it.

Discuss Your Workflow View Resume

Problem → requirements → business rules → system design → controlled automation.