Work

Automation projects that connect AI to real business processes

A sample of the systems I build for lead management, appointment handling, client onboarding, recruitment, and internal operations. Each project connects AI and workflow automation to real business processes rather than treating them as isolated tools.

What these are

Personal projects. They show how a process can be automated and connected to real business systems. They are not presented as measured client results or commissioned work.

How they are built

Each one starts with the business problem, then connects AI, workflow automation, APIs, and the tools a team already uses, with human oversight where it matters.

What to look at

The problem addressed, the owner's contribution, the architecture, and the tools used. Together they show how the system fits a real process.

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Personal project

AI Voice Receptionist & Appointment Automation

An AI receptionist that handles enquiries, checks availability, and books appointments while connecting the conversation to real business systems.

An AI voice receptionist that collects caller information, understands appointment requests, handles date and time information, checks appointment availability, manages unavailable slots, books appointments, connects with Google Calendar, records booking information, and supports CRM logging. The backend process runs on workflow automation with webhooks.

The problem

Reception teams can spend significant time answering repetitive enquiries, collecting appointment information, checking availability, and coordinating bookings.

Architecture

Caller -> AI Receptionist -> n8n -> Availability -> Calendar -> Booking -> CRM / Logging

My contribution

Automation design and build

Tools used

  • Vapi
  • n8n
  • Google Calendar
  • Webhooks
  • Supabase

What this shows

This project connects conversational AI with real business processes rather than treating an AI assistant as an isolated chatbot.

Personal project

AI Lead Management & Follow-Up System

An AI-integrated lead-management process that reduces repetitive qualification and administrative work.

An automated lead management workflow that receives lead information, normalizes the data, uses AI to evaluate the lead, categorizes leads (HOT, WARM, COLD), stores the information, alerts the appropriate people, supports follow-up, and logs workflow errors.

The problem

When businesses receive leads from different sources, manually qualifying, organizing, notifying salespeople, and following up can create delays and inconsistent processes.

My contribution

Automation design and build

Tools used

  • n8n
  • OpenAI
  • Airtable
  • Gmail
  • Slack

What this shows

The project shows how AI can be integrated into a lead-management process to reduce repetitive qualification and administrative work.

Personal project

AI Client Onboarding & Business Process Automation

Several small administrative tasks connected into one structured onboarding workflow.

An automated onboarding system that validates client information, identifies the selected service or package, creates organized Google Drive folders, sends welcome communications, tracks progress, notifies administrators, and handles workflow errors.

The problem

Client onboarding often involves repetitive administrative work across email, cloud storage, internal records, and team communication.

My contribution

Automation design and build

Tools used

  • n8n
  • OpenAI
  • Google Drive
  • Gmail
  • Google Workspace

What this shows

The system connects several small administrative tasks into one structured onboarding workflow.

Personal project

AI Recruitment Automation

An AI-assisted recruitment workflow that supports CV processing, candidate summaries, classification, and interview scheduling with human oversight.

An AI-assisted recruitment workflow that handles candidate intake, CV processing, candidate information extraction, AI-assisted CV analysis, candidate summaries, candidate classification, interview scheduling, and candidate communication.

The problem

Recruitment teams can spend substantial administrative effort processing CVs, extracting candidate information, organizing applications, and coordinating interviews.

Human oversight

AI is used as a decision-support layer rather than an autonomous hiring authority. Human review remains part of the process for important recruitment decisions.

My contribution

Automation design and build

Tools used

  • n8n
  • OpenAI
  • Google Sheets
  • Google Forms
  • Gmail
  • Google Calendar

What this shows

The project shows how AI can support recruitment administration while keeping human review for important decisions.

Personal project

AI Agency Operating System

A workflow system that reduces repetitive administrative work as agencies onboard and manage clients.

A workflow system for client data validation, package selection, Google Drive organization, welcome emails, progress tracking, administrative notifications, and error handling.

The problem

Agencies can accumulate repetitive administrative work as they onboard and manage clients.

My contribution

Automation design and build

Tools used

  • n8n
  • OpenAI
  • Google Workspace

What this shows

The system connects repetitive administrative work across client onboarding and management into one structured workflow.

About these projects

Every project on this page is a personal project. It shows how a process can be automated and connected to real business systems. These are not presented as measured client results, commissioned work, or verified outcomes. If you want to see how a similar system could fit your process, book a discovery call.

Want a system like this for your process?

Tell me what you are trying to improve. I will look at the process, identify the bottleneck, and suggest whether automation fits the problem.