I design and build systems
that turn manual processes
into reliable operations.

From discovery and process mapping through to deployment and iteration — I focus on building controlled systems that reduce operational risk, improve efficiency, and deliver measurable outcomes.

$60k
Additional monthly revenue
Multi-channel AI enquiry system
80%
Process time reduction
Insurance document automation
20h+
Staff hours saved weekly
Across 3 staff at a legal firm
15+
AI agents delivered
Across 10+ clients

Methodology

How I design systems

Every engagement follows the same structured approach — because the quality of a system is determined long before the first workflow is built.

01

Define Inputs & Outputs

Every system starts with clarity. I identify what comes into the system and what must come out — anchoring the solution in real business outcomes before any tools are considered.

02

Map the Real Business Process

I work with stakeholders to understand how work is actually done, not how it's documented. This surfaces bottlenecks, inefficiencies, and logic gaps that automation needs to account for.

03

Translate to System Logic

Business steps become structured logic — triggers, conditions, state changes, and data flows. This is where business thinking becomes system design.

04

Design Controlled Automation

AI is powerful but unreliable without constraints. I design systems where AI operates within defined boundaries, outputs are validated, and deterministic logic controls outcomes.

05

Validate & Pressure Test

Before building, I stress-test the design against edge cases and failure scenarios. This significantly reduces debugging in production.

06

Build, Deploy & Iterate

I implement the system, deploy it into production, and refine it based on real-world usage and feedback.

Work

Systems designed & deployed

A selection of production systems across different industries. Click any card to see the full breakdown — problem, decisions, solution, controls, and outcome.

Additional work available on request. Including lead generation agents, document OCR pipelines, internal tooling, and further voice AI deployments.

Reliability

How I build systems
that hold up in production.

AI is not reliable on its own. The systems I build treat AI as a capable but bounded component — not as the single point of control.

Every system includes structured controls from the start. The goal is predictable, controllable behaviour at scale — not demos that fail under real conditions.

Standard control patterns

  • Validation layers before any processing begins
  • Structured JSON outputs with schema enforcement
  • Deterministic routing logic — not left to the model
  • Confidence scoring and human-in-the-loop approval
  • Retry logic and fallback paths for every failure mode
  • Error logging and notification workflows
  • Escalation routes for edge cases

Impact

Delivered outcomes

15+
AI agents delivered
20+
Workflows deployed
10+
Clients across industries
90%
Automation rate achieved (NOAH)

Capabilities

Skills & stack

Process & Analysis

  • As-Is / To-Be mapping
  • Discovery & stakeholder interviews
  • PRD & technical specification
  • Test case design (component, integration, E2E)
  • First-principles methodology

AI & Automation

  • n8n (production workflows)
  • LLM integration (OpenAI, Claude, Gemini)
  • RAG systems & vector search (Pinecone)
  • Structured output design
  • Prompt engineering & context management

Data & Integration

  • SQL (table design, queries, reporting)
  • Supabase, Airtable
  • REST APIs & webhooks
  • Google Workspace APIs
  • Dokploy / DigitalOcean / Doppler

Delivery

  • Sprint management & backlog prioritisation
  • Risk identification & mitigation
  • Client communication & status reporting
  • Training & documentation
  • Change management & adoption

Tools & technologies

n8nClaude / Claude CodeOpenAIGeminiPineconeSupabaseAirtableVapiElevenLabsDokployDigitalOceanDopplerExcalidrawMiroSQLREST APIsWebhooksGoogle Workspace APIsMicrosoft Power PlatformAzureComposioApifyZoho CRM
Live — Claude & Pinecone RAG

Explore how I think.

This assistant demonstrates how I approach system design, automation, and problem-solving. It's built on my career knowledge base and can generate process breakdowns, system architectures, risk analyses, and more.

Ask it about my experience, or give it a real problem to break down.

Open the agent →

Let's build something
that actually works.

If you're looking to design and implement reliable automation systems, I'd be glad to have a conversation.