AI-Powered Automation

Turn slow, error-prone manual processes into automated workflows. I design and build AI automation that connects to your existing systems and delivers measurable results from day one.

Book a Free Call

Before & After: What Automation Actually Changes

Numbers from real client projects — anonymised but accurate.

Invoice processing

Before

3 hours per day, 3 staff members, 5% error rate

After

20 minutes per day, 1 staff member for exceptions, <0.5% error rate

Customer order confirmations

Before

Manual drafting from order system, 45 minutes per 20 orders

After

Fully automated drafts, reviewed in 5 minutes, sent in bulk

Monthly management report

Before

2 days of data gathering from 4 systems, manual formatting

After

Automated pipeline runs overnight, report ready by 8am on the 1st

How It Works

1

Process Analysis

I find the highest-impact processes to automate — based on your audit or a focused discovery session.

2

Solution Design

I design the automation workflow, pick the right AI tools and APIs, and plan how it connects to your existing systems.

3

Build & Test

I build incrementally, testing with your real data and gathering feedback at every stage.

4

Deploy & Optimise

I deploy to production, train your team, and keep monitoring and improving the system after launch.

What You Get

  • Custom AI automation workflows built for your processes
  • LLM and API integrations with the tools you already use
  • Testing against real-world data before go-live
  • Team training and documentation
  • Post-launch monitoring and performance reports
  • 30 days of support after deployment

What AI Automation Does NOT Mean

  • It doesn't mean replacing your team. Automation handles the repetitive parts so your people can focus on judgment, relationships, and creative work.
  • It doesn't mean a black box. Every system I build is explainable — your team can see what the AI decided and why.
  • It doesn't mean a big-bang project. I build incrementally, starting with the process that delivers the fastest ROI, then expanding.

Technology Stack

I use Python, LangChain, OpenAI API, Anthropic Claude, n8n, and custom integrations depending on your stack. Everything is built to run on infrastructure you control — no vendor lock-in, no ongoing per-seat fees to me.

Frequently Asked Questions

What kind of processes can be automated?

Any process that involves repetitive data handling, document processing, customer communication, reporting, or pattern-based decisions. Common examples: invoice processing, email triage, data extraction, and report generation.

How long does an automation project take?

A typical project takes 4–8 weeks from design to deployment. Simpler automations can go live in 2–3 weeks; complex multi-system integrations take longer.

Will this work with our existing software?

Yes. I build integrations with the tools you already use — CRMs, ERPs, email systems, databases, and cloud services. If your system has an API, it can be connected.

What's the typical ROI?

Most clients are in positive ROI territory within 3–6 months through reduced manual effort, fewer errors, and faster processing. I give you ROI estimates before starting.

Ready to Automate?

Book a free call to talk through which processes in your business are ready for AI automation.

Book a Free Call