AI as a tool, not a data leak
Most popular AI tools learn from what you type — your documents and data can be stored and used to train models you don't control. I work differently: AI runs inside your environment, or on enterprise platforms with no-training, no-retention guarantees.
The pattern I build around is simple — AI absorbs the high-volume routine, and you stay in control of the judgment.
Ways I put AI to work
Workflow automation
AI agents that handle document processing, data extraction, drafting and routing — with a human kept in the loop for the calls that need judgment.
Private & secure AI
Run inside your own environment, or on enterprise platforms with no-training, no-retention guarantees. No leaking your data to a public chatbot.
AI-built websites
I design and build sites from the ground up with AI in the loop — not dropped into a generic template. Custom, fast, and entirely yours.
Content, SEO & GEO
AI-driven content workflows tuned for search and for GEO — getting you found in AI-generated answers, not just traditional search results.
Mobile & Google Play
Familiar with the full app lifecycle, including Google Play Store listings, signing and release — so your app actually ships, not just builds.
AI in your product
Chat, search, summarisation and recommendations wired straight into the systems you already run.
What AI is already doing out there
A few publicly reported examples of the same pattern — AI handling the routine at scale while people keep the judgment.
Klarna
An AI assistant handled two-thirds of customer chats within a month, cutting resolution time from ~11 minutes to under 2 — with humans brought back for complex cases.
Commonwealth Bank
An AI fraud agent helped cut fraud losses by over 20% year-on-year, screening 20M+ payments a day in real time while analysts focus on genuine threats.
Pennsylvania
In a state pilot, 175 employees across 14 agencies saved ~95 minutes a day with secure enterprise AI, with people kept at the centre of decisions.
Document automation
A document-heavy firm cut processing time 75% and returned 30+ hours a week with an AI extraction pipeline — human review preserved where it mattered.
Visual inspection
AI vision holds 95–99% accuracy around the clock where manual inspection misses 20–30%; BMW has reported a 37% defect reduction.
Selective harvesting
Vision robots pick only ripe fruit, gently, 24/7 — cutting post-harvest loss by up to 25% and filling a labour gap rather than displacing workers.
Figures as publicly reported. These are industry examples of what AI automation can do — not my own client results.
Tools & tech
A sample of what I reach for — not an exhaustive list, and I'll always use what fits your project best.
Got something to automate or build?
Tell me what's slowing you down, and I'll tell you straight whether AI is the right fit. First reply is free, no obligation.