AI gives you the productivity of a much bigger business.

I build AI tools for small businesses to offload admin, find new customers, cut costs and uncover opportunities they’d otherwise miss.

— Gregory James Condon

You don’t need to know where AI can help before we start. My background is both business and technology, so we talk in your language and build the tools you need.

See what I’ve built → Tell me about your business →

Three things I build.

Each is in daily use by a real business.

Find the right customers, stockists or stock

Research tools that search a whole market, apply your judgement automatically, and hand you a short list with the evidence for each one.

ExampleOberflacht – a ranked list of high-end retailers worth approaching, with the reasons.
Take the repetitive expert work off your desk

Automate the tasks that need your judgement but take up your week, so your time goes on the work only you can do.

ExampleFound by Markus – thousands of listings filtered to a shortlist for expert review.
Run things at scale without more staff

Content, data and operations that run day to day with very little manual work.

ExampleA publishing site with several thousand pages, largely self-running.

What I’ve built.

Two systems in daily use.

Retail growth · candle maker

Oberflacht

Handcrafted sculptural candles sold through high-end design and fashion shops, with plans to grow abroad.

Problem: Finding new high-end shops that would suit the brand meant researching every one by hand.
What I built: A research system that finds shops that already stock brands like theirs, checks each one, and returns a ranked list with the reasons. The list keeps itself up to date, and an interactive map shows which brands sit in which shops, so new leads come from brands they already sit alongside.
Result: More high-end shops now stock Oberflacht’s candles.

Full case study

The stockist map, with the names taken off: 119 shops and 233 brands, joined where a shop is known to carry a brand. Filled: current stockists. Ringed: shops the system found that the owner has said yes to. Hover over or tap any dot to see who sits alongside whom.

Sourcing · vintage furniture dealer

Found by Markus

A vintage furniture dealer whose business depends on finding the right pieces before anyone else does.

Problem: Good pieces appear and disappear fast across a huge market, and only the dealer can tell a good one from a weak one. Looking took a large part of his time.
What I built: A system that watches a huge, fast-moving market, applies the dealer’s own criteria automatically, and delivers a shortlist worth his time. Weak matches are removed before he sees them, so his attention goes only to pieces that are likely to sell. The criteria are his, written down and applied every time.
Result: He now reviews a shortlist instead of the whole market.

Full case study

A low-risk way to start.

Each step is small, and you commit to a build only once you know what it should return.

01

A conversation about your business

You tell me about your business. I tell you where AI is likely to pay off, and if I don’t think it will, I say so.
02

Build

A fixed scope and price agreed in advance. You get a working system, and we measure it against real results.

Low risk to start. For many businesses, significant improvements can be identified and developed without access to live internal IT systems or sensitive business data.

Business first, technology second.

Fifteen years in the NHS managing services and an £18m budget, and before that building systems for Deutsche Bank, Virgin Atlantic and BP. I have been accountable for results, not only for the technology.

Full experience & case studies

Now

Independent – AI systems for small businesses

Building and running the systems above.
15 years
NHS, London

Managed children’s mental-health services and an £18m budget at NHS City & Hackney; before that, change projects at St George’s Hospital.
- £18mNHS budget I was responsible for
- 3 of 3National targets met by the end of my tenure, from three of four missed at the start
Earlier

IT consultancy

Built data and reporting systems for Deutsche Bank, Virgin Atlantic and BP.

Qualifications

MSc Information Technology · Newcastle University
PGDip Management · Birkbeck, University of London

Common questions.

I’m not sure where AI could help my business. Is that a problem?

No. Most people start there. Working it out is what the first conversation is for.

What kind of businesses do you work with?

Makers, specialist dealers, small retailers and independent publishers. Usually there is one job that needs your expertise and takes too much of your time.

Do you need access to our systems or data?

Usually not. Where it would help, we agree that first.

Do you advise, or do you build?

Both. I find the opportunity, then build the system and, where useful, run it. You end up with something that works, not a report.

What happens after I get in touch?

I reply within one working day with a few initial thoughts.

Tell me about your business.

A few lines is enough. I reply within one working day.

If I’ve emailed you, just hit reply.

Otherwise: greg@gregjc.com

Based in London. I work with businesses across the UK and beyond.

AI gives you the productivity of a much bigger business.

Three things I build.

Find the right customers, stockists or stock

Take the repetitive expert work off your desk

Run things at scale without more staff