Software
A rules platform in eight days, its designer in one evening
Condexa (my own product)
A no-code platform that turns business decisions into automated workflows, built as a working product with its own marketing site.
QuotedDelivered
AI that reaches production
Five days to know exactly where AI will pay in your business, and where it won't.
A focused, fixed-price sprint: your current systems and data, a ranked list of AI opportunities with payback, and a working prototype of the best one.
Who it’s for
- Leadership teams being asked "what's our AI plan?"
- Firms that tried an AI pilot and saw nothing change
What changes
- A ranked AI opportunity map with realistic payback
- A clickable prototype of the number one idea
- Governance basics: data, risk and acceptable use
What you get
- Current-state review of systems and data
- Prioritised opportunity map
- Product Concept Document with payback model
- Clickable prototype
How it works
Step by step
Step 1: Days 1-2
Systems, data and the work itself.
Step 2: Day 3
Opportunities ranked by value, effort and risk.
Step 3: Days 4-5
Concept, payback model and a prototype of the winner.
Time and price
- Time
- 5 working days
- Price
- Fixed price, agreed up front. Credited against a build within 60 days.
Evidence
Work behind the claim
HealthcareAnonymised
29 team-weeks of scheduling platform, built in 2 days
A European healthcare distributor
Calendars, resources and bookings for a homecare service, delivered with every acceptance criterion traced to a test.
QuotedDelivered
Retail and e-commerce
AI that earns money in a real resale business
Channelytix (my own product)
A multi-channel resale platform where AI writes the listings, cleans the photos and drives the marketplace, in production for a trading business.
Built from conceptDelivered
-, delivered in In production
Questions
Good questions, straight answers
Is AI-built software safe to run my business on?
It is as safe as the process around it. Every change is planned, reviewed by me, and proven by automated tests before it merges. Code scanning and security analysis run on every change. The AI does the typing; I am accountable for the result.
How do you keep our data private when using AI?
Your data stays in services covered by a data processing agreement, with enterprise AI endpoints that don't train on your data. I set out exactly where data goes before any build, and I use the least data needed for the job.
Where does AI not help?
Where the process itself is broken, where the data is poor, or where a simple rule would do. Many of the best outcomes I deliver are a process change or a better use of software you already own. I'll tell you when that's the case.
Next step
Tell me what's stuck.
In 30 minutes you'll know whether to fix it, buy it, build it or leave it. No pitch deck.