Choose the right AI for your payments and finance operations
I work with payments companies, banks and merchants on AI adoption: which processes to start with, what software and models to use, whether it passes Legal and InfoSec, and what it costs and returns
- 20+years in payments, including Citi, Mastercard and Edgar, Dunn & Company
- 75+engagements for banks, fintechs, card networks and merchants
Services
Planning a use case
Build, buy or hybrid
Which software, models and partner should we use for this process, and will it work on our cases?
The project starts with a three to four week sprint. Follow-on work, such as running an RFP, a pilot or contract support, is scoped at the end of the sprint.
Talk it through →- Route agreed: buy, build or hybrid
- Software and models matched to each step, with the cost per case
- What each vendor or partner claims, checked on your own cases
- Who builds it: an AI consultancy, an implementation firm or your own team
- Hosting, data retention and DORA terms checked, so Legal and InfoSec can sign off
Other services
Finding use cases
AI business case
Which process should we start with, and does the business case for AI stack up?
It starts from my map of 50 payments and finance processes.
2 to 3 weeksFixed price See details →Picking tools
Software and partner selection
Which vendor or partner should we pick, and what goes in the RFP?
Shortlist and RFP pack Talk it through →Already running AI
Value check
Are our AI tools and pilots delivering what was promised, and should we scale, fix or stop each one?
Scoped to your tools Talk it through →Ongoing support
Fractional Head of AI adoption
A few days a month to run AI adoption alongside your team: picking and prioritising use cases, managing vendors and partners, keeping Legal and InfoSec on side, and training staff so the change sticks.
I'm also happy to discuss what you need and scope a tailored project.
Backed by ScalePoint Research
I run ScalePoint Research, which tests AI models on real payments and finance tasks and works out what each case costs, including mistakes. The projects use the same tests and economic models.
ScalePoint Research is running a survey on how firms are approaching AI in payments and finance operations. Take part →
About me
I advise payments companies, banks and merchants on AI adoption and its economics: finding and prioritising use cases, picking tools and checking what vendors claim, working out where AI can run under data retention and hosting rules, and what it costs and returns. I work project by project or as a fractional Head of AI adoption. I also run ScalePoint Research, which tests AI models on real payments and finance tasks and works out what each case costs, including mistakes.
I spent ten years in operating roles at Citi, Mastercard and the start-up Luup, then nine years at Edgar, Dunn & Company, latterly as a Principal, on more than 75 engagements for banks, fintechs, card networks, private equity firms and merchants, from setting strategy to rolling out new products and processes. Since 2024 I've worked independently with payments and fintech businesses on strategic finance and value creation. I split my time between London and Barcelona.
You can also connect on LinkedIn.
Start with a short call
After the call, you get a one-page proposal with the shape of the project and a ballpark price. There's no fee and no commitment.
You can also connect on LinkedIn.