Applied AI for the operations that run your business.
We design, build and run AI systems for established companies, from finance operations to the factory floor. Every engagement starts with a risk-free diagnostic on your own data.
Most companies lose money in a handful of places: manual work in the back office, waste in operations, and decisions made on instinct at high volume. We find where, build the AI system that fixes it, and prove the result on your own numbers before you commit.
Four practices, one standard: a result you can measure.
We work where the cost of a manual process or a poor decision shows up directly in the accounts, and where AI can change it within weeks rather than years.
Finance operations
Take manual matching and data entry out of the back office.
- Order and invoice reconciliation
- Supplier invoice processing
- Cash and bank reconciliation
Manufacturing and supply chain
Less material, stock and freight wasted on every order.
- Cutting and material optimisation
- Demand and inventory planning
- Order processing
Decision intelligence
Models that make high-volume, high-value decisions consistently.
- Credit and collections prioritisation
- Pricing
- Risk scoring
Financial institutions
AI platforms for research, investment and operations teams.
- Research and strategy systems
- Data and workflow automation
- AI infrastructure
Selected work.
Client names are withheld under our confidentiality agreements. Figures are as measured or estimated with the client at the time.
All case studies →A debt-collection decision model for a global credit insurer
A production model that decides which overdue commercial accounts to pursue, and how, saving an estimated €3M+ a year in legal costs.
Steel cutting optimisation for a metals manufacturer
Optimisation models that plan how steel stock is cut to fill customer orders, cutting material waste by 35%.
Order and invoice reconciliation for a building materials distributor
A system that reads and matches orders, deliveries and supplier invoices automatically, matching 97% without manual work.
An AI operating system for institutional investors
A single AI platform for strategy research, testing and data workflows, used or validated by funds managing from $500M to $150B+.
AI product search for a fashion e-commerce business
An AI search engine that understands style and intent, built into production. The client acquired the intellectual property.
An AI assistant for a national HR function
An AI assistant that answers employee questions from company policy, estimated to reduce HR workload by 25% and evaluated for global rollout.
Proof before commitment.
Most AI projects are approved on a forecast. Ours are approved on a result. We prove the value on your own numbers first, and we are paid only from what it delivers.
- 01
Diagnose
You share one standard report under a confidentiality agreement. We identify where money is being lost.
- 02
Prove
Within seven days, we show in money what our system would have delivered on your past data.
- 03
Deploy
The system runs alongside business as usual, so the difference is measured, not estimated.
- 04
Scale
Fees come from the measured gain. If there is no gain, there is no fee.
Our thinking.
Practical guidance for leadership teams on where AI pays back, and how to prove it before you commit.
All insights →Back-office AI ROI: which finance processes pay back first
Which back-office processes give AI a measurable return within months, how to size it from volume, cost and exceptions, and which to leave alone.
Research · CollectionsDoes automated follow-up get overdue invoices paid? The evidence
What independent data shows about late payment in the UK and US, what automated invoice follow-up changes, what it does not, and how to measure it.
Guide · ApproachHow to run a risk-free AI pilot that proves ROI before you commit
Most AI pilots never show a return. A six-stage method to de-risk one: a money metric, a backtest, pre-agreed thresholds, a control group and stop rules.
Grounded in research, built for production.
Our work draws on peer-reviewed research in transformer models, carried out with Bocconi University and the University of Oxford. Every client system is held to the same standard: tested against a baseline, measured, and explained.
What leaders ask us.
Frequently asked questions
What does Artificial Frontiers do?
Artificial Frontiers is an applied AI consultancy for established companies. We design, build and run AI systems in finance operations, manufacturing and supply chain, decision intelligence and financial institutions, and tie our fees to measured results.
How does the risk-free diagnostic work?
You share one standard report from a system you already use, under a confidentiality agreement. Within seven days we show, in money, what our system would have delivered on your own past data. There is no cost unless value is shown.
How are your fees structured?
There is no retainer. Fees come from the measured gain, compared side by side with business as usual. If there is no gain, there is no fee.
What kinds of companies do you work with?
Established companies, typically in distribution, manufacturing, financial services and insurance, where manual processes or high-volume decisions have a direct cost in the accounts.
Where is Artificial Frontiers based?
We are based in London and New York, and work with clients in the United Kingdom, Europe and the United States.
Do we need to change our systems?
No. We work with the data and systems you already have, and results are delivered into your existing workflow.
Start with a diagnostic.
Share one report. Within seven days, we show you in money what AI would have delivered on your own past numbers. If it does not deliver, you do not pay.
Book a diagnostic →