AI for fintech teams that have to explain every decision.
Lenders, payment companies and wealth platforms use us to automate the document-heavy and judgement-heavy work around their core systems, with audit trails and human sign-off built in from the start.
Where AI earns its place in fintech.
KYC and KYB document extraction
Read identity documents, company filings and proof-of-address packs, extract the fields your onboarding needs and flag anything that does not reconcile.
Custom AI →Transaction-monitoring triage
Summarise alerts, pull the supporting context and draft the analyst narrative, so reviewers start from a prepared case instead of a blank screen.
Custom AI →Customer-support agents with secure hand-off
Voice and chat agents that resolve defined queries and route anything involving money movement or disputes to a person with the full conversation attached.
Voice →Policy and regulation retrieval
Assistants grounded in your internal policies and the regulations you operate under, with citations compliance staff can verify.
Custom AI →Evaluation of credit and fraud models
Independent evaluation of LLM features in credit, fraud or collections workflows, sliced by customer group, with a readout your model-risk function can use.
Evaluation →Fine-tuning for domain language
Models adapted to product codes, financial shorthand and your tone of voice, trained in your environment.
Training →Designed for the review, not retrofitted for it.
GDPR and UK GDPR
A DPA on every engagement, data kept in your environment, and processing limited to the agreed purpose.
PCI-DSS scope
Cardholder data stays out of model inputs and training sets. We design the flows so your PCI scope does not grow.
Model risk management
Documented test design, results and limitations, written for internal model-risk review rather than retrofitted afterwards.
Explainability and audit trails
Every automated step records what the model saw, what it produced and who approved it.
EU AI Act awareness
Credit scoring is a listed high-risk use. We build the evaluation evidence those obligations ask for and keep humans in the decision.
What we will and won’t do in fintech.
Common questions from fintech teams.
Can the system make lending or fraud decisions?
No. It prepares, summarises and recommends. A person with the authority to decide makes the decision, and the system records what it contributed. This is both the safer design and what regulators expect for high-risk uses.
Where does our data go?
Nowhere. Systems run in your cloud account or on your infrastructure. Where a third-party model API is used, we agree the provider, the region and the data-retention terms with you first.
Do you work with regulated firms outside the EU and UK?
Yes. Our clients are in the UK, EU and North America. The engineering principles are the same; the documentation is adapted to the regime you answer to.
What does a first engagement look like?
Usually a discovery sprint on one workflow, or an evaluation audit of an AI feature you already have. Both are fixed-price and produce a written readout, whether or not we work together afterwards.
Tell us what you're trying to ship.
Thirty minutes with the founder. We'll tell you honestly whether we're the right team, and what it would cost.