Industry · Finance & banking

AI for banking and financial services: every transaction understood

We help banks, lenders, insurers and fintechs automate operations, manage risk and fight fraud — with explainable models, private LLMs and secure infrastructure built for regulated environments.

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01 The challenge

Regulation, fraud and cost — all rising

Financial institutions face growing compliance obligations, increasingly sophisticated fraud and pressure to cut operating costs, while customers expect instant digital service.

AI can help on every front, but only when models are explainable, data is protected and every automated decision can be justified to a regulator.

02 Use cases

Use cases in finance

  • 01

    KYC and AML

    Document verification, screening and transaction monitoring with explainable alerts.

  • 02

    Credit and risk scoring

    Interpretable models on traditional and alternative data with clear reason codes.

  • 03

    Fraud detection

    Real-time scoring of payments, cards and applications.

  • 04

    Back-office agents

    Reconciliation, dispute handling, onboarding and reporting automated end to end.

  • 05

    Private LLM copilots

    Assistants for policy, product and regulatory questions, hosted privately.

  • 06

    Tokenisation and digital assets

    Tokenised assets, settlement and custody built on secure blockchain infrastructure.

03 How we deliver

From first conversation to systems in production

  1. 01

    Discover

    Discovery with risk, compliance, operations and technology teams, including model-risk requirements.

  2. 02

    Prototype

    Back-tested models and pilots with full documentation.

  3. 03

    Deploy

    Deployment in private cloud or on-premise with monitoring, audit trails and access controls.

  4. 04

    Evolve

    Ongoing model validation, retraining and reporting.

Every engagement can run in the cloud, on-premise or fully air-gapped. Your data stays under your control, and humans stay in command of every significant decision.

04 Outcomes

Outcomes

  • Fewer false positives in compliance and fraud operations
  • Faster onboarding and servicing
  • Explainable decisions that stand up to review
  • Lower operating cost through automation

→ Two ways to work with us

Enhance what you have — or let us build and run it

Path A

Enhance what you have

Add AI and automation to the systems, products and operations you already run — no rip-and-replace, and your team stays in control.

Start with an enhancement

Path B

Build & manage for you

We design, build and launch it, then host, monitor, secure and improve it — or hand it over to your team.

Have us build it

05 Related

Services behind this work

06 FAQ

Finance & Banking: frequently asked questions

Are your models explainable enough for regulators?

We design for explainability from the start, with reason codes, documentation and validation evidence.

Can data stay inside our environment?

Yes. Models and LLMs can run on-premise or in your private cloud.

Do you work with fintechs as well as banks?

Yes — banks, credit unions, lenders, insurers, payment companies and fintech start-ups.

Do you build tokenisation platforms?

Yes, through our blockchain development team.

Can AI reduce false positives in AML monitoring?

Yes. Models that combine transaction patterns, customer context and network signals can prioritise alerts so investigators focus on the cases that matter, with every score explained.

Reduce risk and cost together

Tell us what you want AI to take over. A senior engineer will get back to you — under NDA if you need it.

Start a project