In production 10 platforms and 4 AI applications for banks, insurers, payment firms, pharmaceutical manufacturers and process industrials. Talk to a principal
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INDUSTRY 01 · FINTECH

Fintech, with AI that earns its place.

Banking, insurance, asset management, capital markets and payments. Where AI must coexist with model risk management, audit trail requirements, and the tolerances of CRO and CCO functions.

PLATFORMS ↓ AI APPLICATIONS ↓ TYPICAL ENGAGEMENT ↓

10

production platforms across payments, banking operations, audit and data

4

platform groups, each integrated with the core banking system you run

90days

to a first production cut, not a recommendation deck

48hours

to a reply from a named principal

PLATFORMS

10 platforms that run the bank.

Payments, account opening, self-service, lending, collateral, audit, reconciliation, bureau reporting and data. Each integrates with the core banking system you already run.

Payments2

Instant Payment SystemAccount-to-account transfers that settle in seconds.View solution→Merchant QR Code PaymentStatic and dynamic QR, soundbox alerts, request-to-pay.View solution→

Banking operations4

Account Creation ProcessAccount opening in branch or online, without re-keying.View solution→Self-Service TerminalsTouchscreen banking with OTP validation. Shorter queues.View solution→Loan Origination SystemRetail and corporate loans, from application to approval.View solution→Collateral Management SystemValuation, safekeeping, insurance and inspections.View solution→

Audit & compliance3

Audit Information SystemPlan, run and evidence audits in one secure place.View solution→Reconciliation Report SystemRule-based matching with people in the loop for exceptions.View solution→MCIB-CPR Web InterfaceSecure credit-profile submissions with a full audit trail.View solution→

Data1

Centralised Data RepositoryTake reporting load off core systems. Restore fast.View solution→

AI ON TOP

The AI we add to them.

THE REGULATORY AND OPERATIONAL REALITY

Your AI deployment lives inside a model risk management framework, on systems older than the cloud, with change windows measured in quarterly releases. The work that actually lands here is data engineering, governance, and integration with risk and compliance functions — not the headline projects on every consultancy's brochure.

APPLICATIONS WE PURSUE

  • Compliance co-pilot for the compliance teamDrafts compliance returns and audit responses with citations back to source.
  • Loan-narrative co-pilot for credit officersDrafts credit memos from financial spreadsheets and borrower documents; the officer reviews, edits, and signs.
  • Investor-advisory co-pilot for relationship managersDrafts portfolio recommendations and capital-gains explainers.
  • Anomaly and risk detection across lending and investmentBorrower risk scoring, transaction anomalies, fraud signals — trained on your data, deployed on your infrastructure.
  • Model-risk overlay for AI deploymentsPerformance monitoring, drift detection, challenger-model evaluation, audit-ready documentation.

TYPICAL ENGAGEMENT

  1. 1. DISCOVERY 2–4 weeks
  2. 2. BUILD 12–16 weeks
  3. 3. SUPPORT 4 weeks
  4. 4. OPTIONAL RETAINER multi-year

A first engagement with a new client is usually scoped to a single workflow within a single business unit. Discovery maps the workflow, agrees the architecture, and surfaces anything that should change the scope. Build follows in agile two-week iterations against the discovery output. Support is included from production deployment. Multi-year retainers follow when the work justifies them — and we have walked away from extensions where it did not.

Discuss a fintech engagement→

ENDBEGIN

Start with fifteen minutes.

No pitch. No proposal. The first conversation is a chance for both sides to understand whether your problem is the kind we are well-suited to.

Start a conversation→

A named principal will reply within 48 hours.