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BritonOne Technology
Solutions · Financial Services

Explainable credit decisions in under eight minutes.

Application capture, decisioning, underwriting, and disbursement, engineered against FCA Consumer Duty and PRA SS1/23 model-risk from week one.

Solutions we provide

One lending platform, every applicant surface.

One decision engine, one audit trail: the app borrowers apply in, the portal they service from, and the underwriter console.

  • £45k

    Mobile lending journey

    Mobile lending journey

    A resumable, mobile-first application: biometric capture, dynamic validation, and mid-session save that cuts abandonment.

  • Borrower servicing portal

    Borrower servicing portal

    Statements, repayment schedules, payment-holiday requests, and arrears self-service, accessible for every customer.

  • Underwriter console

    Underwriter console

    Case management with full customer context, per-decision reason codes, and one-click FCA and PRA export.

Benefits of the platform

What changes once the platform ships.

Production lending outcomes, each figure sourced to a named client engagement.

The benefit that matters most

Explainable credit decisions, live inside the audit window.

Application capture, ML decisioning, underwriting, disbursement, and servicing, built, pen-tested, and model-risk-cleared in one 20-week programme.

under 8 minMedian quote-to-decision cycle
67%

Auto-approval on decisioned applications

- UK SME lender, up from 28%

under 8 min

Median quote-to-decision cycle

- UK SME lender, post-rebuild

+11 NPS

Lending-journey NPS uplift

- Tier-2 UK retail bank, rolling

What lenders measure 12 months on.

under 28%
Application abandonment rate
Re-cut to a resumable journey; was above 65%.
zero
Consumer Duty findings at FCA review
Reason codes mapped to harm categories.
quarterly
Model retrain with second-line sign-off
SS1/23 model cards the PRA accepts as evidence.
From rule-engine drag to audited velocity

The lending failures our engineering retires.

Six structural defects every origination programme inherits, and the shape we ship in their place.

BeforeLegacy
  • 14-day quote-to-fund
  • 65%+ abandonment
  • Rule-engine spaghetti
  • Annual model ceremony
  • Sub-30% auto-approval
  • Manual Duty evidence
BritonOne Technology Lending PlatformOne platform. One audit trail. One source of truth.
100% Live
  • Event-driven origination core

    An event stream over the core and decision services, so capture, decisioning, and disbursement leave the overnight batch.

    Solved
  • Five-screen lending journey

    Resumable application with biometric capture and dynamic validation lifts completion before a credit search ever runs.

    Solved
  • Unified disbursement ledger

    Faster Payments, SEPA, and card disbursement settle into one idempotent double-entry ledger, automatically reconciled.

    Solved
  • Continuous model pipeline

    Quarterly retrains behind continuous second-line monitoring replace the annual model ceremony, without the SS1/23 fear.

    Solved
  • Explainable ML decisioning

    Every application scores inline with per-feature attribution and reason codes: a defensible decline, not a rule label.

    Solved
  • Signed Consumer Duty evidence

    Immutable reason codes and fair-value evidence stream continuously to your CloudTrail, Sentinel, or Chronicle SIEM.

    Solved
Regulatory by designFCA · PRA · EBA aligned
Audit-readyEvidence from day one
Secure & resilientBy design
Runs in your cloudAWS · Azure · GCP
How we build

Our step-by-step way of building your lender.

A proven roadmap turning a regulated lending programme into bounded, audit-cleared stages.

  1. 1
    Week 1–4

    Map the regulator surface

    Audit the funnel and FCA Consumer Duty, SS1/23, and Consumer Credit Act articles in play, then lock a costed plan.

  2. 2
    Before any code

    Design the credit model

    Model specification, data flows, and a signed model card, cleared with second-line leads before decisioning ships.

  3. 3
    Every sprint

    Build in vertical slices

    Application, decisioning, underwriting, and disbursement progress in parallel pods behind feature flags, with CI gates from commit one.

  4. 4
    Before ramp

    Harden, clear & launch

    Pen-test, accessibility audit, and the FCA notification pack, then pilot to a control cohort, clear review, and scale.

Why BritonOne Technology

Why lenders build with us.

Regulated lending is the work we do most. Every reason below is one a reference client will confirm on a call.

  • Regulator-fluent architects

    The architect on your discovery call is the one in your FCA meeting. Consumer Duty and SS1/23 are design inputs, not gates.

  • We run inside your cloud

    Your AWS, Azure, or GCP account, your IAM, your KMS: no client data held, no shadow copies of credit files.

  • Model evidence produced in step

    Model cards, reason-code mappings, and the Consumer Duty pack ship each sprint, not a scramble before a review.

  • Bounded, costed scope

    A paid four-week diagnostic and a fixed-price build plan: no open-ended retainers, no scope that quietly expands.

  • One senior team, end to end

    Decisioning, underwriting, disbursement, servicing, and 24×7 SRE from one senior pod, no hand-off cliff.

  • Proven on credit-risk timelines

    We took a UK SME lender from a 9-day quote-to-fund to under 8 minutes, SS1/23 evidence cleared at first review.

Success stories

Programmes we have shipped

Explainable credit scoring for a digital lender
31%
Fintech

Explainable credit scoring for a digital lender

Lifted approval rates 31% at constant loss, every decision reason-coded for the FCA.

PythonLightGBMSHAPAWS SageMaker
Country · UK
CI/CD overhaul for a fintech
15x
Fintech

CI/CD overhaul for a fintech

Lifted release frequency 15x with automated gates and one-click rollback.

GitHub ActionsArgo RolloutsKubernetesTerraform
Country · UK
Lending and borrowing marketplace for a DeFi fintech
$1B+ in loans matched
Banking

Lending and borrowing marketplace for a DeFi fintech

Matched borrower demand to non-custodial money markets through a single application, routing more than a billion dollars in loans across lines of credit and term loans.

SolidityAave v3ChainlinkEthereum
Country · US
Grounded knowledge copilot for a retail bank contact centre
44%
Banking

Grounded knowledge copilot for a retail bank contact centre

Cut average handle time 44% across 2,600 agents, with answers grounded in approved policy only.

PythonAzure OpenAIAzure AI SearchKubernetes
Country · UK
Autonomous reconciliation for a payments processor
89%
Fintech

Autonomous reconciliation for a payments processor

Resolved 89% of reconciliation breaks without a human, every action logged for audit.

PythonTemporalLangGraphPostgresAWS
Country · DE
Adverse-media screening for a private bank
12x
Wealth Management

Adverse-media screening for a private bank

Screened 12x more names at a lower false-positive rate, each hit evidenced.

PythonTransformersElasticsearchAzure
Country · CH
Core-banking platform build for a challenger bank
9 months
Banking

Core-banking platform build for a challenger bank

Ledger, accounts, and payment rails delivered to an FCA launch milestone in 9 months.

GoPostgreSQLKafkaKubernetesAWS
Country · UK
API and integration layer for a payments group
120+
Fintech

API and integration layer for a payments group

Unified 120+ partner integrations behind one governed API gateway.

TypeScriptNode.jsKongOpenAPIAWS
Country · DE
Onboarding web app for a digital bank
78%
Banking

Onboarding web app for a digital bank

Straight-through KYC onboarding raised completion to 78%.

ReactTypeScriptNode.jsAWS
Country · UK
Cloud migration for an omnichannel retailer
0 outages
Retail

Cloud migration for an omnichannel retailer

Re-platformed e-commerce to the cloud, holding availability through a record peak-season trading day.

AWSTerraformEKSCloudFront
Country · UK
AML transaction-monitoring analytics for a bank
44%
Banking

AML transaction-monitoring analytics for a bank

Cut false-positive AML alerts 44% at a bank while catching more genuine risk.

SnowflakedbtPythonPower BI
Country · UK
Customer identity rebuild for a wealth platform
22%
Wealth Management

Customer identity rebuild for a wealth platform

Passwordless identity cut account-takeover 22% and sign-in friction at a wealth platform.

Auth0WebAuthnFIDO2Node.js
Country · CH
API testing for a digital banking app
10k+ assertions
Banking

API testing for a digital banking app

Delivered 10,000+ automated assertions across balance, transfer, and payment APIs, catching every schema and auth regression before release for a digital bank.

PostmanRESTNewmanJMeter
Country · UK
Checkout stress and spike testing for a merchant platform
3x
Retail

Checkout stress and spike testing for a merchant platform

Isolated the true checkout bottleneck and produced a validated capacity model showing three times the throughput headroom the platform believed it had.

GatlingJMeterGrafanaNew Relic
Country · US
Authentication and access-control testing for an identity platform
Auth hardened
Government & Public

Authentication and access-control testing for an identity platform

Tested login, SSO, and token flows end to end and hardened the identity layer against real abuse cases before rollout.

Burp SuiteOAuth2OIDCJWT
Country · CH
Verifiable-credential feasibility study for a workforce platform
60% narrower scope
Government & Public

Verifiable-credential feasibility study for a workforce platform

Scoped a focused credentialing pilot over a full rebuild, narrowing the programme 60% for a workforce management platform.

Feasibility studyChain selectionVerifiable CredentialsROI model
Country · UK
Stablecoin settlement strategy for a finance SaaS
3-chain shortlist
Fintech

Stablecoin settlement strategy for a finance SaaS

Delivered a reference architecture and a three-chain shortlist for embedding stablecoin settlement into a SaaS finance platform's cash-flow workflows.

Feasibility studyStablecoinsSolution architectureChain selection
Country · US
Real-estate tokenisation and tokenomics advisory
ERC-3643 blueprint
Wealth Management

Real-estate tokenisation and tokenomics advisory

Delivered a fractional real-estate tokenisation model with an ERC-3643 compliance blueprint for regulated investor onboarding.

TokenomicsRWA tokenisationERC-3643Chain selection
Country · AE
On-chain escrow and payout rails for a founder finance platform
0 critical findings
Fintech

On-chain escrow and payout rails for a founder finance platform

Programmable escrow and stablecoin payout contracts cleared external audit with zero critical or high findings for a founder finance platform.

SolidityOpenZeppelinAccount AbstractionBase
Country · UK

Who we are

About us

BritonOne Technology is a full-cycle engineering company that builds and operates production software for regulated estates. Since 2017, we have shipped programmes that clear audit on the first pass across banking, insurance, wealth, healthcare, and biotech. Our teams pair deep domain knowledge with disciplined engineering, treating compliance, security, and resilience as first-class deliverables. From architecture through to live operations, we stay accountable for the systems we build, measuring success by uptime, audit outcomes, and defensible business results.

60+Senior engineers across UK and EU

Why choose us

Engineer experience, average9+ yrs
Specialist replacement window48h
Code and IP ownership, day one100%
Surprise invoicesZero
Reference calls, not slideware

What lending teams say after go-live.

Every quote below comes from a programme we shipped, and a reference our prospects are welcome to call.

Quote-to-fund cut from days to minutes.

Our quote-to-fund cycle was nine days, auto-approval at 28%, underwriters drowning. BritonOne Technology shipped the new platform in twenty weeks. Quote-to-decision is now under 8 minutes and the PRA SS1/23 model-risk evidence cleared at first second-line review.

Director of LendingUK SME lender
Common questions

What heads of lending and CROs ask first.

Frequently asked questions

Yes, materially. Across our lending builds, ML decisioning achieves 60–75% auto-approval rate (vs 20–35% for tuned rule engines) with comparable or better default-rate outcomes. The ML decisions are citation-bound to feature attribution, supporting Consumer Duty review.