01 / ADVISORYAVAILABLE NOW
Credit process and control review
Map the application-to-decision journey, evidence points, manual review and control ownership. Deliver a prioritised gap list and improvement plan.
View engagement ↗
CAPABILITIES / RISK WORKFLOWS
From source data
From source data
to a reviewable risk record.
We help lenders define the data, rules, analysis and control points behind a credit decision. Technology is scoped around the existing process, not presented as a replacement for it.
OPERATING MODEL
Evidence first.
Evidence first.
Controls before automation.
01Prepare
02Check
03Review
THE WORKFLOWOne control pattern.
One control pattern.
Several risk applications.
The input may be a document, spreadsheet, API record or system export. The output is a structured record with evidence, exceptions and a clear human action point.
01
Source intake
Receive approved PDF, scan, image, Excel, CSV, JSON, XML, API or LOS / LMS / CRM records under a defined source policy.
02
Data preparation
Extract fields, preserve source locations and make missing, ambiguous or conflicting values explicit.
03
Rules and analysis
Run deterministic calculations and approved methods. AI can assist with interpretation, comparison and candidate generation within defined limits.
04
Review and return
Return the result, source trail, limitations and required action to the lender’s workflow. The authorised person remains accountable.
CAPABILITY AREASStart with a defined question.
Start with a defined question.
Extend only where it earns its place.
The public demonstrations show synthetic workflows. Customer work is scoped by the lender’s products, data maturity, decision rights and operating controls.
02 / DATASCOPED DELIVERY
Data quality and Hong Kong CDS readiness
Define source inventories, field mapping, completeness rules, conflict handling and review ownership before a reporting workflow is connected.
View workflow ↗03 / DECISIONINGSCOPED DELIVERY
Rules, decision and review workflow
Translate a defined policy into versioned fields, rules, referral paths, test cases and human approval points. This is project-scoped, not a claim of an off-the-shelf platform.
Discuss the scope ↗04 / ANALYTICSSCOPED DELIVERY
Features, models and portfolio monitoring
Define measurable features, scorecard or model requirements, monitoring metrics, exception ownership and a validation plan around the lender’s data.
View services ↗WHERE AI FITSAI assists the work.
AI assists the work.
It does not publish the decision.
Traditional rules execute known logic. AI adds value when the input is unstructured or the question needs investigation: it can identify fields, explain conflicts, surface candidate features, compare cohorts and prepare a testable strategy proposal. Calculations, approvals and policy publication remain governed by people and systems.
CUSTOMER INTERFACE
Work alongside the lender’s systems.
The starting point can be a controlled file exchange or API contract. A customer deployment would define the identity, tenant, storage, audit, retention and rollback requirements before live data is used.
INPUTFiles, records or APIs
PDF, scans, images, spreadsheets, structured records and approved system exports.
PROCESSFields, rules and analysis
Structured fields, source locators, deterministic checks, approved methods and explicit exceptions.
OUTPUTRecord, status and action
A reviewable result returned to the lender’s workflow, with limitations and the next human action.
NEXT STEPBring one operating question.
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