Industry
Your credit committee reviews last quarter's losses on a clean dashboard. Each of those losses was a decision someone made in the moment, across three screens, without the picture the dashboard now shows.
Financial services runs on decisions about people and money — who to lend to, which claim to fast-track, which transaction to investigate. The data to make those decisions well usually exists. It is rarely in front of the person at the moment they decide.
Data domains
Customers
Identity, relationships, segments and the KYC record that ties a person or business to everything they hold.
CRM · core banking · customer onboarding · identity resolution
Accounts and policies
Deposit and lending accounts and insurance policies — balances, cover, status and terms.
core banking · policy administration · loan servicing
Transactions and payments
Payments, transfers, card activity and premium movements — the day-to-day behaviour behind every account.
payment systems · card processors · core banking · billing
Products
The catalogue of accounts, loans, cards and cover types, with their eligibility and pricing rules.
product master · pricing systems · loan origination
Risk and exposure
Credit risk, limits, exposure, risk ratings and the fraud signals that qualify every decision.
risk engines · credit bureau · fraud monitoring · rating models
Claims
First notification, reserves, assessments and settlements across the life of an insurance claim.
claims management · loss adjusting · document capture
Compliance and financial crime
KYC, AML, sanctions, suitability and the audit trail every regulated decision has to leave behind.
AML and sanctions screening · case management · regulatory reporting
Operations and servicing
Case queues, servicing tasks, SLAs and the back-office work that keeps commitments to customers.
case management · workflow systems · contact centre
Finance and margin
Profit and loss, cost of funds, capital, provisions and the margin behind each product and relationship.
general ledger · cost allocation · capital and provisioning
Channels and interactions
Branch, app, web, call centre and broker contacts — how and where the customer actually reaches you.
digital banking · contact centre · broker portals · branch systems
Source systems
What the analytics estate usually looks like
Typical data flow
Customer decisioning
For customer-facing decisions. Everything known about a customer is assembled into one view, enriched with judgement, and turned into a next action a professional can own.
Flagship experience
One workspace where a banker or risk officer sees the whole customer, the risk indicators and the supporting documents — and makes a decision that is recorded, evidenced and, where required, approved.
Application opportunities
One workspace where a banker or risk officer sees the whole customer, the risk indicators and the supporting documents — and makes a decision that is recorded, evidenced and, where required, approved.
Decision
For this customer and this request, what does the full relationship and risk picture support — and does this decision need a second signature?
Give investigators the transaction network, the customer history and the prior cases in one place, so an alert becomes a defensible decision instead of a week of screen-scraping.
Decision
Is this alert suspicious enough to escalate, and what is the evidence either way?
When an application falls outside policy, put the borrower's full position, the reason for the exception and comparable past decisions in front of the credit officer.
Decision
Does this exception to credit policy make sense given everything we know about this borrower?
Route each new claim to the right path — fast-track, standard handling or investigation — with the policy, the history and the fraud signals already assembled.
Decision
How should this claim be handled, and does anything about it need closer scrutiny?
Bring the application, the risk data and the pricing guidance together so an underwriter can price and accept — or decline — with the full picture and a clear record.
Decision
Should we accept this risk, on what terms, and at what price?
One view of the whole relationship — accounts, policies, interactions and open items — so the person serving the customer stops asking them to repeat themselves.
Decision
What does this customer hold, what is outstanding, and what is the right next step for them?
Impact, readiness and speed are editorial judgement offered to help prioritise a conversation. They are not research statistics and they are not market data.
Illustrative demonstration. Meridian Financial Group, its customers, accounts, policies, claims and all data shown are fictional. The generated assessment is deterministic and requires no AI service; the decision rests with a named person and is routed for approval.