AI · AI for financial services

Turn every transaction into insight, for your customers and your teams.

Cowally's AI cleans and categorizes every transaction, shows each customer their financial health, spots the moments that matter and the right next product, and gives each back-office team the insights it needs to act. It explains itself, and people decide what matters.

Why it matters

01

Raw data tells customers nothing.

"POS 4432" on a statement doesn't help anyone manage their money.

02

Customers stay where their money makes sense.

They open the app that helps them understand and plan, and leave the one that only shows a balance.

03

Teams find out too late.

The signals are in the data long before they show up in a monthly report.

What it does

Transaction intelligence

Every transaction is cleaned, categorized and enriched with the merchant and the category, building a complete picture of each customer's financial health.

01 / 05
backoffice.yourbrand.com/ai/transactions

Transactions · Ana GómezEnriched by AI

As it arrivesMerchantCategoryAmount
POS 4432 MKT NORTEMarket NorthGroceries−$84,300
TRX 7781 GASOL ESTEEast StationFuel−$120,000
ACH 0021 PAYROLL ACMEAcme Inc.Salary+$4,500,000
DD 3310 RENT JUNSouth PropertiesHousing−$1,200,000
POS 9920 FARMA VIDAVida PharmacyHealth−$46,500
WEB 5521 STREAMFLIXStreamflixSubscriptions−$38,900
Income this month$4.5MSpending$2.9MSaved$640KMonthly obligations$1.4M
Your brandapp · Ana Gómez

Spending by categoryJune

Groceries32%Housing28%Transport14%Health8%Other18%

Budget · Groceries

$412,000of $600,000 this month

Savings goal · Trip

$2,560,000of $4,000,000

Upcoming payments

RentJun 30 · $1,200,000PhoneJul 2 · $65,000StreamflixJul 5 · $38,900
Your rent is due in 3 days.

Cash flow · North BakeryForecast by AI

W1
W2
W3
W4
W5
W6
W7
W8
IncomeExpensesForecast
Heads-upCash may run short in week 7

Expected expenses are higher than expected income that week. Move a payment, or open a credit line in time.

Income this month$18.4MExpenses this month$15.9M

Moments spotted this weekAI

Salary increase

Payroll deposits went up 18% for two months in a row.

Next best offerSavings account with yieldShown in the app
A big purchase coming up

Monthly transfers into a "Car" savings goal, now at 70%.

Next best offerVehicle loan, pre-approvedSent to an advisor
A new business

First sales coming in through QR payments.

Next best offerBusiness account and QR paymentsShown in the app

Insights by teamAI

OnboardingRequires review32% of applicants drop off at proof of income

Suggested: accept bank statements as proof of income.

ReviewDismiss
Collections12 loans show early signs of late payment

Based on transactions and payment history.

See them
Compliance3 unusual movements to review

Transfers that break the customer's usual pattern.

Open
RiskRequires reviewRaising the score cutoff to 640 would reduce loans 60+ days late by 0.8 points

Needs approval from Risk.

ReviewDismiss

How it works

backoffice.yourbrand.com/ai/transactions/incoming
Step 1 of 6Transactions arriveFrom the Cowally core, or from your own systems through the API.

AI that behaves like a careful colleague

It shows why.

Every suggestion says what it found, why it matters and which data it used.

People decide what matters.

AI recommends; sensitive decisions are approved by your team.

It sees the whole picture.

It works with the data of every part of the platform, not one team's silo.

It leaves a trace.

Suggestions, and the decisions taken on them, are recorded.

It's on only where you want it.

Each AI service is switched on per client and billed by use.

Every suggestion shows its work

1

What it found

Raising the score cutoff to 640 would reduce loans 60+ days late by 0.8 points.

2

What it's based on

Customer behaviour and loan book data.

3

What it would change

The consumer-loan rule, and the workflows that use it.

4

What you decide

Review or dismiss. If you go ahead, the change still needs approval from Risk.

5

What's recorded

The suggestion, the decision and who approved it, logged for audit.

  1. 1

    What it found

    Raising the score cutoff to 640 would reduce loans 60+ days late by 0.8 points.

  2. 2

    What it's based on

    Customer behaviour and loan book data.

  3. 3

    What it would change

    The consumer-loan rule, and the workflows that use it.

  4. 4

    What you decide

    Review or dismiss. If you go ahead, the change still needs approval from Risk.

  5. 5

    What's recorded

    The suggestion, the decision and who approved it, logged for audit.

Use it with Cowally, or on its own.

API MCP

Questions about AI for financial services

Yes, inside your app and website, with your brand.

Yes. Your systems send transactions through the API.

No. It recommends and explains; your team decides what matters.

No. Each one is switched on per client and billed by use.

See your customers' data turned into insight

In one session we'll show your transactions categorized, a customer's financial health and the insights your teams would get.

Which describes you?

We reply within one business day.