AI for financial services
AI that works inside your operation, with people in charge.
One layer of AI runs across your customer apps, your back office and your core, with the full picture of every customer and loan. It answers customers, supports credit decisions, prioritizes collections and flags unusual operations. It always shows why, and your team approves what matters. Turn it on only where it pays off.
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.
Where it helps
- Answers and help in the app and on WhatsApp, day and night, handing over to a person when needed.
- Alerts before a payment is due and on unusual activity.
- Product suggestions based on how each customer uses their money.
- Savings goals suggested from income and spending.
- Spending sorted into categories automatically.
- Help during sign-up on the website.
- Credit scoring support.
- Pre-approved offers based on how customers behave.
- A risk assessment of each application.
- Suggested adjustments to rules and scorecards based on how the loan book is behaving.
- Collection lists ranked by likelihood of payment.
- Early warning when the loan book starts to deteriorate.
- Automatic reconciliation that flags what doesn't match.
- Alerts on movements outside the expected pattern.
- Each transaction routed through the best available payment network.
- Monitoring that spots problems before customers notice.
- Unusual operations flagged, with suggestions on which may need a suspicious-activity report.
- Document and biometric checks at sign-up.
- Fraud scoring on every sign-up, and suspicious transactions detected in real time.
Every suggestion shows its work
What it found
Raising the score cutoff to 640 would reduce loans 60+ days late by 0.8 points.
What it's based on
Customer behaviour and loan book data.
What it would change
The consumer-loan rule, and the workflows that use it.
What you decide
Review or dismiss. If you go ahead, the change still needs approval from Risk.
What's recorded
The suggestion, the decision and who approved it, logged for audit.
- 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.
Where we don't use AI
Not everything needs AI. Choosing which parts of the platform to turn on, or adding a new provider, are architecture decisions made by people. When a feature doesn't use AI, we say so, instead of inventing an angle.
Questions about AI
No. It recommends and explains, and sensitive decisions are approved by your team. Routine tasks, like matching payments during reconciliation, run automatically, and anything that doesn't match goes to a person.
No. Each AI service is switched on per client, only where you want it.
AI services are billed by use.
The data in your Cowally platform: customers, products, the loan book, payments and accounting.
Yes. Every suggestion shows what it found and what it's based on.
It hands the conversation to a person on your team.
See AI at work on a product like yours
In one session we'll show where AI would help your customers and teams most, and how your people stay in charge of every decision that matters.