Customers don't tell you they're leaving.
First they stop using you. Then they move their money.
In banking, churn is silent: balances drop, automatic payments stop, the app gets opened less, and one day the money is gone. Orakia anticipates which customers are at risk, while you can still keep them, using the data you already have.
You measure NPS. But churn shows up in behavior, not in the survey.
The customer who is about to leave won't answer a survey to tell you. They tell you earlier: they move their direct deposit elsewhere, cancel a product, stop logging into the app. By the time you see it in the balance, they already have an account with a competitor.
- Churn starts long before the money moves. Falling usage and balances are the signal, and they show up weeks before the account closes.
- A poorly resolved complaint predicts departure. Better than any quarterly NPS, and almost nobody links it to churn risk.
- The churn report arrives too late. It doesn't tell you which high-value customers are about to leave this week.
That risk is already in your data: product holdings, transactions, app, contact center, complaints. What's missing is reading it in time.
Centralize. Understand. Get ahead.
Orakia doesn't run your contact center or manage products. It connects your customer data and tells you who is about to leave, while you can still act.
Connect all your sources
Product holdings, balances and transactions, app and online banking, contact center, complaints, surveys. All in a single record per customer. It integrates with your systems, without replacing what you already use.
Read behavior as a churn signal
It doesn't tell you "NPS dropped". It tells you which customers are reducing their relationship with you, why (an incident, a fee, worse service) and how likely they are to move their money. Why they leave, not just that they leave.
Prioritize retention by customer value
Alerts to the relationship manager or the retention team, prioritized by customer value and balance at risk, not by complaint volume. With context and a recommended action for each case.
First results in 2-4 weeks. If you want to see where you stand today, book a 30-minute assessment.
We start with whatever you have.
We don't need to integrate everything to get started. You export what you have, we process it and give you the churn risk map. If it works, we connect the systems.
We integrate with it. We add the churn prediction layer your suite doesn't cover. In 2-3 weeks you'll see whether it adds value.
We work within GDPR and the AI Act. Orakia is SaaS hosted in the EU and connects to your systems through APIs.
Put a number on the valuable customers you lost.
Multiply the high-value customers who left last year by their average relationship value. That number is the cost of not getting ahead. Orakia helps you see it before they move their money.
Frequently asked questions
How does Orakia detect a customer who is about to leave the bank?
Orakia combines signals you already have: falling balances and fewer automatic payments, less app usage, a poorly resolved complaint, repeat calls, products the customer cancels. With that it scores each customer's churn risk, before they move their money to another bank. It doesn't depend on the customer answering a survey.
What data do I need to get started?
The data you already have: product holdings, transactions and balances, contact center, app and online banking usage, complaints, surveys. We start with what's there and show value before integrating everything.
Does it integrate with Medallia or Qualtrics?
Yes. If you already have a customer experience suite, Orakia plugs in as a prediction layer. It doesn't replace your investment: it adds the churn anticipation those platforms don't offer natively.
Does it comply with industry regulation?
We work within the GDPR and AI Act framework. Orakia is SaaS hosted in the European Union: your customer data is stored and processed in the EU, and we connect to your systems through APIs.