Key takeaways
- H2O Driverless AI predicts which account or card an applicant is most likely to take up, so the first offer fits.
- Real-time credit models score the applicant's background during the application, not days later.
- Behavior models predict where an applicant is likely to drop off, so your team can fix the step or prompt the next action.
- Every model carries reason codes your compliance and KYC teams can review.
Open more of the accounts you already attract
Your digital onboarding is the first real conversation with a new customer. If the offer is generic, the form is long or the credit check takes days, good applicants leave before they finish.
You also have to decline the right people. Identity checks, KYC and anti-money laundering rules apply to every application, and a model that rejects good customers costs you the revenue you spent to acquire them.
How account opening and card issuing works
Your team builds the models in H2O Driverless AI and runs them alongside the onboarding journey and decision systems you already run.