Kolena ads

Your compliance testing budget wasn’t built for today’s product complexity. One consumer bank was spending $800k+ per year to manually review a limited sample of accounts. After deploying AI agents to handle the heavy lifting, their annual testing spend dropped to ~$400k—while coverage increased 100×. See how they re-architected their testing flow and where the savings came from.

Most consumer banks are spending more on compliance testing every year… while still only sampling a small fraction of accounts. This mid-size bank took a different path. With Kolena’s AI-driven testing, they: • Cut annual testing costs by 50% • Expanded coverage from 50 to 5,000 accounts per cycle • Freed testers to focus on real exceptions, not random samples Get the case study to see the operating model and how they made the shift.

Most consumer banks assume “more coverage” means “more people.” This institution did the opposite. By moving to AI-driven compliance testing, they: • Expanded from 50 to 5,000 accounts tested per cycle • Reduced manual testers from 10 down to 4 • Focused human review only on flagged exceptions, not random samples If you’re being asked to do more with less, this model is worth a look.

Most consumer banks are spending more on compliance testing every year… while still only sampling a small fraction of accounts. This mid-size bank took a different path. With Kolena’s AI-driven testing, they: • Cut annual testing costs by 50% • Expanded coverage from 50 to 5,000 accounts per cycle • Freed testers to focus on real exceptions, not random samples Get the case study to see the operating model and how they made the shift.

Community and regional banks are under the same regulatory pressure as the big nationals—just without the same headcount or budget. In this case study, a mid-size bank shows how they: • Cut annual testing costs by 50% • Expanded coverage from 50 to 5,000 accounts per cycle • Freed a small team to focus on real issues, not spreadsheet work Download the case study to see a model you can adapt even if your compliance team is only a few people.

When your compliance staff wears five hats, spending hours on each account review just isn’t sustainable. In this bank’s rollout, AI agents cut average analysis time from ~2 hours to under 10 minutes per account—turning what used to take weeks of manual review into hours. That means your team can stay ahead of exams and focus on the edge cases that really need human judgment.