5
min read

Are low-risk KYB onboarding cases clogging your pipeline?

Published on
2025-08-13 11:36
Updated on
2025-09-16 10:58
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The hidden cost of screening everything the same way

Many teams still review every case top to bottom, even those that pose no real risk. As onboarding volumes grow, low, medium, and high-risk customers all end up in the same queue.

It means more time spent reviewing low-risk customers instead of surfacing those that need urgent attention.

Clean cases slow everything down.
High-risk alerts get buried.
And analysts get stuck on sorting instead of solving.

Start with risk, not randomness

Strise helps compliance teams automatically prioritize onboarding queues using real risk signals, not ticket order or manual guesswork.

This means you can:

  • Deliver your riskiest cases for review first
  • Delegate low-risk cases automatically, based on your rules
  • Flag complex or unclear cases for immediate attention

Every case still gets screened, but now they’re handled in the right order.

The right cases, in the right order

An analogy helps: it’s like airport security. Instead of all mixed cases in a random line, high-risk entities are moved to the top, already sorted by your logic.

This isn’t just queue sorting, it’s automated prioritization for your entire workflow.

Because it’s fully customizable, you stay in control:

  • Set risk thresholds
  • Build logic around your team’s expertise
  • Route the right cases to the right people

Real ROI, not just time saved

You can’t scale your team for every onboarding surge, but you can make sure the time they have is focused where it counts.

Some Strise customers automate KYB review of millions of entities annually, freeing teams to spend time where it has the most impact.

For regulated businesses, automating onboarding of low-risk customers means:

  • Lower operating costs
  • Faster response to real risk
  • A sharper customer experience in a sea of sameness
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Who are the top vendors in 2025?

Leading providers include Sayari, Kyckr, Refinitiv, Strise, Lucinity, Napier, Salv, and Sumsub.
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What is the difference between KYC and KYB?

KYC verifies individuals, while KYB verifies companies, their ownership, and legal status.
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What is perpetual KYC/KYB?

It replaces periodic reviews with event-driven monitoring that updates risk profiles whenever new data emerges.
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What is a risk-based approach?

It tailors checks to customer risk, applying lighter verification for low-risk and deeper reviews for high-risk.
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What are the biggest challenges?

Poor data quality, fragmented integrations, inconsistent standards, and friction between business and compliance teams.
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The hidden cost of screening everything the same way

Many teams still review every case top to bottom, even those that pose no real risk. As onboarding volumes grow, low, medium, and high-risk customers all end up in the same queue.

It means more time spent reviewing low-risk customers instead of surfacing those that need urgent attention.

Clean cases slow everything down.
High-risk alerts get buried.
And analysts get stuck on sorting instead of solving.

Start with risk, not randomness

Strise helps compliance teams automatically prioritize onboarding queues using real risk signals, not ticket order or manual guesswork.

This means you can:

Every case still gets screened, but now they’re handled in the right order.

The right cases, in the right order

An analogy helps: it’s like airport security. Instead of all mixed cases in a random line, high-risk entities are moved to the top, already sorted by your logic.

This isn’t just queue sorting, it’s automated prioritization for your entire workflow.

Because it’s fully customizable, you stay in control:

Real ROI, not just time saved

You can’t scale your team for every onboarding surge, but you can make sure the time they have is focused where it counts.

Some Strise customers automate KYB review of millions of entities annually, freeing teams to spend time where it has the most impact.

For regulated businesses, automating onboarding of low-risk customers means: