Clearing the Backlog: How AI Is Giving Compliance Teams Their Time Back
Every compliance team knows the backlog. Every application sitting in it represents a customer waiting to be onboarded and potential revenue waiting to be realised.
For financial institutions, the question is no longer simply whether AI can support compliance. It is where AI can create meaningful efficiencies without compromising the quality of decision-making or introducing additional risk.
At the 6th Financial Innovation Forum – Payments & RegTech in London, Zinah Abdaki, CMO at QUBE Events, interviewed with Vladimirs Kovalovs, Co-Founder & CTO at Recomply, to discuss the practical role AI can play in compliance and how institutions can use it to give analysts more time to focus on the decisions that matter.
▶ Watch the full interview with Vladimirs Kovalovs:
Where AI Can Add the Most Value
For Vladimirs, one of the clearest opportunities for AI in compliance is removing the repetitive, manual work that consumes a significant part of an analyst's day.
This can include reviewing a prospective customer's website for prohibited products, crypto Payments or missing policies; searching through hundreds of documents for a particular clause; and gathering information from multiple disconnected systems.
These are necessary tasks, but they can take valuable time away from work that requires human judgement.
"AI can really help solve these problems fairly quickly. This way, an analyst can focus on the things that really matter, and on making difficult decisions." - Vladimirs Kovalovs, Co-Founder and CTO at Recomply
The objective is not simply to introduce more technology. It is to identify where AI can fit into the processes institutions already rely on.
"The fastest way to value that we see right now is to have these AI systems plug into your existing processes and your existing tools." - Vladimirs Kovalovs, Co-Founder and CTO at Recomply
AI Does Not Have to Mean Rebuilding Everything
For financial institutions concerned about the complexity of large-scale transformation, this is an important distinction.
AI adoption does not necessarily require replacing established compliance systems or redesigning entire workflows. Much of the opportunity lies in automating the manual work that happens between existing systems reading documents, gathering information and bringing relevant data together for analysts.
As Vladimirs explains:
"Clients are able to maintain their existing systems and their existing processes while automating all of the grunt work that compliance analysts currently do. In our experience, the automation can be pretty significant." - Vladimirs Kovalovs, Co-Founder and CTO at Recomply
This approach allows institutions to introduce automation into existing operations while preserving the systems and processes their teams already understand.
Moving Faster Without Cutting Corners
Whenever automation enters compliance, an obvious concern follows: does greater speed come at the expense of better decisions?
Vladimirs argues that the opposite can happen.
Compliance analysts often work under significant pressure to clear backlogs while managing increasingly complex cases. If AI can remove repetitive administrative work, analysts have more capacity to investigate, assess risk and apply their judgement where it matters most.
"Instead of doing this manual, repetitive labour, analysts can focus their time on the difficult decisions, therefore improving the outcomes of the company."- Vladimirs Kovalovs, Co-Founder and CTO at Recomply
This is where compliance efficiency can become a wider business advantage.
Faster onboarding is valuable, but speed alone is not the objective. The bigger opportunity is enabling compliance teams to process cases more efficiently while giving skilled analysts more time for complex decisions.
For financial institutions, that can mean shorter backlogs, a smoother customer onboarding experience and fewer unnecessary delays between an application and a commercial relationship.
Giving Compliance Teams Their Time Back
The wider conversation around AI in financial services often focuses on what technology could eventually replace.
Vladimirs' perspective offers a more practical question: what work can AI take away so that compliance professionals can spend more time on the work that needs them?
That distinction matters.
The value of AI in compliance may not come from removing the analyst from the process. It may come from removing the repetitive work surrounding the analyst helping teams move faster while keeping human judgement at the centre of important decisions.
Learn More from Recomply
It was a pleasure to speak with Vladimirs and hear his perspective on the practical application of AI within compliance.
To learn more about Recomply and its work in compliance automation, or to continue the conversation with Vladimirs and his team, visit:
Recomply: www.recomply.ai/
Continuing the Conversation at QUBE Events
At QUBE Events, the Financial Innovation Forum – Payments & RegTech brings together the people shaping the future of Payments, RegTech, compliance and financial services.
From conversations on AI and automation to regulation, financial crime, Payment infrastructure and emerging technologies, our forums are designed to move important industry discussions from the stage into meaningful conversations and business relationships.
Interested in speaking or exploring sponsorship opportunities at an upcoming QUBE Events forum?
Get in touch: info@qubevents.com
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