Finding AI opportunities in compliance, why spektr, why spektrQ

We put Andreas Jørck, Head of spektrQ on the spot. Four questions on why spektrQ exists and what it means for compliance teams carrying more manual work than they should be.

spektrQ is the team spektr built to answer a question most compliance leaders can't yet answer for themselves: where does AI actually move the needle in our workflows, and in what order should we tackle it. Most banks and fintechs have already bought the infrastructure. What they're missing is the map from that infrastructure to daily risk work.

The team works in three stages: they analyze the existing setup, map out where AI agents create measurable impact, and then help deploy those agents into production. It's already run at some of the most regulated institutions in Europe, cutting redundant UBO screening runs by 97% at one PayTech and dropping document review times to under 60 seconds at a European marketplace.

We sat down with Andreas, who leads the team, to ask why it exists and what he'd want a compliance leader to know before they call.

Q: Why spektrQ, why now?

"Because the tools exist, the need is obvious, and nobody was doing it properly inside a compliance platform. We decided to stop waiting for someone else to build it."

Q: What makes it different?

"We sit inside spektr. We know your stack before the first call. Most teams bringing in external help spend the first three weeks just getting up to speed. We skip that entirely."

Q: What does success look like for a customer?

"Fewer false positives. Analysts working on real risk instead of noise. And a business case they can actually put in front of their CFO."

Q: One thing you want compliance teams to know?

"You don't have to overhaul everything to see results. You just need to find the right place to start. That's what we do."

spektrQ doesn't ask a compliance team to rip out what's working and start over. It asks where the noise is worst, whether that's false positives clogging sanctions screening, a growing ODD backlog, or manual reviews slowing down onboarding, and builds a roadmap from there.

If you're a compliance leader who has the AI infrastructure but not yet the results to show for it, that's the gap spektrQ exists to close.

Request an analysis and find out where the right place to start is for your team.

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