SILENT EIGHT × K2 INTEGRITY
FIRESIDE CHAT
From Proof of Concept to Industry-Leading Results:
What It Really Takes to Scale AI in Financial Services
Whether you are evaluating AI for the first time or trying to scale what you have already deployed, this session offers the ground-level perspective that analyst reports cannot give you.
Speaker
Markus Schulz
Chief Technology Officer
K2 Integrity
Speaker
Martin Markiewicz
Co-founder and Chief Executive Officer
Silent Eight
Host
Vlada Grebenykova
Chief Marketing Officer
Silent Eight
THE STARTING POINT
What challenges drove the decision to act
How a high false-positive volume at manageable scale becomes an existential problem at enterprise scale — and how to recognise that inflection point before you hit it.
EVALUATION CRITERIA
How to choose a technology partner — not a technology
Track record, speed of implementation, AI-native architecture, and willingness to work within constrained timelines. What a six-week deployment actually required.
ARCHITECTURE IN PRACTICE
Screening + adjudication: how the two layers work together
Cast a wide net at matching, then let AI resolve the noise — reducing human workload from 100% to approximately 30% of matched alerts while maintaining full effectiveness.
BUILDING TRUST
From QA oversight to autonomous closure
Why sandboxes cannot build institutional confidence — and the specific mechanism that allowed the team to progressively extend autonomy to the machine over weeks of production data.
REGULATORY REALITY
Conversations with examiners and internal audit
How the regulatory posture on AI has shifted since 2024, what explainability means in examination, and why scale of error — not type of error — is now the primary scrutiny point.
STRATEGIC FRAMING
Efficiency, effectiveness, and growth — where to start
A practical framework for senior compliance and technology leaders: where AI delivers first — operational capacity, control coverage, or business enablement.
A scoping conversation
We walk through the efficiency, effectiveness, and growth framework discussed in this session, mapped directly to your institution's current screening and adjudication setup.
A transparency-focused Iris demo
See exactly how Iris explains its decisions in plain English, and understand why that explainability is the mechanism that allows institutions to progressively extend autonomy to the machine with confidence.
A readiness assessment
Honest conversation about where you are in the build vs. buy decision, what your natural upgrade cycle looks like, and what a phased deployment could realistically deliver for your team.