Redesign alerts, cases, escalation, and data flows so decisions are structured, repeatable, and built to scale under growth.
Ensure monitoring thresholds, CDD, and escalation models absorb rapid growth without burdensome backlogs or sacrificing decision quality.
Move beyond fragmented procedures to streamlined controls that are auditable, explainable, and defensible under supervisory scrutiny.
AML programs do not break at the policy level.
They break when growth stress-tests workflows, tooling, and escalation paths that were never engineered to scale.
Make decisions consistent under scale. Clarify ownership, escalation triggers, and review layers so outcomes stay traceable and defensible.
Get changes shipped, not just designed. Align Compliance, Product, and Engineering so AML improvements are implemented, adopted, and measured.
Turn leadership intent into day-to-day behavior. Convert risk appetite into thresholds, workflows, and tooling rules that guide monitoring, EDD, and escalation.
Standardize investigations and evidence. Make EDD depth, SAR/STR rationale, and QA repeatable so files hold up months later.
Speed up onboarding without weakening controls. Standardize OSINT evidence and move to trigger-based refresh so KYC stays clean as volume grows.
Reduce tool sprawl and manual work. Run vendors with KPIs + change control so performance does not drift and evidence stays connected.
Identify alert quality, backlog pressure, escalation design, workflow friction, and operational bottlenecks.
Reengineer workflows, escalation logic, and decision ownership so AML operations scale with growth.
Align monitoring, case tooling, and data flows so controls are enforced in streamlined tools, instead of scattered and inconsistent.
Ship changes with QA, metrics, and change control so improvements stick as products and volumes evolve.
Higher signal-to-noise and smarter routing so volumes do not create excessive queues.
Less workflow friction and fewer handoffs, so cycle times stay stable as volume grows.
Clear STR/SAR triggers, rationale, and QA for repeatability and defensibility.
Decision rights and measurable performance across monitoring, EDD, and escalation.
Use your current stack to its fullest and automate the right steps to eliminate repetitive toil.
Better data quality, traceability, and evidence retention so controls stand up to audit, licensing, and partner review.
Tech-led obliged entities where customer growth, product complexity, and regulatory exposure are increasing faster than AML operations can scale.
Our focus is on organizations that need scalable, defensible AML operations without slowing product velocity or overbuilding compliance teams.
iGaming Operators & PlatformsHigh-growth online gaming and betting businesses operating across multiple jurisdictions with increasing AML scrutiny.
Rapid player growth and escalating alert volumes
Fragmented KYC, OSINT monitoring, and payments tooling
Escalations and SAR decisions that do not scale under volume
Fintechs & Payments-Heavy PlatformsSoftware-first fintechs and PSP-adjacent platforms with complex flows, partners, and supervisory exposure.
Multiple products, rails, and jurisdictions
AML embedded across onboarding, payments, and monitoring
Pressure from banks, partners, or supervisors to mature controls
Scale-Ups Under Regulatory PressureCompanies where AML worked “well enough” at one stage but is now breaking under growth or expansion.
Case backlogs and manual workarounds emerging
Engineering and compliance misalignment
Upcoming inspections, audits, or market launches
You Are a Fit If…You are an obliged entity with real AML risk, real volume, and the budget to fix structural problems properly.
Tech-led, software-centric operating model
Willing to invest in scalable fixes, not band-aids
Need hands-on support across compliance, product, and engineering
AAYT is a boutique AML Ops advisory focused on fixing and scaling AML operations in high-growth iGaming and fintech companies.
We work hands-on with MLROs, compliance leaders, and legal and operations teams to design workflows and controls that actually function under real-world growth.
