Service detail
AI pro regulované subjekty
AI pro regulované subjekty
Implementace AI do AML, compliance a anti-fraud procesů u regulovaných subjektů — s jasně nastavenými hranicemi, kde rozhoduje člověk.
Implementace AI do AML, compliance a anti-fraud procesů u regulovaných subjektů — s jasně nastavenými hranicemi, kde rozhoduje člověk.

Who this service is for — and who it is not for
Who it is for
This service is suitable for regulated or AML-obliged businesses that:
manage AML/KYC work through emails, spreadsheets, shared folders, or disconnected tools;
want to understand which AML workflow steps could be automated safely;
need a quick first view before committing to a full automation project;
want to reduce manual work without removing human review;
handle onboarding, periodic reviews, monitoring, escalation, or internal reporting manually;
are considering AI agents but do not want uncontrolled AML decision-making.
Who it is not for
This service is not suitable for businesses that:
expect AI to make final AML or customer risk decisions;
want to fully replace their compliance officer, MLRO, or human reviewer with an AI agent;
do not have any defined AML workflow to review.
Problems the snapshot helps identify
Manual AML work hidden inside daily operations
Many AML tasks are still handled manually: document requests, missing information checks, review reminders, case routing, and status tracking. The snapshot helps identify which of these steps are repetitive enough to be automated.
Unclear boundary between automation and judgment
Not every AML task should be automated. The snapshot highlights where AI agents may support the workflow — and where human judgment, escalation, quality verification, or regulatory responsibility must remain.
Fragmented onboarding and review process
AML onboarding, monitoring, periodic reviews, and reporting often sit across multiple tools, inboxes, and spreadsheets. The snapshot helps show where the process lacks structure and where automation could create cleaner handovers.
Weak evidence and review traceability
AML work must be explainable later. If reviewer notes, decisions, missing documents, escalation history, and quality checks are not captured clearly, automation may increase risk instead of reducing it. The snapshot identifies where better evidence capture may be needed.
What we review in the snapshot
Onboarding
We look at how client information is collected, how KYC documents are requested, how missing information is tracked, how UBO data is handled, and how review materials are prepared before human assessment.
Monitoring and periodic reviews
We review how ongoing checks, periodic reviews, alerts, refresh requests, case notes, and review deadlines are currently tracked and routed.
Reporting
We look at how internal reporting inputs, case summaries, escalation notes, decision logs, and management reporting materials are prepared and retained.
Human-control points
We identify where automation should stop: risk appetite, escalations, quality verification, communication with authorities, regulatory judgment, and final decisions.
Other ways we can help
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