AI Transaction Monitoring in Regulated FinTech
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A complex decision workflow, made measurable.
An EU SME FinTech needed to bring together suspicious-transaction context and support analyst decisions within a broader data and integrations platform.
My role
I led product delivery of a Transaction Monitoring AI assistant, working across product, engineering and operations on workflow, data, decision logic and rollout. This was part of four platform products built from zero, with three cross-functional teams.
Evidence
65% of suspicious transactions were handled fully automatically by the assistant.
The wider platform programme reduced time-to-market by 40%.
What this demonstrates
AI workflow discovery, regulated decision support, data and tool integration, measurable acceptance and product ownership through implementation.
Employer product work. No customer data, internal architecture or confidential operational thresholds are disclosed.
0 likes · 1 view · Oct 2, 2026
Led product delivery of an AI assistant that handled 65% of suspicious transactions automatically within a broader FinTech platform programme.
