Fraud Detection & Prevention
Monitoring transactions in real time for suspicious patterns. Balances blocking fraud against not disrupting legitimate purchases.
What it does
LiveMonitoring transactions in real time for suspicious patterns. Balances blocking fraud against not disrupting legitimate purchases.
The traditional flow
Liveflowchart TD
A[Transaction scored by fraud model] --> B{Score above threshold?}
B -->|Yes| C[Transaction held or declined]
B -->|No| D[Transaction proceeds]
C --> E[Analyst manually reviews flagged case]Where it breaks
LiveMain pain pointManual review of flagged transactions creates delay and can wrongly block legitimate customers.
Stage 2: The What-If redesign
Tools in use today
Coming soonThe systems, spreadsheets and handoffs this process relies on in a typical organization.
Pain points in depth
Coming soonEach pain point broken down: where it happens, who feels it, and what it costs in time, errors or risk.
Today's critical user journey
Coming soonWho touches the process, in what order, and where delays and errors creep in.
The What-If agent ecosystem
Coming soonA named roster of agents, each with one responsibility, plus the orchestration diagram and the human checkpoints.
The new critical user journey
Coming soonThe same journey redesigned around the agents: what changes for each person and where they still step in.
Before and after
Coming soonA side-by-side comparison of the traditional flow and the agentic redesign.
How each pain point gets solved
Coming soonEvery pain point mapped to the agent or checkpoint that removes it.
Business outcomes
Coming soonThe generic business outcomes this redesign could drive. Any figures are illustrative estimates, never measured results.