Analysts get answers without waiting on a data team
The AI Assistant answers analysts in plain language: role-based dashboards, an Inspector console that explains why an account was flagged with links to the evidence, and detection rules drafted with simulation and backtesting before they reach production. Every block or hold comes with a regulator-ready report. Investigation time drops from minutes to seconds.
Handles fraud response, always with a human in control
The AI Workforce executes multi-step fraud operations at machine speed, inside policy boundaries you define. It clusters related risk so sleeper mule networks surface as networks, applies cooling-off periods and temporary limits, and adapts to new patterns, including deepfake-assisted impersonation. It never moves money on its own; high-impact actions require human confirmation.
Connect the risk signals across channels that point-in-time tools miss
The Large Account Model reads account behavior, not language. Trained on the full event history of an account across channels, it detects the temporal patterns that precede fraud: micro-transaction testing, behavioral drift, split-channel takeover. Every risk state carries reason codes tied to observable behavior. No black boxes.
PS23/4, PSD3, Nacha's 2026 rules, Brazil's MED 2.0, and more are converging on the same moment: before a transaction is initiated. Every capability on these two pages produces evidence-linked, reviewable outputs, because regulators will ask. And your data stays yours, on-prem or in your private cloud, under least-privilege access and complete audit trails.
Bring one recent scam loss and 15 minutes. We will show you where the preparation signals appeared, and where Acoru would have intervened, before a transaction was initiated.
