Quadible connects to your existing AML and fraud systems to prioritise alerts automatically. When a case needs investigation, AI Investigators work alongside your analysts to gather evidence, follow the money and prepare reports.
Two specialised agents, one investigation core. Each follows its team's workflows and priorities, with analysts in control.
Thorough investigations. Defensible outcomes.
Fast investigations. Timely action.
Your AML monitoring and fraud detection platforms continue doing what they do today. Quadible connects to these systems and your existing banking data to prioritise alerts and assist investigations, without replacing your infrastructure or workflows.
The agent prioritises incoming alerts. Once a case is opened, the AI Investigator works alongside the analyst to gather information, follow leads and build the evidence needed for a decision.
The agent brings together customer context, transaction activity and the original alert, so the analyst can quickly understand the case and decide where to look next.
The AI Investigator follows money flows and reveals relationships between customers, accounts, devices and companies, helping the analyst understand what lies behind the original alert.
The agent verifies counterparties, assesses red flags against your bank's typologies and helps manage outstanding checks and document requests. Each finding is backed by evidence for the analyst to review.
As the investigation progresses, evidence and findings are organised into a case file. The agent drafts reports in your bank's templates, with findings linked to their sources and ready for analyst review.
From your existing sources, such as procedures, typology documents, emails, team chats and closed cases, we generate a knowledge base of your typologies, red flags, workflows and escalation rules. Your team approves, edits or rejects every record before the AI Investigators use it.
We connect to your core banking, CRM, document and case management systems, or start from historical exports.
A knowledge base is generated from your documents, emails and closed cases, then validated with your analysts in workshops.
The knowledge base is reviewed with your team periodically, as typologies, procedures and systems change.
Control stays with the institution, from where the data resides to what the agent is allowed to do.
Deployed in the bank's environment, with the bank's own model endpoint.
Analysts approve sensitive actions, recommendations and final reports.
Every tool call, finding and report figure stays auditable.
SSO, permissions, access lists and sandboxed integration tools.
Registry lookups send company names only, never customer data.
Behavioural test scenarios check every change before it reaches your analysts.
We run a live demo end to end on a case like yours, then show the same on your own historical data.