How can financial institutions automate complex or non-standard financial crime investigations when no existing tools support them?
Institutions can use Iris 7 to design and deploy specialised AI Agents that replicate expert investigative reasoning, enabling complex and non-standard investigations to be automated at scale while maintaining policy-aligned, auditable decisions.
Iris 7 Custom Build enables institutions to design and deploy AI agents for complex financial crime workflows, allowing them to address emerging risks, scale investigations, and close capability gaps without increasing operational burden.
Key Client Challenges
Financial crime risk evolves faster than traditional compliance technology can adapt. As a result, institutions face gaps where existing tools cannot support emerging risks or complex investigative needs.
Common challenges include:
In these situations, institutions often rely on manual processes or fragmented tools, limiting scalability and creating inefficiencies. Institutions need a way to automate complex investigative decisioning without rebuilding infrastructure or waiting for new vendor solutions.
Workflow Definition
Institutions define investigative workflows aligned with their internal policies, typologies, and operational procedures.
Agent Design and Training
AI Agents are configured to interpret signals, evaluate evidence, and apply structured reasoning consistent with institutional policy and investigative practices.
Autonomous Decision Execution
Once deployed, Agents execute investigations at scale, producing structured decisions with clear, audit-ready reasoning aligned with governance frameworks.
AI Agents aligned with institutional policy and investigative workflows
Designed to operate within existing governance frameworks
A platform for designing and deploying autonomous decision agents that automate complex financial crime investigations, enabling institutions to apply policy and expert reasoning at scale.
