Unit21.ai ✓
Stop financial crime faster with AI.
Verdict
A quick read before you dig into the full page.
- Best if
- Stop financial crime faster with AI
- Skip if
- Dependent on learning outcomes
- Pick this when
- Customizable according to SOPs
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Overview
Unit21's AI Risk Infrastructure is a platform designed to detect, investigate, and manage risks in financial crime. It streamlines financial crime operations by intelligently automating the workflow, producing regulator-grade outputs that the user's team can review, approve, and defend.
The platform is specially configured according to the user's standard operating procedures, thresholds, and risk appetite, allowing teams to focus on judgment rather than data collection.The tool operates within the system where detection and investigations occur, ensuring repeatable, measurable and defensible outcomes.
It's designed to execute the work by investigating step-by-step and recommending evidence-based actions. The tool also showcases its work transparently, providing a clear log of steps taken, sources used, and assumptions made, ideal for audits.
Over time, the system learns from outcomes, improving future detection and decisioning.Unit21's AI Infrastructure is also geared to build custom AI tasks using plain English to cater to the specific needs of the user's team.
In addition, it ensures defensibility and regulatory compliance by being transparent by design, driven by evaluation and human oversight. The tool follows an 'AI does the work, humans make the call' approach, providing human-in-the-loop control by default, and built for reliability and proven performance in regulatory examinations.
Access & connections
Where you can use Unit21.ai, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- Tabular
Output
- Tabular
Pros & cons
Pros
- Customizable according to SOPs
- Automated crime investigation workflow
- Produces regulator-grade outputs
- Ensures defensibly and compliance
- Transparent work operations
- Logs steps, sources, assumptions
- Improves detection and decisioning
- Designed for audits
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- Human-evidence based action recommendations
- Provides human oversight
- Reliable and performance proven
- 'Humans make the call' approach
- Streamlines financial operations
- Built-in learning from outcomes
- Guidance on financial thresholds and risk appetite
- Efficient data collection
- Fast crime detection
- Operates within detection and investigation system
- Consistent audit-ready outcomes
- On-the-fly task customization
- Regulatory filing support
- Supports real-time monitoring
- Features device intelligence
- Includes transaction monitoring
- Inbuilt case management
- Supports multiple financial verticals
- Integrates with existing systems
- Built for regulatory exams
- Automated alert triage
- Facilitates evidence gathering
- Aids in narrative drafting
- Consistency checks against SOP steps
- Provides analysis on alert's data
- Allows QA and approval
- Supports decision escalation
- Transparent decision rationale
- Configurable program without rewriting
- Equipped with Agentic Task Builder
- Explains every run, audit-logged, approved
- Does not use your data for training
- Supports external research
- Structured inside data analysis panel
- Secure enterprise grade infrastructure
- Reduces false positives
- Saves analyst hours
- Enables faster investigations
- Produces regulator ready narrative
- Configurable guardrails for human review
- Reduces alert backlog via automation
Cons
- Limited to financial crime
- Requires SOPs custom configuration
- Dependent on human oversight
- May add complexity to workflow
- Dependent on learning outcomes
- Lack of multi-language support
- No mention of scalability
- Requires user-defined thresholds
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- No stated interoperability
- Unclear implementation process
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