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Alloy

Identity and risk orchestration

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Alloy combines onboarding, ongoing risk management, fraud models, compliance workflows, and a native AI Assistant. Its central role is orchestration: it connects external data solutions and applies policy across customer journeys. Product breadth and native ownership of the underlying data are different questions.

Our assessment

Broad through orchestration and its own risk tools. It does not make every connected verification product native.

Best fit and limitations

A strong candidate when the main challenge is coordinating identity and compliance providers. For a payment processor, it could coordinate checks while merchant risk and payment controls remain in the processor stack.

  • Confirm which providers, contracts, and responsibilities sit inside the proposed configuration.
  • Data source availability does not establish included licenses, regional coverage, or equal integration depth.
  • General decisioning and KYB workflows do not establish a complete merchant loss, reserve, or credit underwriting system.

Tools 5

OnboardingKYC and KYB decision flows
+
  • Coordinate data checks and step-up verification
  • Configure policies by customer, product, and channel
Source 1
Data orchestrationProvider connection layer
+
  • Connect external identity and risk solutions
  • Run checks in parallel and adapt provider choices
Source 1
Fraud Signal + Fraud Attack RadarPredictive fraud tools
+
  • Customer fraud risk scoring
  • Portfolio-level detection of coordinated origination attacks
Source 2
Compliance + perpetual KYC/KYBOngoing relationship review
+
  • Refresh customer and business risk
  • Combine ongoing AML and fraud review with policy
Source 3
AI AssistantProcedural review
+
  • Document review, watchlist investigation, and KYB research
  • Recommendations or configured automated actions
Source 2

AI capabilities

Fraud models + a native AI Assistant

Alloy separates predictive fraud intelligence from an agentic assistant for procedural work. The assistant uses the context of its decisioning and identity platform.

Resolve review tasksResearch business entitiesExplain pending applications
What to validate

Require source attribution, action approval rules, decision write-back records, and evidence that an assistant cannot change policy outside its role.

Source 4

Implementation

Integration checklist
  • Inventory checks, provider contracts, data rights, and fallback routes.
  • Define the system of record for application, merchant, owner, and monitoring status.
  • Test provider timeout, duplicate webhook, manual review, and policy rollback behavior.
Commercial scope

Quote required. Separate platform fees, evaluations, connected data, monitoring, cases, and AI Assistant usage. No annual price is assumed.

Estimate total cost
Questions for the demo
  1. Which checks are included, separately billed, or contracted directly with providers?
  2. Can we move every policy and case record out of Alloy if needed?
  3. What remains to build for merchant exposure and settlement controls?

Sources 4

Onboarding and orchestrationwww.alloy.com
Product
AI Assistant launch and fraud modelswww.alloy.com
Announcement
Compliance workflowswww.alloy.com
Product
Actionable AIwww.alloy.com
Product

Reviewed September 17, 2026. Product claims come from public sources. Fit, limits, and evaluation questions are our analysis. This is not a hands-on performance test. Methodology