Combine merchant intelligence, transaction signals and AI-assisted case workflows for payment risk operations.
Coris
Explore features, practical uses and pricing below.
Coris is an AI-assisted merchant and payment risk platform for payment platforms, payment facilitators, independent sales organizations and sponsor banks. It combines information about a business with transaction activity and internal platform data to support underwriting, monitoring and investigations.
The product is intended for teams making operational risk decisions about merchants. Analysts can inspect signals and case context, while operations leaders can define rules, routing and permitted actions. Coris also offers agents that assist a reviewer or carry out configured portions of a risk workflow.
The Merchant Intelligence product assembles several kinds of evidence, including business registration, online reputation, location information and website screening. AI industry classification predicts MCC and NAICS codes, helping a reviewer investigate whether a merchant's stated activity matches its observed business.
Other documented capabilities include merchant fraud scoring with reasoning and monitoring for changes in business status or web presence. Each signal answers a different question. A weak website score, mismatched classification or adverse mention should be inspected in context; it is not conclusive evidence that a business is fraudulent.
The Risk Platform supports custom rules, scheduled or event-driven actions, merchant tags and case management. Teams can prioritize and assign alerts, examine portfolio rollups and retain a record of actions. Reporting covers rule outcomes, team work and portfolio activity.
Transaction Monitoring combines merchant context with card and ACH transaction signals. Configured rules can hold or block suspicious payments and delay or pause payouts. These are consequential controls, so the proposed integration needs a clear account of which system makes the decision, how an exception is reviewed and how an incorrect action is reversed.
The AI agents overview describes case summaries, merchant research, information requests and workflows based on a team's operating procedures. It distinguishes assistive work from routine decision automation and broader autonomous workflows. The appropriate level of authority depends on the organization's policies and review process.
A payment platform could connect merchant and transaction data, define risk rules and begin with agents that summarize flagged cases. An analyst could inspect the source signals, ask for missing merchant information and record a decision. The team could then review incorrect flags and routing gaps before permitting a narrowly defined routine action. This suggested rollout makes the evidence and consequences visible before increasing automation.
Coris lists processor, CRM and data integrations, including Stripe Connect and Adyen. Confirm the exact account, transaction and action coverage for your environment. Incomplete internal records, external data gaps and changed business information can all affect the quality of a risk assessment.
AI summaries and scores still require validation against the underlying evidence and the team's policies. An audit trail helps reconstruct an action; it does not itself guarantee a correct decision or regulatory compliance. Public access is demo-led. Request a scoped proposal covering required data, integrations, monitoring, agent permissions, implementation and ongoing support, since the reviewed product pages do not provide a universal subscription price.