Digital Due Diligence Consultant
KIRA is CleverChain’s digital due diligent consultant, which leverages the same underlying architecture, logic and capabilities of VERA.
Core functionality
Interactive due diligence / KYC / KYB analyses; guided or open-ended; stand-alone or integrated into VERA
Intended use case
Customer onboarding (physical and legal entities), reviews, prospecting, EDD investigations, Third-party due diligence and risk assessment (eg supplier risk assessment)
Typical customer profile
Financial institutions (banks, insurances, payment companies), Industrial groups, Professional services (eg legal, compliance advisory)
Typical workflow it supports
Onboarding, Escalation, Reviews, Audit, Prospecting
Due diligence that understands the business.
What it does.
Autonomous Data Remediation Agents build on four foundational elements – triggers, actions, logic and data – to verify and monitor the accuracy, completeness and up-to-datedness of customer and third-party data across pre-defined data points. The user's policies, data sets and regulatory mapping are pre-wired into custom workflows to align with the internal review protocol. Data points include static fields such as trading name, shareholders and directors, as well as fields derived from an in-depth assessment, such as complex structures, nature of business – including exposure to money service business (MSB) – and industry risk. Rules are defined in advance to validate findings, support escalations and enable the optional customer outreach to confirm the updates. As of October ’26, CleverChain is remediating over 60 million data points per month.
What industry problems, challenges or unmet need does it address
Autonomous Data Remediation Agents address the structural challenge of verifying and monitoring the accuracy, completeness and up-to-datedness of customer data:
a. Ability to consistently remediate large customer books. These Agents have proven its ability to remediate at scale and in short timeframes entire customer books of millions of records, including small businesses, sole traders and charities, flagging discrepancies or mismatches and automating updates. At the same time, the ability to screen and assess the materiality of changes in legal entities and Key Account Parties (KAP) has supported internal escalation and risk assessment.
b. Standardization of data sets and remediation protocol. These Agents operate on an entirely configurable, bespoke set of data points, which reflects both the user’s individual data requirements, as well as the purpose of remediation. Processing, alerts, escalation and outreach are also components of configurable workflows.
c. Lack of normalized input, rules, output. These Agents normalize data, produce the evidence necessary to reconstruct an update, perform systematic quality assurance about the consistency and authority of the sources and formulate actionable summaries to support analysts’ review as we as potential outreach to customers to confirm the updates.
d. Lack of automation in customer outreach. If required, the Agents can support branded customer outreach to further automate the step of confirming updates.
Continuous monitoring after point-in-time remediation. The Agents operate both at a point in time and continuously. The same Agent performs event-driven and time-based monitoring, re-assessing entities across the pre-defined data points.